MCP Servers

CRM PDF Documentation Server

Enables AI assistants to interact with PDF documentation files stored locally. Provides tools to list, read, search, and extract metadata from CRM API documentation PDFs through natural language queries.

README

CRM PDF Documentation Server

A FastMCP 2.0 server that exposes PDF files from the Docs folder as MCP tools.

Features

This server provides 4 tools to interact with your CRM API documentation PDFs:

list_pdfs - List all PDF files in the Docs directory
read_pdf - Read content from a specific PDF file
search_pdfs - Search for text across all PDF files
get_pdf_info - Get metadata and basic information about PDF files

Installation

Install dependencies:
```
pip install -r requirements.txt
```
Run the server:
```
python crm_pdf_server.py
```

Usage

The server follows the FastMCP 2.0 pattern as described in the FastMCP documentation. It uses the simple decorator pattern:

from fastmcp import FastMCP

mcp = FastMCP("CRM PDF Documentation Server")

@mcp.tool
def list_pdfs() -> str:
    """List all PDF files"""
    # Implementation here

Integration

This server can be used with any MCP-compatible client or integrated into AI applications that support the Model Context Protocol. The server exposes your CRM documentation as structured tools that can be called by LLMs to access and search through your API documentation.

Based on FastMCP 2.0

This implementation follows the FastMCP 2.0 framework as described in the official documentation, providing a clean, Pythonic way to build MCP servers with minimal boilerplate.

Recommended Servers

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official

Featured

TypeScript

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official

Featured

Local

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official

Featured

TypeScript

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official

Featured

Python

E2B

Using MCP to run code via e2b.

Official

Featured

Neon Database

MCP server for interacting with Neon Management API and databases

Official

Featured

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official

Featured

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official

Featured