What can I do with EnrichB2B's LinkedIn data integration?

You can fetch LinkedIn profile details and activities, including recent posts, comments, and likes, using the provided tools and APIs.

What are the server requirements?

The template server for EnrichB2B utilizes FastAPI and Uvicorn, and it requires Python with the necessary dependencies, outlined in the `requirements.txt` file and a configured `.env` file with the API keys.

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EnrichB2B MCP Server

Facilitates interaction with OpenAI, Anthropic, and EnrichB2B services using the Model Context Protocol.

Local serverstdioPython★ 1

What is the EnrichB2B MCP Server?

Facilitates interaction with OpenAI, Anthropic, and EnrichB2B services using the Model Context Protocol.

What it actually does

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

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

Tool	What it does
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

Example prompts to try

“Use EnrichB2B to config.”
“Use EnrichB2B to get profile details.”
“Use EnrichB2B to get contact activities.”

Frequently asked questions

EnrichB2B is a tool that facilitates interaction with OpenAI, Anthropic, and EnrichB2B services using the Model Context Protocol (MCP). It simplifies API integration and provides tools for data retrieval and text generation.

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