Browse and discover Model Context Protocol compatible servers
Notion MCP Server: Manages Model Context Protocol for enhanced data integration & communication with Notion.
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This repository contains the official C# SDK for the Model Context Protocol, enabling .NET applications to implement and interact with MCP clients and servers. It facilitates secure integration between LLMs
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.
**AWS MCP servers: Manage & optimize AWS resources across environments. (MCP)**
**Concise Description:** MCP-to-OpenAPI proxy. Securely exposes Model Context Protocol data via OpenAPI.
MCP server chart: Generates visual charts (25+) using @antvis. Model context visualization.
This repository provides learning materials for the Panaversity Certified Agentic & Robotic AI Engineer program, covering AI-201 and AI-202 courses focused on building conversational and autonomous AI agents.
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
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.
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 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.
🔍 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.
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.