# Government Contracts MCP — Federal Awards for AI Agents (`nexgendata/government-contracts-procurement-mcp-server`) Actor MCP server: US federal spending intelligence for AI agents (USAspending.gov) — search contract & grant awards by keyword, rank top recipients by dollars, spending by agency, recipient profiles. For govcon & market research. - **URL**: https://apify.com/nexgendata/government-contracts-procurement-mcp-server.md - **Developed by:** [NexGenData](https://apify.com/nexgendata) (community) - **Categories:** MCP servers, AI, Business - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $40.00 / 1,000 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. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. Actors are written with capital "A". ## 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. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## 🏛️ Government Contracts & Procurement MCP Server **Put the entire U.S. federal spending firehose in your AI agent's hands.** Search contracts and grants by keyword, rank the top recipients in any market, see which agencies fund a topic, and profile any federal contractor — live from USAspending.gov, through the Model Context Protocol. > Built by **NexGenData**. Connect once and your agent can do GovCon market research, competitor intelligence, and lead generation on demand. --- ### ⚡ What you get | Tool | What it does | Data source | |---|---|---| | `search_federal_awards` | Search contracts or grants by keyword | USAspending.gov | | `top_recipients` | Rank contractors/grantees by award dollars | USAspending.gov | | `spending_by_agency` | See which agencies fund a market | USAspending.gov | | `recipient_profile` | Look up a specific contractor's awards | USAspending.gov | Results include award IDs, recipient names + UEIs, dollar amounts, awarding agencies, and dates — the official federal record. --- ### 🎯 Use cases - **GovCon market sizing** — quantify federal spend on a topic and who wins it. - **Competitive intelligence** — pull a rival contractor's recent awards and totals. - **Lead generation** — find the top-funded recipients in a niche to target as partners or customers. - **Capture planning** — identify which agencies and sub-agencies buy what you sell. - **Due diligence** — verify a vendor's federal track record before partnering. --- ### 🚀 How to connect ```json { "mcpServers": { "gov-contracts": { "url": "https://nexgendata--government-contracts-procurement-mcp-server.apify.actor/mcp", "headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" } } } } ```` Get a free Apify token at [apify.com](https://www.apify.com/?fpr=2ayu9b). *** ### 📊 Sample inputs ```text search_federal_awards(keyword="cybersecurity", award_type="contracts", max_results=15) top_recipients(keyword="artificial intelligence", fiscal_year=2024) spending_by_agency(keyword="renewable energy") recipient_profile(name="Booz Allen") ``` ### 📦 Sample output (search\_federal\_awards) ```json { "keyword": "cybersecurity", "award_type": "contracts", "awards": [ { "Award ID": "W91ZRU25FA002", "Recipient Name": "MICROTECHNOLOGIES LLC", "Award Amount": 30127.4, "Awarding Agency": "Department of Defense", "Start Date": "2025-01-14" } ], "source": "USAspending.gov" } ``` *** ### 🧠 How it works A **standby MCP server** that holds a live session and answers tool calls against the official USAspending.gov v2 REST API. No data-source API key required; results are the public federal spending record, normalized into clean JSON. *** ### 🔗 Related NexGenData Actors - [Government Contracts Search](https://www.apify.com/nexgendata/government-contracts-search?fpr=2ayu9b) - [SAM.gov Federal Contractor Exclusions](https://www.apify.com/nexgendata/sam-gov-federal-contractor-exclusions?fpr=2ayu9b) - [Regulatory Filings MCP](https://www.apify.com/nexgendata/regulatory-filings-mcp?fpr=2ayu9b) - [Sales Intelligence MCP](https://www.apify.com/nexgendata/sales-intelligence-mcp?fpr=2ayu9b) - [Finance & Market Data MCP](https://www.apify.com/nexgendata/finance-mcp-server?fpr=2ayu9b) *** ### 💵 Pricing Pay-per-event: a small fee per successful **tool call** plus a one-time actor-start. No subscription. See the live pricing tab for current rates. Run your automations on [Apify](https://www.apify.com/?fpr=2ayu9b). *** ### ⚖️ Legal USAspending.gov data is U.S. federal government public-record data. Use responsibly. This is not legal, financial, or procurement advice. *** ### ❓ FAQ **Q: Contracts and grants both?** Yes — set `award_type` to `contracts` or `grants`. **Q: Can I filter by fiscal year?** Yes — pass `fiscal_year` (e.g. 2024). **Q: Do I need a USAspending key?** No. Only your Apify token. **Q: How current is the data?** It reflects USAspending.gov's live database at query time. **Q: What's a UEI?** The Unique Entity Identifier that replaced the DUNS number for federal recipients. **Q: How many results per call?** Up to 50; tune with `max_results`. **Q: Works with Claude / Cursor / Windsurf?** Yes — any MCP client over streamable-HTTP. *** ### 🛠️ Troubleshooting - **No results** → broaden the keyword or remove the fiscal-year filter. - **Recipient not found** → try a shorter / canonical company name. - **Upstream error** → USAspending may rate-limit bursts; retry shortly. - **Auth error** → confirm your Apify token in the `Authorization` header. - **Idle disconnect** → the server closes idle sessions to save compute; reconnect. *** ### 🏢 About NexGenData NexGenData builds production MCP servers and data actors for AI agents across finance, legal, regulatory, IP, government, and aviation. See the full catalog on [Apify](https://www.apify.com/nexgendata?fpr=2ayu9b). # Actor input Schema ## Actor input object example ```json {} ``` # 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("nexgendata/government-contracts-procurement-mcp-server").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 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); }); // 📚 Want to learn more 📖? Go to → 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("nexgendata/government-contracts-procurement-mcp-server").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call nexgendata/government-contracts-procurement-mcp-server --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgendata/government-contracts-procurement-mcp-server", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Government Contracts MCP — Federal Awards for AI Agents", "description": "MCP server: US federal spending intelligence for AI agents (USAspending.gov) — search contract & grant awards by keyword, rank top recipients by dollars, spending by agency, recipient profiles. For govcon & market research.", "version": "0.0", "x-build-id": "jbgbaqXFzxePL8LSg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~government-contracts-procurement-mcp-server/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-government-contracts-procurement-mcp-server", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nexgendata~government-contracts-procurement-mcp-server/runs": { "post": { "operationId": "runs-sync-nexgendata-government-contracts-procurement-mcp-server", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nexgendata~government-contracts-procurement-mcp-server/run-sync": { "post": { "operationId": "run-sync-nexgendata-government-contracts-procurement-mcp-server", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": {} }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```