MCP Servers

The OpenCTI MCP Server provides a standardized interface for querying and retrieving threat intelligence data from the OpenCTI platform, offering features like searching for malware and managing users and groups.

This repository provides a demo server showcasing how to integrate a Fireproof database with the Model Context Protocol for connecting code and data to AI systems like Claude Desktop, implementing

This repository houses the Model Context Protocol (MCP) server implementation for the EduBase platform, enabling MCP clients and LLMs to interact with EduBase accounts and perform tasks. This repository houses

This repository provides a Model Context Protocol (MCP) server that enables interaction between MCP clients like Anthropic Claude and your local Zotero library, allowing programmatic access for searching, managing, and summarizing papers.

This repository catalogs Model Context Protocol (MCP) servers and clients, facilitating the integration of LLMs with external resources. It aims to simplify AI application development by providing a collection of useful tools.

The mcp-server-python repository provides an Inkeep MCP server that leverages your documentation and product content for retrieval-augmented generation (RAG) using the Model Context Protocol. The mcp-server-python repository provides an Inkeep

This Rust SDK implements the Model Context Protocol, enabling applications to provide context for LLMs in a standardized way, offering both client and server capabilities for LLM integration.

The Descope MCP server provides an interface to interact with Descope's Management APIs, enabling the search and retrieval of project-related information, and user management. It offers tools for audits, users, and invitations.

This repository provides an MCP server implementation designed to retrieve data from MariaDB databases, exposing schema lists and offering tools like query_database for read-only operations. It also includes instructions for

CereBro is a model-agnostic AI Agent Wrapper for .Net that supports the Model Context Protocol, allowing developers to write tools compatible with various AI models like OpenAI without code changes.

This repository provides a simple example client for connecting to Model Context Protocol (MCP) servers over HTTP using Server-Sent Events, leveraging the official MCP Python SDK for protocol handling and server interaction.

This repository provides an MCP server that allows Claude to manage Okta users and groups, enabling functionalities like retrieving user details and listing users with filtering capabilities. This repository provides

This repository provides an MCP server that allows AI assistants to access and query college football statistics from the College Football Data API, enabling comprehensive data analysis and insights.

This repository provides an MCP server that executes Python code to query and manage AWS resources using boto3. It offers a Docker-based, Python-centric alternative to existing solutions, prioritizing stability, ease

This repository provides a Model Context Protocol (MCP) server for accessing Lightdash data. It enables AI assistants to interact with Lightdash through a standardized interface, offering tools to manage projects,