MCP (Model Context Protocol) servers let AI agents reach beyond the codebase. They connect your agent to external APIs, databases, search engines, and services through a standardized protocol — so the agent can actually take action, not just write code.
1062 servers
A MCP Server implemented in Node.js/TypeScript, facilitating interactive communication between LLMs and users. Note: This server is designed to run locally alongside the MCP client (e.g., Claude Desktop, VS Code), as it needs direct access to the user's operating system to display notifications and command-line prompts. (Note: This project is in its early stages.) Want a quick overview? Check out
A Model Context Protocol (MCP) server that provides access to the Tatum Blockchain Data API and RPC Gateway, enabling any LLM to read and write blockchain data across 130+ networks. Visit official MCP webpage for more details and to get your Tatum API key. - 130+ Blockchain Networks: Bitcoin, Ethereum, Solana, Polygon, Arbitrum, Base, Avalanche, and many more. - 🔗 Blockchain Data API: Blocks, tra
A Model Context Protocol (MCP) server for the Discord API (JDA), allowing seamless integration of Discord Bot with MCP-compatible applications like Claude Desktop. Enable your AI assistants to seamlessly interact with Discord. Manage channels, send messages, and retrieve server information effortlessly. Enhance your Discord experience with powerful automation capabilities. Manual Installation M
MCP Server for the Notion API, enabling LLM to interact with Notion workspaces. Additionally, it employs Markdown conversion to reduce context size when communicating with LLMs, optimizing token usage and making interactions more efficient. Here is a detailed explanation of the steps mentioned above in the following articles: - English Version: https://dev.to/suekou/operating-notion-via-claude-des
HarmonyOS MCP Server This is a MCP server for manipulating harmonyOS Device. 1. Clone this repo 2. Setup the envirnment. You can use Claude Desktop to try our tool. You can also use openai-agents SDK to try the mcp server. Here's an example You can use LangGraph, a flexible LLM agent framework to design your workflows. Here's an example Write the system prompt in server.py Use l
CRUD operations for knowledge base docs — add, delete, update metadata, embed. Requires GNOSIS_MCP_WRITABLE=true.
A Model Context Protocol (MCP) server that provides access to Swarmia's Export API. This server allows you to fetch various metrics and reports from Swarmia including pull request metrics, DORA metrics, investment balance reports, software capitalization reports, and effort reporting. This MCP server provides access to the following Swarmia Export API endpoints: - Pull Request Metrics - Cycle time
- 🚀 99% fewer API calls for batch operations (150-300 → 1) - ⚡ 88% token reduction with compact response formats - 🎯 Batch Dedupe Mode - Check 50-100 titles in one operation - 🔄 Smart Caching - 70-85% API call reduction - 🛡️ Safety Features - Multi-season confirmation, validation - 📦 4 Powerful Tools - Consolidated from 8 for clarity - 🤖 Automated Security Scanning - Dependabot for dependenc
A local MCP server to communicate local Pharo Smalltalk image. It supports: - Code Evaluation: Execute Smalltalk expressions and return results - Code Introspection: Retrieve source code, comments, and metadata for classes and methods - Search & Discovery: Find classes, traits, methods, references, and implementors - Package Management: Export and import packages in Tonel format - Project Installa
A Model Context Protocol (MCP) server for interacting with Bugsnag. This server allows LLM tools like Cursor and Claude to investigate and resolve issues in Bugsnag. - Organization & Project Navigation: Easily browse your Bugsnag hierarchy - Error & Event Filtering: Find specific issues with powerful filtering options - Detailed Stacktrace Viewing: See formatted stacktraces with source code contex
The firewall for AI agents. Open-source policy enforcement for MCP. Website: policylayer.com Intercept is a deterministic enforcement proxy for the Model Context Protocol (MCP). It sits between an AI agent and an MCP server, evaluating every tools/call request against YAML-defined policies. Violating calls are blocked at the transport layer before reaching the upstream server. MCP gives AI agents
This project implements an independently-developed CipherTrust MCP (Model Context Protocol) server that allows AI Assistants like Claude or Cursor to interact with CipherTrust Manager resources using the ksctl CLI. - Important Notice - Prerequisites - Installation - Configuration - Integration with AI Assistants - Environment Variables - Troubleshooting - Project Structure - Contributing This is a
searchcraft-mcp-server An MCP Server powered by Searchcraft – the developer-first vertical search engine. The Searchcraft MCP Server provides a suite of tools for managing your Searchcraft cluster's Documents, Indexes, Federations, Access Keys, and Analytics. It enables MCP Clients, like Claude Desktop, to be prompted in plain English to perform administrative actions like setting up search indexe
A Model Context Protocol (MCP) server for bulk Spotify operations - batch playlist creation, library exports, and large-scale library management. What makes this different from other Spotify MCPs? - Confidence scoring - Batch searches return HIGH/MEDIUM/LOW confidence for each match - Human-in-the-loop - Uncertain matches are exported for review, then re-imported - Bulk operations - Handle 500+ so
MifosX Self Service MCP is a Model Context Protocol (MCP) server built using FastMCP (Python). It exposes a set of AI-callable tools that allow MCP-compatible clients (such as Claude Desktop or DeepChat) to securely interact with the Apache Fineract / MifosX Self-Service APIs. This project enables AI-driven banking workflows such as authentication, account access, beneficiary management, and trans
A Model Context Protocol (MCP) server implementation for 4EVERLAND Hosting enabling instant deployment of AI-generated code to decentralized storage networks like Greenfield, IPFS, and Arweave. The 4EVERLAND Hosting MCP Server enables users to leverage AI-driven workflows to deploy code instantly to decentralized storage networks such as Greenfield, IPFS, and Arweave. Upon deployment, it provides
Helps configure mcp-rubber-duck MCP server in AI coding tools. Triggers when users ask about adding rubber duck to Claude Desktop, Cursor, VS Code, Windsurf, Continue, or any MCP-compatible tool.
An MCP server for managing Docker with natural language! - 🚀 Compose containers with natural language - 🔍 Introspect & debug running containers - 📀 Manage persistent data with Docker volumes - Server administrators: connect to remote Docker engines for e.g. managing a public-facing website. - Tinkerers: run containers locally and experiment with open-source apps supporting Docker. - AI enthusia
This package wraps the dAWShund project in two different servers so you can enumerate AWS IAM data, evaluate effective permissions and obtain a high‑level summary without having to remember a handful of separate scripts. The upstream project describes itself as a way to “put a leash on naughty permissions” and provides three main components: sAWSage – enumerates IAM principals and resource policie
基于 MCP 协议的代码执行器，最后是通过 Docker 来进行代码执行的，所以本机上需要有 Docker 的环境. - [x] 支持 MCP 协议 - [x] 支持代码执行，获得代码执行的结果 - [ ] 获取代码执行的时间、内存等信息
The CockroachDB MCP Server is a natural language interface designed for LLMs and agentic applications to manage, monitor, and query data in CockroachDB. It integrates seamlessly with MCP (Model Content Protocol) clients, such as Claude Desktop or Cursor, enabling AI-driven workflows to interact directly with your database. - Cluster Monitoring - Database Operations - Table Management - Query Engin
The Redis MCP Server is a natural language interface designed for agentic applications to efficiently manage and search data in Redis. It integrates seamlessly with MCP (Model Content Protocol) clients, enabling AI-driven workflows to interact with structured and unstructured data in Redis. Using this MCP Server, you can ask questions like: - "Store the entire conversation in a stream" - "Cache th
An MCP server that executes SQL via ConnectorX and streams the result to CSV or Parquet in PyArrow RecordBatch chunks. Output formats: csv or parquet CSV: UTF-8, header row is always written Parquet: PyArrow defaults; schema mismatch across batches raises an error Return value: the string "OK" on success, or "Error: " on failure On failure the partially written output file is deleted CSV token cou
This repository is archived as of August 25, 2025. Going forward, the Azure MCP team is using https://github.com/microsoft/mcp to develop the code and issues formerly in this repository. Please see the following for more context: