Which integrations are available for this server?

Manages environment configuration for API keys and server settings. Powers the underlying server architecture for the MCP implementation. Supports version control with provided .[git](/mcp/servers/integrations/git)ignore rules for the project. Provides text generation capabilities using [OpenAI](/mcp/servers/integrations/openai)'s GPT-4 model through the gpt4_completion tool.

MCP Template Server

A template server implementing the Model Context Protocol (MCP) with OpenAI, Anthropic, and EnrichB2B integration.

Setup

Create a virtual environment:

python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate

Install dependencies:

pip install -r requirements.txt

Set up environment variables:

cp .env.example .env # Edit .env with your API keys and configuration

Related MCP server: LinkedIn MCP Server

Running the Server

Development mode:

python server.py

Or using MCP CLI:

mcp dev server.py

Features

OpenAI GPT-4 integration
Anthropic Claude integration
EnrichB2B LinkedIn data integration
FastAPI and Uvicorn server
Environment configuration
Example resources and tools
Structured project layout

Project Structure

. ├── .env.example # Template for environment variables ├── .gitignore # Git ignore rules ├── README.md # This file ├── requirements.txt # Python dependencies ├── enrichb2b.py # EnrichB2B API client └── server.py # MCP server implementation

Usage

Start the server
Connect using any MCP client
Use the provided tools and resources:
- config://app - Get server configuration
- get_profile_details - Get LinkedIn profile information
- get_contact_activities - Get LinkedIn user's recent activities and posts
- gpt4_completion - Generate text using GPT-4
- claude_completion - Generate text using Claude
- analysis_prompt - Template for text analysis

EnrichB2B Tools

get_profile_details

Get detailed information about a LinkedIn profile:

result = await get_profile_details( linkedin_url="https://www.linkedin.com/in/username", include_company_details=True, include_followers_count=True )

get_contact_activities

Get recent activities and posts from a LinkedIn profile:

result = await get_contact_activities( linkedin_url="https://www.linkedin.com/in/username", pages=1, # Number of pages (1-50) comments_per_post=1, # Comments per post (0-50) likes_per_post=None # Likes per post (0-50) )