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Tracxn MCP Server

Tracxn MCP Server

by pHequals7
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TypeScript
Remote

Tracxn MCP Server

A Model Context Protocol (MCP) server that wraps the Tracxn REST API, providing a standardized interface for LLMs to interact with Tracxn data.

Prerequisites

  • Node.js 20 or higher

  • Tracxn API key

Related MCP server: Beyond MCP Server

Setup

  1. Clone the repository:

    git clone <repository-url>
cd tracxn-mcp

  2. Install dependencies:

    npm install

  3. Create a .env file:

    cp .env.example .env

  4. Add your Tracxn API key to the .env file:

    TRACXN_API_KEY=your_api_key_here

Running the Server

Development mode:

npm run dev

Production mode:

npm run build
npm start

The server will start on port 3000 by default. You can change this by setting the PORT environment variable.

Available Tools

  • get_company: Fetch detailed information about a company

  • More tools will be added based on Tracxn API endpoints

Resources

  • tracxn_raw: Access raw JSON data from any Tracxn API endpoint (read-only)

Error Handling

The server includes:

  • Rate limiting with exponential backoff and jitter

  • Error classification for common HTTP status codes

  • Proper error propagation to clients

License

MIT

Available Tools

1 tool
get_companyB

Fetch detailed information about a company from Tracxn

Inputs: companyId (required). Returns: id, name, description

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.2/5.0

    Scored across 1 tool

    Disambiguation5/5

    With only one tool, there is no possibility of ambiguity or overlap between tools, as there are no other tools to compare it to. The tool's purpose is clearly defined and distinct by default.

    Naming Consistency5/5

    The single tool follows a consistent verb_noun pattern (get_company), which is straightforward and predictable. Since there are no other tools, there is no inconsistency to evaluate.

    Tool Count2/5

    A single tool is too few for a server named 'Tracxn MCP Server', which implies a broader scope related to company data. This minimal set feels thin and inadequate for typical agent workflows, limiting functionality to just fetching company details without supporting operations like search, update, or listing.

    Completeness1/5

    The tool surface is severely incomplete for a company data domain; it only provides a get operation for companies, with no support for searching, listing, creating, updating, or deleting data. This leaves significant gaps that will cause agent failures in handling common tasks.

    Resources

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