# Personal Email to Company Resolver (`mambalabs/personal-email-to-company-resolver`) Actor

Find the employer behind a Gmail, Outlook, or other free mail signup. One row per address with the person's name, likely employer, employer domain, and a confidence, from the public Gravatar profile, signed GitHub commits, and LinkedIn results. Never contacts the mailbox. Clay ready.

- **URL**: https://apify.com/mambalabs/personal-email-to-company-resolver.md
- **Developed by:** [Mamba Labs](https://apify.com/mambalabs) (community)
- **Categories:** Lead generation, Automation, Developer tools
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $21.25 / 1,000 email resolveds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
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

## Personal Email to Company Resolver

Find the likely employer behind a free mail address. A signup on a Gmail, Outlook, iCloud, or Yahoo address tells you nothing about the company; this actor reads the public signals tied to that address and returns one row with the person's name, the likely employer, its domain where a source names it, and a confidence.

It never sends mail, never probes a mailbox, and never opens LinkedIn. Every signal is public and tied to the exact address.

Rows are flat and snake_case, so they load straight into a spreadsheet, a CRM, or a Clay table.

### ✨ Features

- **Built for product led signups.** Free mail addresses in, employers out. About 140 consumer mail domains are recognized; a company address returns its own domain, free.
- **Signals tied to the address, strongest first.** The public Gravatar profile for the address hash, the GitHub account whose public commits are signed with the address (and its organization's site), and an exact Google search for the address.
- **Confirmed on LinkedIn results.** Every address with a name goes to Mamba Labs Person LinkedIn URL Resolver in one child run. A current match raises the confidence and adds the profile URL; a former match lowers it.
- **A confidence you can filter on.** `resolved` needs 0.75 or more and is the only billed row.
- **Evidence on every row.** `employer_source`, `evidence_urls`, and `sources_checked` say where each answer came from.
- **Batch input.** Up to 300 addresses per run.

### 📥 Input

| Field | Type | Description |
|---|---|---|
| `email` | string | One address |
| `emails` | list | Several addresses, one per line, up to 300 |
| `github_token` | secret | Optional, your own free GitHub token, for batches over about 40 addresses |
| `search_web` | string | `true` (default): one exact Google search when Gravatar and GitHub name no employer |
| `use_linkedin_resolver` | string | `true` (default): one child run of Person LinkedIn URL Resolver for the addresses with a name, billed at that actor's own price. `false` skips it |
| `country` | string | Google country code, default `us` |
| `max_charge_usd` | string | Optional cost cap for the run, passed to the child run too |

Example:

```json
{ "emails": ["sample.signup@gmail.com"] }
```

### 📤 Output

One row per address. Every row carries every field; a field that does not apply is null.

| Field | Example | Notes |
|---|---|---|
| `email`, `email_domain`, `email_type` | `gmail.com`, `free_mail` | `free_mail`, `corporate`, `invalid` |
| `person_name`, `name_source` | `Jane Doe`, `github` | `gravatar`, `github`, `web_result`, `email_local_part` |
| `employer_name`, `employer_domain` | `Acme`, `acme.io` | The domain only when a source names it |
| `job_title` | | The title or headline a source gives |
| `employer_source` | `github` | `gravatar`, `github`, `web_result`, `linkedin_headline`, `email_domain` |
| `employer_confidence` | `0.93` | 0 to 1 |
| `match_status` | `resolved` | `resolved`, `weak`, `name_only`, `corporate_email`, `not_found`, `invalid_email`, `blocked` |
| `linkedin_url`, `linkedin_match_status`, `linkedin_company_match` | | From Gravatar or the LinkedIn step |
| `github_login`, `github_url`, `gravatar_url`, `location` | `janedoe` | |
| `evidence_urls`, `sources_checked` | | Where the answer came from |
| `row_status`, `error_reason` | `ok` | |
| `billable_events_json` | `{"email-resolved":1}` | What the row was billed as; `{}` is free |
| `source`, `checked_at` | | |

No phone number or street address is returned. There is no field for one.

### 📏 Measured results

Measured on 2026-10-21 over 21 free mail addresses taken from public, signed commits in eight popular open source repositories, plus one made up control address, with no GitHub token:

- **10 of 21 resolved** to an employer at 0.75 or more. 9 more returned a name with no employer, and 2 returned nothing.
- **10 of 10 resolved employers match the company the person states on their own public GitHub or Gravatar profile.** The LinkedIn step confirmed 2 of the 10 as current; for one more it showed the employer's acquirer instead, which the row reports.
- **The control address returned `not_found`.**
- **Speed:** about 13 s per address without a GitHub token, set by GitHub's limit of 10 searches a minute; a free token makes it about three times faster.

Coverage depends on the audience. These addresses come from developers who sign public commits; a consumer signup list will resolve far fewer.

### 💵 Pricing

Pay per event. You pay for an address whose employer was `resolved`, plus a small start fee per run.

| Event | Free plan | Bronze | Silver | Gold |
|---|---|---|---|---|
| Email resolved (`email-resolved`), per address with an employer at 0.75 or more | $0.02500 ($25.00 per 1,000) | $0.02375 ($23.75 per 1,000) | $0.02250 ($22.50 per 1,000) | $0.02125 ($21.25 per 1,000) |
| Actor start (`apify-actor-start`), per run | $0.0005 | $0.0005 | $0.0005 | $0.0005 |

- `weak`, `name_only`, `corporate_email`, `not_found`, `invalid_email`, `blocked`, and `error` rows cost nothing.
- **The LinkedIn step is a second actor.** With `use_linkedin_resolver` on (the default), one run of Mamba Labs Person LinkedIn URL Resolver starts from your Apify account for the addresses with a name and an employer. Apify bills it at that actor's own price: $0.03500 per person sent to it, found or not, plus $0.0005 per run, on top of this actor's events. Set `use_linkedin_resolver` to `false` to skip it.
- A run stops at the maximum cost per run you set in Apify, and at `max_charge_usd` if you set it.
- Free Apify plan: 1.50 USD of evaluation a month, which is 60 resolved emails at the free plan price. Any paid Apify plan removes the cap.
- Apart from the LinkedIn step, the events above are all you pay this actor. Mamba Labs pays the platform costs of your run, Apify proxy traffic included.

### 🚀 Usage examples

**Console or API.** `POST https://api.apify.com/v2/acts/mambalabs~personal-email-to-company-resolver/runs` with the input above, then read the default dataset.

**No LinkedIn step.**

```json
{ "emails": ["jane.doe@gmail.com", "sam@outlook.com"], "use_linkedin_resolver": "false" }
```

**Clay.** Call the actor from a Clay column with the email column mapped to `email`. Clay sends every field as a string, which this actor expects. Filter on `match_status` = `resolved`.

**MCP.** The `@mambalabsdev/mcp-personal-email-to-company-resolver` server exposes the tool `resolve_personal_email_employer` to AI agents.

### ⚠️ Error handling

| Situation | What you get |
|---|---|
| No public signal for the address | One free row, `not_found` |
| A name but no employer | One free row, `name_only` |
| An employer below 0.75 | One free row, `weak`, with the employer and its source |
| GitHub's published rate limit is reached | Later addresses skip GitHub; add a free `github_token` |
| The LinkedIn step fails | Rows keep their Gravatar and GitHub answers; `linkedin_match_status` says `not_run` |
| Anything else | One free `error` row with the reason |

### ⚠️ Limitations and responsible use

- Coverage is highest for people who build or write in public: developers with signed commits, people with a Gravatar profile. Many free mail signups leave no public trace and come back `not_found`. See the measured numbers above.
- A GitHub or Gravatar company field is what the person wrote, and can be out of date. The LinkedIn step catches a former employer when the LinkedIn result marks it.
- No mailbox is contacted, no SMTP check is made, and LinkedIn is never opened.
- GitHub's Acceptable Use Policies do not allow its users' information to be used for spam, for unsolicited email, or for selling personal information. You are responsible for using GitHub data within those terms.
- You are the data controller under GDPR, CCPA, and applicable privacy laws for the rows you collect. Use the actor on addresses that reached you directly, such as your own signups. The actor keeps no personal data after the run.

### 🧩 Want other GTM data?

Mamba Labs builds custom actors for B2B go-to-market teams. The public versions of that work live here on the Store.

| Actor | Actor ID |
|---|---|
| [Account Hiring Watch](https://apify.com/mambalabs/account-hiring-watch?fpr=mamba) | `gRAZA5WBi1r6L0gy7` |
| [Agent Accessibility Auditor](https://apify.com/mambalabs/agent-accessibility-auditor?fpr=mamba) | `anxbRv0lKrpQ1pnua` |
| [Agent to Brokerage Resolver](https://apify.com/mambalabs/agent-brokerage-resolver?fpr=mamba) | `ePRRGLxOGyaVHO4dI` |
| [AI Tooling Detector](https://apify.com/mambalabs/ai-tooling-detector?fpr=mamba) | `EwkHhmqiuJgRoVEbE` |
| [B2B Reddit Conversation Monitor](https://apify.com/mambalabs/b2b-reddit-conversation-monitor?fpr=mamba) | `SoDryzzsjmY3SsiyG` |
| [Bluesky Brand Presence Mapper](https://apify.com/mambalabs/bluesky-brand-presence-mapper?fpr=mamba) | `eLpxzP4IuXznlFVND` |
| [Career Change Signal Engine](https://apify.com/mambalabs/career-change-signal-engine?fpr=mamba) | `vX2Yga1a6wGaXaP14` |
| [Company Change Event Feed](https://apify.com/mambalabs/company-change-event-feed?fpr=mamba) | `oX44rS0fkEJ3rXLWe` |
| [Company Contact Details Extractor](https://apify.com/mambalabs/company-contact-details-extractor?fpr=mamba) | `4mMncKaJykiq94grz` |
| [Company Discovery List Builder](https://apify.com/mambalabs/company-discovery-list-builder?fpr=mamba) | `jch0HdaZnpbMqlcGS` |
| [Company Firmographic Enricher](https://apify.com/mambalabs/company-firmographic-enricher?fpr=mamba) | `YlUtLWjfPpqykmB8g` |
| [Company Funding Record](https://apify.com/mambalabs/funding-investor-record?fpr=mamba) | `OFS4Mt1gyYNtGfUbE` |
| [Company Identity Resolver](https://apify.com/mambalabs/company-identity-resolver?fpr=mamba) | `lr8fTRAmZCBZmuwwh` |
| [Company Social Presence Mapper](https://apify.com/mambalabs/company-social-presence-mapper?fpr=mamba) | `4k6CCemkgBDz18m2h` |
| [Contact Classifier](https://apify.com/mambalabs/contact-classifier?fpr=mamba) | `0lGSeYJmniXhGANnO` |
| [Cookie Consent Audit](https://apify.com/mambalabs/cookie-consent-audit?fpr=mamba) | `TrKyOS0KBoGC35nbr` |
| [Domain Deliverability Checker](https://apify.com/mambalabs/domain-deliverability-checker?fpr=mamba) | `0tVgxI7A6o9jMlxmc` |
| [Domain to LinkedIn URL Resolver](https://apify.com/mambalabs/domain-to-linkedin-url-resolver?fpr=mamba) | `3HtnSaqPHOg1Qg5gx` |
| [Ecommerce Platform Profiler](https://apify.com/mambalabs/ecommerce-platform-profiler?fpr=mamba) | `5G2NeYjBbQTjaTn9L` |
| [Event Presence Index](https://apify.com/mambalabs/event-presence-index?fpr=mamba) | `WLhMy8fMDgsxdYxv5` |
| [Expert Witness Directory](https://apify.com/mambalabs/expert-witness-directory?fpr=mamba) | `LIpwlgfE3LaQBaXd4` |
| [Funding and Press Signal Scanner](https://apify.com/mambalabs/funding-press-signal-scanner?fpr=mamba) | `FS13X6dhQVgX3XOM6` |
| [GitHub Organization Signal Scanner](https://apify.com/mambalabs/github-organization-signal-scanner?fpr=mamba) | `ahF8RRpv5mzPao5CN` |
| [Google Ads Transparency Monitor](https://apify.com/mambalabs/google-ads-transparency-monitor?fpr=mamba) | `1eOwxhBVxzvOXAm4s` |
| [Government Contract Award Monitor](https://apify.com/mambalabs/public-award-monitor?fpr=mamba) | `zhEtllASykOcx9hJ8` |
| [GTM Hiring Signal Scraper](https://apify.com/mambalabs/gtm-hiring-signal-scraper?fpr=mamba) | `D7O1SA2EqwHGsGr1P` |
| [GTM Signals Aggregator](https://apify.com/mambalabs/b2b-buying-signals-hiring-tech-stack-intent-for-clay?fpr=mamba) | `xKdRfnfFNkdMpFuNs` |
| [ICP Fit Scorer](https://apify.com/mambalabs/icp-account-lead-scoring-fit-scorer-0-100-for-clay?fpr=mamba) | `W161DT8W4kW55dMFh` |
| [Influencer Change Monitor](https://apify.com/mambalabs/creator-change-monitor?fpr=mamba) | `d2VVgahNL6UmcLkhg` |
| [Influencer Finder](https://apify.com/mambalabs/creator-finder?fpr=mamba) | `tpkedmloIIWtXx6sg` |
| [Influencer Lead List Builder](https://apify.com/mambalabs/creator-lead-list-all-in-one?fpr=mamba) | `KnmByszcv135yM30G` |
| [Influencer Profile Scraper](https://apify.com/mambalabs/creator-profile-reader?fpr=mamba) | `EqEnklDVMIcB1V499` |
| [Influencer Talent Agency Lookup](https://apify.com/mambalabs/talent-agency-lookup?fpr=mamba) | `zCuX4Mgyg6JvXgGzd` |
| [Instagram Facebook Brand Presence Mapper](https://apify.com/mambalabs/meta-brand-presence-mapper?fpr=mamba) | `HXh65I0JBjPsunbY8` |
| [Integration and Marketplace Presence Mapper](https://apify.com/mambalabs/integration-marketplace-presence-mapper?fpr=mamba) | `V0guNuvM85Q61f2gj` |
| [Job Board Keyword Signal Scanner](https://apify.com/mambalabs/job-board-keyword-signal-scanner?fpr=mamba) | `4DvqpvhMR74NLcDDY` |
| [Job Change Tracker](https://apify.com/mambalabs/job-change-tracker?fpr=mamba) | `L8UbEmMJC1XYPSZOb` |
| [Job Posting Monitor](https://apify.com/mambalabs/gtm-job-discovery?fpr=mamba) | `QCfICD9kOPiOdj5iI` |
| [Legal Entity Resolver](https://apify.com/mambalabs/legal-entity-resolver?fpr=mamba) | `KHFyPCDIx7CyqULYm` |
| [Link in Bio Scraper and Newsletter Detector](https://apify.com/mambalabs/link-in-bio-newsletter-checker?fpr=mamba) | `OorucdheTIgu7RFzK` |
| [LinkedIn Company Page Mapper](https://apify.com/mambalabs/linkedin-company-presence-mapper?fpr=mamba) | `zOPm6A9JEhUGcIdFW` |
| [LinkedIn Post Tracker](https://apify.com/mambalabs/linkedin-post-engager-capture?fpr=mamba) | `oiGLNPuaf5BRaz9K5` |
| [Meta Ad Library Monitor](https://apify.com/mambalabs/meta-ad-library-monitor?fpr=mamba) | `J1GWlSXfSGU3u8Wng` |
| [Mobile Phone Waterfall](https://apify.com/mambalabs/mobile-phone-waterfall-orchestrator?fpr=mamba) | `6OOgPktf7RIa5XCOP` |
| [New Hire Finder](https://apify.com/mambalabs/new-hire-finder?fpr=mamba) | `cKuc38p4nYHNF3IW8` |
| [Outbound Stack Detector](https://apify.com/mambalabs/outbound-infrastructure-fingerprint?fpr=mamba) | `v43UJC8r7qW7cBSTG` |
| [Page Finder and Extractor](https://apify.com/mambalabs/page-finder-extractor?fpr=mamba) | `TpurgcOZbVnknlaiC` |
| [People Finder & Email Verifier](https://apify.com/mambalabs/people-finder?fpr=mamba) | `LEgloG7tWgQl4o6TD` |
| [Person Social Footprint Mapper](https://apify.com/mambalabs/person-social-footprint-mapper?fpr=mamba) | `jfQXa2zW9FHCJot9K` |
| [Pinterest Brand Presence Mapper](https://apify.com/mambalabs/pinterest-brand-presence-mapper?fpr=mamba) | `d1HvjZfKhgvWsoEwn` |
| [Prospect Engine](https://apify.com/mambalabs/b2b-prospect-engine?fpr=mamba) | `q9rT6v64nUJdPexOQ` |
| [Publishing Frequency Tracker](https://apify.com/mambalabs/blog-publishing-frequency?fpr=mamba) | `TbLwaUUATdYb6wp4N` |
| [Reddit Brand Presence Mapper](https://apify.com/mambalabs/reddit-brand-presence-mapper?fpr=mamba) | `pKQZmDaT70SEb54bZ` |
| [Reporting Window Finder](https://apify.com/mambalabs/public-company-reporting-window-finder?fpr=mamba) | `uINxR7a1IW8qUTRUX` |
| [Sequencer Lead Push](https://apify.com/mambalabs/clay-to-instantly-smartlead-push?fpr=mamba) | `0Jv27VeWM5tSZQs9x` |
| [Team Page People Extractor](https://apify.com/mambalabs/team-page-people-extractor?fpr=mamba) | `j8a9zX0k4mNbvDbWK` |
| [Tech Stack Signal Detector](https://apify.com/mambalabs/gtm-tech-stack-signal-scraper?fpr=mamba) | `qyd7nNyqFPelQViBx` |
| [TikTok Brand Presence Mapper](https://apify.com/mambalabs/tiktok-brand-presence-mapper?fpr=mamba) | `fco8FvoJcSafbeyd1` |
| [Trustpilot Reputation Enricher](https://apify.com/mambalabs/review-platform-reputation-enricher?fpr=mamba) | `3lIqfCt61j4hqE1xz` |
| [WCAG Accessibility Audit](https://apify.com/mambalabs/wcag-accessibility-audit?fpr=mamba) | `P3jBj3FRghKEhX52z` |
| [Website Traffic Rank Estimator](https://apify.com/mambalabs/website-traffic-rank-estimator?fpr=mamba) | `GnOFUzlNVIoXgeJjH` |
| [Work Email Waterfall](https://apify.com/mambalabs/email-waterfall-orchestrator?fpr=mamba) | `OT6xqTFThC0Rjf7Zj` |
| [Workplace Program Detector](https://apify.com/mambalabs/workplace-program-detector?fpr=mamba) | `Li6pPDhqbdzFz3h7G` |
| [X Brand Presence Mapper](https://apify.com/mambalabs/x-brand-presence-mapper?fpr=mamba) | `oLOgadhHUkNAyDA3w` |
| [YouTube Channel Stats Extractor](https://apify.com/mambalabs/youtube-channel-transcript-extractor?fpr=mamba) | `6hSpD3kd2s2IQ4VSs` |

> Every actor in the suite takes a domain, a company, or a person and returns flat rows, so they stack in the same table without reshaping anything.

> 🛠️ **Need something custom built?** [Talk to Mamba Labs](https://mambabuilt.com/contact).

### 🆘 Support

Found a bug? Open an issue on the **Issues** tab. Response time is typically within 48 hours.

> ℹ️ **Sourcing.** Signals come from the public Gravatar API, the public GitHub API, Google result pages read through the Apify Google SERP proxy, and Mamba Labs Person LinkedIn URL Resolver. You are responsible for how you use the output.

Built by [Mamba Labs](https://apify.com/mambalabs?fpr=mamba).

# Actor input Schema

## `email` (type: `string`):

One email address, for example a signup on a Gmail address.

## `emails` (type: `array`):

Several addresses, one per line. Up to 300 per run. A company address (not a free mail domain) returns its own domain as the employer, free.

## `github_token` (type: `string`):

Optional. A free GitHub personal access token with no scopes raises GitHub's search limit from 10 to 30 a minute. Without it, batches over about 40 addresses may return GitHub as rate limited. Used for this run only and never stored.

## `search_web` (type: `string`):

false (default) or true. When true and Gravatar and GitHub name no employer, one exact Google search for the address is read through the Apify proxy, and a LinkedIn result that prints the address counts as evidence. Off by default: it found no employer for 15 of 15 addresses in the 2026-10-21 measurement.

## `use_linkedin_resolver` (type: `string`):

true (default) or false. For every address with a name and an employer, one run of Mamba Labs Person LinkedIn URL Resolver starts from your Apify account. It confirms the employer and adds the profile URL, and Apify bills it at that actor's own price per person sent to it, found or not. false skips the step and its charge.

## `country` (type: `string`):

Two letter country code for Google results. Default us.

## `max_charge_usd` (type: `string`):

Optional. The run stops before a charge that would pass this amount. It is passed to the LinkedIn step too.

## `source_tag` (type: `string`):

Internal attribution tag. Leave empty.

## Actor input object example

```json
{
  "email": "sample.signup@gmail.com",
  "search_web": "false",
  "use_linkedin_resolver": "true",
  "country": "us"
}
```

# Actor output Schema

## `results` (type: `string`):

No description

## `run_summary` (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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "email": "sample.signup@gmail.com"
};

// Run the Actor and wait for it to finish
const run = await client.actor("mambalabs/personal-email-to-company-resolver").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "email": "sample.signup@gmail.com" }

# Run the Actor and wait for it to finish
run = client.actor("mambalabs/personal-email-to-company-resolver").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 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)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "email": "sample.signup@gmail.com"
}' |
apify call mambalabs/personal-email-to-company-resolver --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,mambalabs/personal-email-to-company-resolver"
        }
    }
}
```

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 <APIFY_API_TOKEN>` 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/AefT5Ye6YNPFQwJBf/builds/Hs8KTjlVfRHUcSRG6/openapi.json