# Pharma, FDA & Clinical Trials MCP β€” Claude, ChatGPT, Cursor (`church_of_loujess/pharma-fda-clinical-trials-mcp`) Actor Zero-key Pharma, Biotech & Regulatory Intelligence MCP Server over Streamable HTTP. 5 live tools across ClinicalTrials.gov v2, OpenFDA (approvals, FAERS adverse events, recalls), and NCBI PubMed. Built for Claude Desktop, Cursor, ChatGPT, Codex & AI Agents in 128MB RAM. - **URL**: https://apify.com/church_of_loujess/pharma-fda-clinical-trials-mcp.md - **Developed by:** [H H](https://apify.com/church_of_loujess) (community) - **Categories:** MCP servers, AI, Agents - **Security:** Limited permissions - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $24.00 / 1,000 mcp tool calls This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ### What can Pharma, FDA & Clinical Trials MCP Server do? **Pharma, FDA & Clinical Trials MCP Server** is a live, **zero-API-key Streamable-HTTP Model Context Protocol (`MCP`) server** running in **128 MB Standby Mode** (`https://church-of-loujess--pharma-fda-clinical-trials-mcp.apify.actor/mcp`). Connect **Claude Desktop, Cursor, ChatGPT Developer Mode, Windsurf, Codex, or custom AI agents** to **5 authoritative regulatory & biomedical tools** spanning **ClinicalTrials.gov API v2, US OpenFDA (Drugs@FDA, FAERS adverse events, enforcement recalls), and NCBI PubMed** β€” or run any tool directly from Apify Console:
πŸ“¦ What you can extract βš™οΈ Features & integrations
πŸ§ͺ **Live clinical trials (`ClinicalTrials.gov v2`)** by condition, drug, sponsor, Phase 1–4, or recruitment status
πŸ“‹ **Full NCT protocol details** inclusion/exclusion criteria, dosing arms, primary/secondary endpoints & site counts
πŸ“Š **Competitive pipeline maps** sponsor share, phase breakdown, total enrollment & nearest primary completion dates
⚠️ **OpenFDA FAERS & recalls** Drugs@FDA approvals, top MedDRA adverse reactions, serious outcomes & enforcement recalls
πŸ“š **NCBI PubMed peer-reviewed evidence** PMIDs, journals, DOIs, publication types, lead/senior authors & dates
πŸ’Έ **`$0.00` free MCP discovery** `initialize`, `tools/list`, and `ping` are completely free; pay only per `tools/call` 		⚑ **Native Streamable HTTP (`/mcp`)** supports MCP protocols `2025-06-18`, `2025-03-26` & `2024-11-05`
πŸ”“ **Zero external API keys** no FDA, NIH, or PubMed keys needed β€” connect with just your Apify token
πŸͺΆ **Ultra-fast 128 MB Standby** sub-second warm response with zero headless browser or proxy overhead
πŸ”€ **Dual-Mode execution** works both as a live `/mcp` server AND as a standard Console/API Batch Actor
⬇️ **Structured JSON + Dataset** returns clean LLM-sized payloads (aggregating 2.3 MB raw FAERS blobs automatically)
πŸ€– **Plug-and-play AI clients** ready for Claude, Cursor, Windsurf, OpenAI Responses API, LangGraph & CrewAI
Biopharma BD\&L teams, healthcare hedge funds, regulatory affairs specialists, medical writers, and clinical AI builders normally juggle three incompatible government APIs β€” including OpenFDA raw event payloads that exceed 2 MB per record and blow up LLM context windows. This MCP server unifies all three into compact, citation-ready tool responses. ### What data can I extract with Pharma, FDA & Clinical Trials MCP Server? Every MCP `tools/call` (and every Console Batch run) pulls live records directly from official US federal biomedical registries β€” **zero cached stale snapshots**: - **ClinicalTrials.gov API v2 search & full NCT protocols:** *from indication scan to inclusion/exclusion criteria*. `search_clinical_trials` and `get_trial_details` return `nctId`, `title`, `status`, `phases`, `studyType`, `enrollment`, `leadSponsor`, `sponsorClass` (`INDUSTRY`, `NIH`, `OTHER`), `startDate`, `primaryCompletionDate`, `conditions`, `interventions`, `primaryOutcomes`, eligibility criteria, and canonical `https://clinicaltrials.gov/study/` URLs. - **Indication-level competitive pipeline analytics:** *instant BD\&L landscape tables*. `analyze_competitive_pipeline` computes `totalMatchingStudiesOnRegistry`, `phaseDistribution`, `statusDistribution`, `topSponsors`, `topInterventions`, `totalSampledEnrollment`, and `upcomingPrimaryReadouts`. - **Context-safe OpenFDA safety, approvals & recalls:** *server-side MedDRA reaction aggregation*. Instead of dumping raw megabyte FAERS reports, `detect_fda_adverse_events_and_recalls` queries OpenFDA's server-side `count=patient.reaction.reactionmeddrapt.exact` endpoint plus `drugsfda` and `drug/enforcement` to deliver exact reaction frequencies, serious vs. non-serious counts, NDA/BLA numbers, and Class I/II/III recall notices in a crisp 4 KB JSON payload. - **NCBI PubMed E-Utilities literature citations:** *peer-reviewed grounding with PMIDs & DOIs*. `search_pubmed_clinical_evidence` resolves `pmid`, `title`, `journal`, `pubDate`, `authors`, `doi`, `pubTypes`, and `https://pubmed.ncbi.nlm.nih.gov//`. #### πŸ› οΈ Live MCP Tools Included on This Server | MCP Tool Name | Arguments (`params.arguments`) | What It Returns | | :--- | :--- | :--- | | `search_clinical_trials` | `condition`, `intervention`, `sponsor`, `phase` (`PHASE1`..`PHASE4`), `status`, `maxResults` (`1`–`50`) | Search ClinicalTrials.gov v2 and return NCT IDs, titles, phases, enrollment, sponsors, completion dates, interventions & primary outcomes. | | `get_trial_details` | `nctId` (required, e.g. `"NCT04280705"`) | Fetch full study protocol, brief/detailed summary, eligibility criteria, study design, dosing arms, primary/secondary endpoints & site summary. | | `analyze_competitive_pipeline` | `condition`, `sponsor`, `maxStudiesSampled` (`10`–`50`, default `35`) | Aggregate up to 50 live trials in an indication into phase counts, status breakdown, top biopharma sponsors, top molecules & upcoming readouts. | | `detect_fda_adverse_events_and_recalls` | `drugName` (required, brand or generic e.g. `"ozempic"`, `"semaglutide"`) | Query OpenFDA for Drugs@FDA NDA/BLA approvals, FAERS top MedDRA adverse reaction counts + serious outcome split, and FDA drug recalls. | | `search_pubmed_clinical_evidence` | `query` (required), `maxResults` (`1`–`25`, default `10`) | Search NCBI PubMed biomedical literature and return PMIDs, article titles, journals, DOIs, authors, dates & direct PubMed URLs. | > Need more specialized workflows? Combine this Actor with these dedicated tools from our suite: > > - βš–οΈ [SEC EDGAR, UK Companies House & LEI MCP Server](https://apify.com/church_of_loujess/sec-edgar-companies-house-mcp): pair biotech clinical pipelines with SEC EDGAR 10-K/8-K filings, cash runway XBRL facts & Form 4 insider trades > - πŸ“‘ [Yahoo Finance, Trends, News & Reddit MCP Server](https://apify.com/church_of_loujess/market-news-sentiment-mcp): add live biotech stock quotes (`XBI`, `LLY`, `NVO`), options & breaking FDA news via MCP > - πŸ’Ή [Yahoo Finance Scraper](https://apify.com/church_of_loujess/yahoo-finance-scraper): batch-scrape historical OHLCV, options implied volatility & financials for public biotechs > - πŸ“° [Google News Scraper Fast](https://apify.com/church_of_loujess/google-news-scraper-fast): monitor FDA PDUFA & Phase 3 readout press releases ### How much will Pharma, FDA & Clinical Trials MCP Server cost? Pharma, FDA & Clinical Trials MCP Server uses transparent **Pay-Per-Event (PPE)** pricing where one event (`mcp-tool-call`) equals one successful **MCP Tool Call**. Connecting your AI client (`initialize`), inspecting tool schemas (`tools/list`), and health/keepalive checks (`ping`) are **`$0.00` FREE** β€” there is **$0.00 Actor start fee** on MCP calls. Paid Apify plans automatically unlock volume discounts up to **52% off** ($0.035 on Starter/Bronze, $0.028 on Scale/Silver, and **$0.024** on Business/Gold, Platinum & Diamond) with zero residential proxy surcharges: | Apify Plan / Tier | Price per MCP `tools/call` execution | Price per 1,000 MCP tool calls | Included Monthly Credit | Approx. Monthly Capacity | | :--- | :--- | :--- | :--- | :--- | | **Free (`FREE`)** | `$0.05` | `$50.00` | `$5.00 / mo` | **~100** MCP tool calls | | **Starter (`BRONZE`)** | `$0.035` | `$35.00` | `$29.00 / mo` | **~828** MCP tool calls | | **Scale (`SILVER`)** | `$0.028` | `$28.00` | `$199.00 / mo` | **~7,107** MCP tool calls | | **Business (`GOLD`)** | `$0.024` | `$24.00` | `$999.00 / mo` | **~41,625** MCP tool calls | | **Enterprise (`PLATINUM` / `DIAMOND`)** | `$0.024` / `$0.024` | `$24.00` | Custom | Custom high-volume SLA | > **High-efficiency tip:** Each `mcp-tool-call` invocation can return multiple structured records in a single JSON-RPC response, and runs inside a lean **128 MB** Standby container. Check the [pricing tab](https://apify.com/church_of_loujess/pharma-fda-clinical-trials-mcp/pricing) for full details. ### How do I use Pharma, FDA & Clinical Trials MCP Server? Pharma, FDA & Clinical Trials MCP Server is engineered for **zero-friction setup** whether you are connecting an AI coding/chat client over **Streamable HTTP (`/mcp`)** or running batch extractions in **Apify Console**: #### Option A: Connect to Claude Desktop, Cursor, Windsurf, or ChatGPT in 60 seconds 1. [Create](https://console.apify.com/sign-up) a free Apify account and copy your **Personal API Token** from [Console -> Settings -> Integrations](https://console.apify.com/settings/integrations). 2. Add the live Streamable-HTTP endpoint **`https://church-of-loujess--pharma-fda-clinical-trials-mcp.apify.actor/mcp`** to your AI client's `mcpServers` config: ```json { "mcpServers": { "pharma-fda-clinical-trials-mcp": { "url": "https://church-of-loujess--pharma-fda-clinical-trials-mcp.apify.actor/mcp", "headers": { "Authorization": "Bearer " } } } } ``` 3. Restart or reload your MCP client β€” it will automatically run `initialize` and `tools/list` (`$0.00` free) and expose all live tools to your AI assistant. 4. Ask your question in plain English; your AI agent will select the right tool, pass structured arguments, and cite live primary sources. #### Option B: Run directly in Apify Console (No-Code Batch Mode) 1. Open **[Pharma, FDA & Clinical Trials MCP Server](https://console.apify.com/actors/jdEMNDGb9M1VOclZ9)** in Apify Console. 2. Choose which tool to execute under **MCP Tool to Execute (Batch Mode)** (`tool`). 3. Fill in the matching input parameters (`condition`, `intervention`, `sponsor`, `phase`) in the Console input form. 4. Click **Save & Start** and wait a few seconds for live extraction to finish. 5. Preview your results in the **Storage -> Dataset** tab and export in **JSON, CSV, Excel, or XML**, or fetch via the Apify REST API. ### ⬇️ Input Use this Actor in **two ways**: **(1) Live Streamable-HTTP MCP Mode** (`POST https://church-of-loujess--pharma-fda-clinical-trials-mcp.apify.actor/mcp`) from any AI client, OR **(2) Console / REST Batch Mode** by selecting `tool` and filling the matching parameters. #### Mode 1: Live Streamable-HTTP MCP Client Connection (`/mcp`) Paste into `claude_desktop_config.json`, `.cursor/mcp.json`, Windsurf, or OpenAI Agents SDK β€” your AI assistant automatically discovers all 5 tools (`$0.00` handshake) and invokes them on demand. | Input / Configuration | What it returns | | :--- | :--- | | `search_clinical_trials` (`{"condition": "NASH", "phase": "PHASE3"}`) | Active Phase 3 MASH/NASH trials, sponsors & primary readout dates | | `detect_fda_adverse_events_and_recalls` (`{"drugName": "ozempic"}`) | Drugs@FDA approval + top FAERS MedDRA reactions + FDA recall history | | `search_pubmed_clinical_evidence` (`{"query": "tirzepatide heart failure"}`) | Peer-reviewed PubMed citations with PMIDs & DOIs | **Input JSON example:** ```json { "jsonrpc": "2.0", "id": 1, "method": "tools/call", "params": { "name": "detect_fda_adverse_events_and_recalls", "arguments": { "drugName": "semaglutide" } } } ``` #### Mode 2: Apify Console & REST API Batch Execution Run any of the 5 tools directly as a standard Apify Actor run and export results to JSON, CSV, or Excel. | Input / Configuration | What it returns | | :--- | :--- | | `tool: "search_clinical_trials"` + `condition: "obesity"` + `phase: "PHASE3"` | Writes structured `clinical_trial` items into your default Apify Dataset | | `tool: "get_trial_details"` + `nctId: "NCT04280705"` | Full protocol record in Dataset Storage | **Input JSON example:** ```json { "tool": "search_clinical_trials", "condition": "obesity", "intervention": "semaglutide", "phase": "PHASE3", "status": "RECRUITING", "maxResults": 10 } ``` #### Complete Input Parameter Reference | Parameter | Type | Default | Required | Description | | :--- | :--- | :--- | :--- | :--- | | `tool` | `string` (`search_clinical_trials`, `get_trial_details`, `analyze_competitive_pipeline`, `detect_fda_adverse_events_and_recalls`, `search_pubmed_clinical_evidence`) | `"search_clinical_trials"` | No | Select which Pharma/FDA/PubMed MCP tool to execute when running directly from Apify Console or API. | | `condition` | `string` | `"obesity"` | No | Medical condition, indication, or therapeutic area (e.g. 'obesity', 'non-small cell lung cancer', 'alzheimer'). | | `intervention` | `string` | `β€”` | No | Optional drug, biologic, molecule, or device name (e.g. 'semaglutide', 'pembrolizumab'). | | `sponsor` | `string` | `β€”` | No | Optional lead sponsor name (e.g. 'Eli Lilly', 'Novo Nordisk', 'Pfizer'). | | `phase` | `string` | `β€”` | No | Optional ClinicalTrials.gov phase filter: PHASE1, PHASE2, PHASE3, PHASE4. | | `status` | `string` | `β€”` | No | Optional status filter: RECRUITING, ACTIVE_NOT_RECRUITING, COMPLETED, NOT_YET_RECRUITING. | | `nctId` | `string` | `β€”` | No | Exact NCT identifier such as NCT04280705. | | `drugName` | `string` | `β€”` | No | Brand or generic drug name for FDA approval, FAERS adverse event, and recall intelligence (e.g. 'ozempic', 'semaglutide'). | | `query` | `string` | `β€”` | No | Search query for peer-reviewed clinical studies on NCBI PubMed. | | `maxResults` | `integer` | `10` | No | Maximum records to return (1-50). | ### ⬆️ Output and setup All extracted records stream incrementally into your run's **Dataset** under the **Storage** tab in Apify Console. Preview results as a clean interactive table, download in **JSON, JSONL, CSV, Excel (`.xlsx`), XML, or RSS**, or consume items directly via the Apify REST API, Python/Node.js SDKs, or MCP. #### πŸ“¦ Verified dataset output sample #1 ```json { "tool": "search_clinical_trials", "recordType": "clinical_trial", "identifier": "NCT00006307", "title": "Epidemiology of Body Mass Index Rebound", "organization": "National Heart, Lung, and Blood Institute (NHLBI)", "statusOrPhase": "N/A | COMPLETED", "date": "2006-07", "url": "https://clinicaltrials.gov/study/NCT00006307", "details": { "nctId": "NCT00006307", "title": "Epidemiology of Body Mass Index Rebound", "status": "COMPLETED", "phases": [], "studyType": "OBSERVATIONAL", "enrollment": null, "leadSponsor": "National Heart, Lung, and Blood Institute (NHLBI)", "sponsorClass": "NIH", "startDate": "2000-08", "primaryCompletionDate": "2006-07", "conditions": [ "Cardiovascular Diseases", "Heart Diseases" ], "interventions": [], "primaryOutcomes": [], "hasPostedResults": false, "url": "https://clinicaltrials.gov/study/NCT00006307" } } ``` #### πŸ“¦ Verified dataset output sample #2 ```json { "tool": "search_clinical_trials", "recordType": "clinical_trial", "identifier": "NCT01616732", "title": "Testosterone and Weight Loss", "organization": "Austin Health", "statusOrPhase": "PHASE2 | COMPLETED", "date": "2015-11", "url": "https://clinicaltrials.gov/study/NCT01616732", "details": { "nctId": "NCT01616732", "title": "Testosterone and Weight Loss", "status": "COMPLETED", "phases": [ "PHASE2" ], "studyType": "INTERVENTIONAL", "enrollment": 100, "leadSponsor": "Austin Health", "sponsorClass": "OTHER_GOV", "startDate": "2013-04", "primaryCompletionDate": "2015-11", "conditions": [ "Obesity in Men" ], "interventions": [ { "type": "DRUG", "name": "Testosterone", "description": "TU im" }, { "type": "DRUG", "name": "placebo", "description": "placebo im" } ], "primaryOutcomes": [ { "measure": "weight", "timeFrame": "12 months" } ], "hasPostedResults": false, "url": "https://clinicaltrials.gov/study/NCT01616732" } } ``` #### Output Field Dictionary | Output Field | Type | Description | | :--- | :--- | :--- | | `tool / recordType` | `string` | Executed MCP tool name and normalized entity type (`clinical_trial`, `fda_safety_report`, `pubmed_article`, `pipeline_summary`). | | `identifier` | `string` | Primary registry ID (`NCT04280705`, `PMID:38912345`, or drug name). | | `title / organization` | `string` | Study/article title and lead biopharma sponsor, manufacturer, or journal. | | `statusOrPhase / date` | `string` | Phase/recruitment summary (e.g. `PHASE3 \| RECRUITING`) and completion/publication date. | | `url` | `string` | Direct verification link on `clinicaltrials.gov`, `open.fda.gov`, or `pubmed.ncbi.nlm.nih.gov`. | | `details` | `object` | Complete structured payload (interventions, endpoints, eligibility, FAERS reaction counts, NDA numbers, DOIs). | ### Notes, tips, and exceptions - **`$0.00` MCP handshake & discovery:** `initialize`, `notifications/initialized`, `tools/list`, and `ping` are **never billed** β€” the `mcp-tool-call` event fires strictly once per successful `tools/call` execution. - **Why 128 MB Standby matters:** Running in `128 MB` RAM keeps Standby compute overhead minimal so almost 100% of your Apify plan credit goes directly toward tool calls. - **Valid `phase` & `status` enums:** On ClinicalTrials.gov v2, pass uppercase `EARLY_PHASE1`, `PHASE1`, `PHASE2`, `PHASE3`, `PHASE4`, and statuses `RECRUITING`, `ACTIVE_NOT_RECRUITING`, `NOT_YET_RECRUITING`, `COMPLETED`. - **Not medical advice:** All outputs reflect public regulatory and scientific registry records (`ClinicalTrials.gov`, `OpenFDA`, `NCBI PubMed`) for research, regulatory intelligence, and due diligence β€” never clinical patient advice. ### What can you do with data from Pharma, FDA & Clinical Trials MCP Server? Pharma, FDA & Clinical Trials MCP Server powers high-ROI automation, lead generation, and AI agent pipelines. Here are four proven step-by-step recipes: #### 🧬 Biotech hedge-fund & BD\&L indication landscape memo in Claude Map every Phase 2/3 competitor, enrollment target, and upcoming catalyst date in 30 seconds. **Recipe:** 1. **Connect `/mcp` in Claude Desktop or Cursor.** Add the Standby URL + `Authorization: Bearer `. 2. **Prompt a multi-tool diligence workflow.** Ask Claude: *'Map the Phase 2 and Phase 3 competitive pipeline in idiopathic pulmonary fibrosis, inspect protocols for the top 3 recruiting trials, and summarize recent PubMed clinical readouts.'* 3. **Chain with SEC cash-runway checks.** Add **[SEC EDGAR, UK Companies House & LEI MCP](https://apify.com/church_of_loujess/sec-edgar-companies-house-mcp)** in the same Claude config to verify each biotech's cash balance and 10-Q burn rate! Replaces hours of manual ClinicalTrials.gov + EDGAR tab-switching. #### ⚠️ Automated pharmacovigilance & FDA recall surveillance Monitor post-market FAERS adverse event profiles and enforcement actions across a portfolio of approved drugs. **Recipe:** 1. **Schedule weekly Batch or n8n runs.** Call `detect_fda_adverse_events_and_recalls` for each drug in your formulary. 2. **Track serious outcome ratios & new recalls.** Alert regulatory affairs teams on Slack whenever a new FDA enforcement recall appears. Zero OpenFDA pagination or megabyte-JSON crashes. #### πŸ“ Grounded medical & scientific writing assistant Prevent LLM citation hallucinations when drafting clinical backgrounders or grant sections. **Recipe:** 1. **Invoke `search_pubmed_clinical_evidence` + `get_trial_details`.** Force your agent to cite real `PMID`, `DOI`, and `NCT` identifiers verified live. Every claim links directly to `pubmed.ncbi.nlm.nih.gov` or `clinicaltrials.gov`. #### 🀝 CRO & clinical-vendor B2B sales prospecting Biotechs with `NOT_YET_RECRUITING` Phase 1/2/3 trials actively procure CROs, patient-recruitment agencies, eCOA, and cold-chain logistics. **Recipe:** 1. **Query `status: "NOT_YET_RECRUITING"`.** Filter `sponsorClass == "INDUSTRY"`. 2. **Enrich biotech sponsor contacts.** Pass `leadSponsor` domains into **[Website Email, Phone & Tech Stack Finder](https://apify.com/church_of_loujess/website-email-phone-finder)**. High-precision trigger-based outbound for life-sciences B2B teams. ### Want to get other B2B, Social, Financial, or MCP Agent data? Chain this tool with our other **128 MB / 256 MB zero-proxy Apify Scrapers and Live Streamable-HTTP MCP Servers**:
βš–οΈ SEC EDGAR, UK Companies House & LEI MCP Server πŸ“‘ Yahoo Finance, Trends, News & Reddit MCP Server
πŸ”Œ Substack, B2B Churn & Startup Lead MCP Server 🎡 TikTok Intelligence MCP Server (6 Live Tools)
πŸ’Ή Yahoo Finance Stock Quotes, Options & Financials πŸ“° Google News Scraper Fast (Decoded URLs + RAG)
🌐 Website Email, Phone, Socials & Tech Stack Finder πŸ•ΈοΈ Fast Website Content & AI/RAG Markdown Crawler
### πŸ”Œ Using Pharma, FDA & Clinical Trials MCP Server with the Apify API, SDKs & MCP Automate **Pharma, FDA & Clinical Trials MCP Server** programmatically from Python, Node.js/TypeScript, cURL, workflow builders (**n8n, Make, Zapier, Clay, Pipedream**), or **Model Context Protocol (`MCP`)** AI clients. #### Python (`apify-client`) ```python from apify_client import ApifyClient client = ApifyClient("") run = client.actor("church_of_loujess/pharma-fda-clinical-trials-mcp").call( run_input={ "tool": "search_clinical_trials", "condition": "obesity", "intervention": "semaglutide", "phase": "PHASE3", "status": "RECRUITING", "maxResults": 10 } ) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) ``` #### Node.js / TypeScript (`apify-client`) ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: '' }); const run = await client.actor('church_of_loujess/pharma-fda-clinical-trials-mcp').call({ "tool": "search_clinical_trials", "condition": "obesity", "intervention": "semaglutide", "phase": "PHASE3", "status": "RECRUITING", "maxResults": 10 }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(`Extracted ${items.length} items:`, items); ``` #### One-Line Synchronous REST API (`cURL` β€” ideal for n8n, Make & Clay HTTP Columns) ```bash curl -X POST "https://api.apify.com/v2/acts/church_of_loujess~pharma-fda-clinical-trials-mcp/run-sync-get-dataset-items?token=" \ -H "Content-Type: application/json" \ -d '{"tool": "search_clinical_trials", "condition": "obesity", "intervention": "semaglutide", "phase": "PHASE3", "status": "RECRUITING", "maxResults": 10}' ``` #### Claude Desktop, Cursor, Windsurf & OpenAI MCP Configuration ```json { "mcpServers": { "pharma-fda-clinical-trials-mcp": { "url": "https://church-of-loujess--pharma-fda-clinical-trials-mcp.apify.actor/mcp", "headers": { "Authorization": "Bearer " } } } } ``` ##### Claude Code CLI one-liner: ```bash claude mcp add --transport http pharma-fda-clinical-trials-mcp "https://church-of-loujess--pharma-fda-clinical-trials-mcp.apify.actor/mcp" --header "Authorization: Bearer " ``` ### ❓ Frequently Asked Questions #### Am I charged when Claude or Cursor connects and lists the tools (`tools/list`)? No! `initialize`, `notifications/initialized`, `tools/list`, and `ping` are **`$0.00` FREE**. You are only charged once per successful `tools/call` invocation (`$0.05` on Free down to `$0.024` on Gold–Diamond). #### Do I need an OpenFDA API key or NCBI Entrez key? No β€” zero third-party keys are required. Only your standard `APIFY_API_TOKEN` is used to authenticate against the Standby `/mcp` endpoint. #### How do I connect this MCP server to Claude Desktop, Cursor, or Windsurf? Add `"url": "https://church-of-loujess--pharma-fda-clinical-trials-mcp.apify.actor/mcp"` with header `"Authorization": "Bearer "` in your `mcpServers` config (exact copy-paste JSON is in the integration section above). #### Can I also run it without MCP as a normal Apify Actor or REST API? Yes! In Apify Console or via `apify-client`, simply select `tool` (for example `"search_clinical_trials"`) and pass `condition`, `drugName`, `nctId`, or `query`. Results save directly to your Apify Dataset. #### Why doesn't `detect_fda_adverse_events_and_recalls` overflow Claude's context window? Raw OpenFDA `/drug/event.json` records often exceed `2.3 MB` each because patient medication lists include thousands of concomitant entries. Our server executes server-side MedDRA reaction count aggregations + targeted NDA/recall queries so responses stay compact (~3–6 KB) and accurate. #### Are FAERS adverse event counts proof of causation? No β€” per FDA guidance, FAERS reflects spontaneous post-market reports and does not by itself establish causal incidence rates. #### Is it legal to extract public data with Pharma, FDA & Clinical Trials MCP Server? Pharma, FDA & Clinical Trials MCP Server only accesses **publicly available web pages, feeds, and registries** that require no private account login or authentication bypass. Keep in mind that extracted contact fields (such as public business emails, names, or usernames) can still qualify as personal data under frameworks like the [GDPR](https://en.wikipedia.org/wiki/General_Data_Protection_Regulation) or CCPA depending on jurisdiction. Always ensure you have a lawful basis (such as legitimate B2B interest) and consult Apify's guide on [the legality of web scraping](https://blog.apify.com/is-web-scraping-legal/). #### Can I integrate Pharma, FDA & Clinical Trials MCP Server with Clay, n8n, Make, Zapier, or Google Sheets? Yes. Every run outputs clean, flat-friendly fields alongside nested detail objects and integrates natively with **Clay, n8n, Make, Zapier, Slack, HubSpot, Airtable, Google Sheets, Airbyte, LangChain, and CrewAI** via [Apify Integrations](https://apify.com/integrations). You can also attach [webhooks](https://docs.apify.com/integrations/webhooks) to trigger downstream workflows automatically the instant a run succeeds. #### Can I call Pharma, FDA & Clinical Trials MCP Server programmatically via the Apify API? Yes. Use the official `apify-client` [Python package](https://apify.com/church_of_loujess/pharma-fda-clinical-trials-mcp/api/python) or [Node.js NPM package](https://apify.com/church_of_loujess/pharma-fda-clinical-trials-mcp/api/javascript), or call the synchronous `/run-sync-get-dataset-items` REST endpoint directly. Full specifications are in the [Apify API v2 reference](https://docs.apify.com/api/v2). #### Pharma, FDA & Clinical Trials MCP Server not working or need a custom feature? We actively maintain and monitor all 26 Actors and MCP Servers in our portfolio. If you encounter an edge case, unexpected output, or want to request a new field, please open a ticket on the Actor's [Issues tab](https://apify.com/church_of_loujess/pharma-fda-clinical-trials-mcp/issues/open) with your Run ID so we can resolve it rapidly. # Actor input Schema ## `tool` (type: `string`): Select which Pharma/FDA/PubMed MCP tool to execute when running directly from Apify Console or API. ## `condition` (type: `string`): Medical condition, indication, or therapeutic area (e.g. 'obesity', 'non-small cell lung cancer', 'alzheimer'). ## `intervention` (type: `string`): Optional drug, biologic, molecule, or device name (e.g. 'semaglutide', 'pembrolizumab'). ## `sponsor` (type: `string`): Optional lead sponsor name (e.g. 'Eli Lilly', 'Novo Nordisk', 'Pfizer'). ## `phase` (type: `string`): Optional ClinicalTrials.gov phase filter: PHASE1, PHASE2, PHASE3, PHASE4. ## `status` (type: `string`): Optional status filter: RECRUITING, ACTIVE_NOT_RECRUITING, COMPLETED, NOT_YET_RECRUITING. ## `nctId` (type: `string`): Exact NCT identifier such as NCT04280705. ## `drugName` (type: `string`): Brand or generic drug name for FDA approval, FAERS adverse event, and recall intelligence (e.g. 'ozempic', 'semaglutide'). ## `query` (type: `string`): Search query for peer-reviewed clinical studies on NCBI PubMed. ## `maxResults` (type: `integer`): Maximum records to return (1-50). ## Actor input object example ```json { "tool": "search_clinical_trials", "condition": "obesity", "maxResults": 10 } ``` # Actor output Schema ## `overview` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("church_of_loujess/pharma-fda-clinical-trials-mcp").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("church_of_loujess/pharma-fda-clinical-trials-mcp").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call church_of_loujess/pharma-fda-clinical-trials-mcp --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,church_of_loujess/pharma-fda-clinical-trials-mcp" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/jdEMNDGb9M1VOclZ9/builds/PdKAKxfAu9iharmMO/openapi.json