Captain Data MCP API
A middleware API that connects AI assistants like ChatGPT to Captain Data tools for extracting information from LinkedIn company and profile pages.
README
Captain Data MCP API
A middleware API for Captain Data tools, designed to work with ChatGPT and other AI assistants.
Local Development
- Install dependencies:
npm install
- Create a
.envfile with your environment variables:
CAPTAINDATA_API_KEY=your_api_key_here
HARDCODED_LINKEDIN_UID=your_linkedin_uid_here
- Start the development server:
npm run dev
Deployment to Vercel
- Install Vercel CLI:
npm i -g vercel
- Login to Vercel:
vercel login
- Deploy:
vercel
- Set up environment variables in Vercel:
- Go to your project settings in Vercel
- Add the following environment variables:
CAPTAINDATA_API_KEYHARDCODED_LINKEDIN_UID
API Endpoints
GET /: Health check endpointGET /introspect: List all available toolsPOST /tools/:id/run: Execute a specific tool
Using with ChatGPT
To use this API with ChatGPT:
- Deploy to Vercel
- Use the deployed URL in your ChatGPT configuration
- The API will be available at:
https://your-project.vercel.app
Available Tools
linkedin_extract_company: Extract data from LinkedIn company pageslinkedin_extract_people: Extract data from LinkedIn profile pages
Features
- Tool-based architecture for Captain Data API integration
- Dynamic API key support via request headers
- JSON-based tool definitions
- Fastify server with TypeScript
Getting Started
Prerequisites
- Node.js 16+
- npm or yarn
Development
Start the development server:
npm run dev
The server will be available at http://localhost:3000.
API Endpoints
GET /introspect- Get metadata about all available toolsPOST /tools/:id/run- Execute a specific tool
Testing
You can use the provided test.http file to test the API endpoints.
Project Structure
src/
├── clients/ # API clients
├── tools/ # Tool definitions and factory
└── index.ts # Main server file
License
ISC
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.