EnrichB2B MCP Server

Facilitates interaction with OpenAI, Anthropic, and EnrichB2B services using the Model Context Protocol. The enrichb2b mcp server wraps that behind the Model Context Protocol, so an assistant can use it through 6 defined tools rather than through you.

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

Adding it to your client

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.

Its toolset

Everything the assistant can do here goes through one of these:

• 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

Caveats

• It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
• MCP clients confirm each tool call by default. Leave that on until you have watched what the enrichb2b mcp server does with a few real requests.

When to reach for it

This sits in the AI and media services group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. EnrichB2B's toolset — config, get_profile_details, get_contact_activities and 3 more — is a fair guide to whether it matches your workflow. It is maintained by moonlabsai; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.