Browse and discover Model Context Protocol compatible servers
MCP server chart: Generates visual charts (25+) using @antvis. Model context visualization.
MCP Gateway & Registry: Manages LLM tool/prompt access via MCP. Converts APIs, composes servers, & bridges protocols (REST, stdio, SSE).
This repository provides an MCP server that interacts with Obsidian using the Local REST API plugin, offering tools to list files, get content, search, patch, and append content within your Obsidian vault.
HttpRunner 是一款开源的 API/UI 测试框架，简单易用，功能强大，具有丰富的插件化机制和高度的可扩展能力。
This repository provides a curated list of Model Context Protocol (MCP) servers, offering reference implementations for various services like file systems, Git repositories, databases, Slack, Sentry, and more.
This repository provides an Excel MCP server enabling workbook creation, data manipulation, and advanced Excel features like charts and pivot tables without requiring Microsoft Excel installation. It uses OpenPyXL and MCP SDK.
This repository provides an MCP server for Cloudflare's API, enabling natural language interaction with Cloudflare services like Workers, KV, and D1 through tools like Claude Desktop. It allows users to
🔍 一个功能强大的 Telegram 聊天记录搜索工具，支持向量搜索和语义匹配。A powerful Telegram chat search tool with vector search and semantic matching capabilities.
**Concise Description:** Deploy agents, models, RAG & pipelines easily. MCP server simplifies AI deployment. No YAML/MLOps needed.
Define, Prompt and Test MCP enabled Agents and Workflows
The official Rust SDK for the Model Context Protocol
Enhanced MCP server for interactive user feedback and command execution in AI-assisted development, featuring dual interface support (Web UI and Desktop Application) with intelligent environment detec
This repository implements an MCP server for Apify Actors, enabling AI assistants to use them as tools for tasks like data extraction and web scraping via HTTP or standard input/output.
Basic Memory enables persistent knowledge building through natural language conversations with LLMs, storing information as local Markdown files. It utilizes the Model Context Protocol for LLM interaction with the knowledge base.
The MCP Java SDK provides tools for Java applications to interact with AI models using the Model Context Protocol, offering standardized communication and Spring Boot integration for client and server applications.