What is Tracxn Mcp

tracxn-mcp is a Model Control Protocol (MCP) server implementation designed for interacting with the Tracxn API, allowing AI models to access Tracxn’s extensive database of companies, investors, transactions, and market intelligence.

Use cases

Use cases for tracxn-mcp include searching for companies based on specific criteria, analyzing funding rounds, exploring investor portfolios, and gaining insights into market trends and sectors.

How to use

To use tracxn-mcp, clone the repository, install the necessary dependencies, set your Tracxn API access token, and run the server using the command ‘python tracxn_server.py’.

Key features

Key features of tracxn-mcp include searching companies by various filters, accessing detailed company profiles, searching funding transactions, and obtaining market intelligence insights.

Where to use

tracxn-mcp can be used in fields such as finance, investment analysis, market research, and business intelligence, where access to comprehensive company and investment data is crucial.

Tracxn MCP Server

A Model Control Protocol (MCP) server implementation for interacting with the Tracxn API. This server enables AI models to access Tracxn’s comprehensive database of companies, investors, transactions, and market intelligence.

🚧 Work in Progress

This project is currently under active development. Some features may be incomplete or subject to change.

Features

Company Information

• Search companies by sector, name, or domain
• Filter by funding amounts, location, founding year
• Detailed company profiles including business models and funding history

Investment Data

• Search funding transactions and rounds
• Filter by date, amount, round type
• Investor details and portfolio information

Market Intelligence

• Practice area insights
• Business model categorization
• Industry feeds and sectors

Requirements

• Python 3.8 or higher
• Tracxn API access token

Installation

1. Clone the repository:

git clone 
cd tracxn-mcp

2. Install dependencies:

pip install -r requirements.txt

3. Set your Tracxn API token:

# On macOS/Linux

export TRACXN_ACCESS_TOKEN = "your-token-here"


# On Windows Command Prompt

set TRACXN_ACCESS_TOKEN = your-token-here


# On Windows PowerShell

$env:TRACXN_ACCESS_TOKEN="your-token-here"

Usage

Run the server:

python tracxn_server.py

Tools Available

1.search_companies: Search companies with various filters

2.company_lookup: Get detailed information about a specific company

3.funded_companies: Find companies within specific funding ranges

4.search_companies_by_name: Search companies by their name

5.search_transactions: Find funding rounds and transactions

6.search_investors: Search for investors and their portfolios

7.search_acquisitions: Find acquisition deals

8.search_practice_areas: Explore practice areas

9.search_feeds: Access industry feeds

10.search_business_models: Find business model categories

11.debug_api_call: Debug API requests

12.diagnose_api_request: Diagnose API request format issues

API Endpoints

The server uses Tracxn’s API v2.2 with both playground and production environments:

• Playground: https://platform.tracxn.com/api/2.2/playground
• Production: https://platform.tracxn.com/api/2.2

Known Issues and Limitations

• Maximum of 20 results per request
• Some sectors may require specific access permissions
• Rate limiting applies to API calls
• Sort fields must be specified in certain formats
• The following errors may occur:
• Sort field errors: Some endpoints require specific sort field formats
• Domain format issues: Company lookup may need domain as a list or string
• Invalid sector access: Some sectors may not be accessible depending on API permissions

Error Handling

The server handles various API response codes:

• 200: Success
• 400: Bad Request
• 401: Authentication Issue
• 403: Unauthorized/Credit Limit Exceeded
• 404: Not Found
• 429: Rate Limit Exceeded
• 500: Internal Server Error

Development

Project Structure

-tracxn_server.py: Main server implementation

-requirements.txt: Python dependencies

-README.md: Project documentation

Debugging

Use the debug_api_call and diagnose_api_request tools to troubleshoot API issues.

Contributing

This is a work in progress, and contributions are welcome. Please ensure you test your changes thoroughly before submitting pull requests.

Support

For API-related issues, contact Tracxn support at [email protected]

Note: This implementation is still under development. Features and functionality may change as we continue to improve the integration with Tracxn’s API.