Discover Awesome MCP Servers

Academiadepolitie.com MCP Server

Provides AI tutoring capabilities for Romanian police academy entrance exam preparation, enabling students to access educational content, track learning progress, and collaborate with peers. Connects to the Academiadepolitie.com platform serving over 50,000 students with comprehensive study materials for law enforcement subjects.

Infomate MCP

Fetches and provides curated tech news, trending topics, hot GitHub projects, and industry updates from infomate.club/vas3k. Enables users to stay updated with the latest developments in technology and programming through natural language queries.

MCP Server Template (

这个模板可以帮助你基于推荐实践快速启动一个新的模型上下文协议（MCP）服务器项目。

OPNsense MCP Server

A modular MCP server that provides access to over 2,000 OPNsense firewall management methods through 88 specialized tools. It enables AI assistants to securely manage firewall rules, network interfaces, and system diagnostics using a type-safe TypeScript interface.

Chinese Resume Generator

Enables users to generate professional Chinese resume PDFs from JSON data with built-in font support and customizable section ordering. It automatically handles layout, generates clickable links, and uploads the final document to a public URL for easy sharing.

Azure Database for PostgreSQL MCP Server (Preview)

Azure Database for PostgreSQL 托管控制平面服务器 (Azure Database for PostgreSQL Tuōguǎn Kòngzhì Píngmiàn Fúwùqì)

Word Document Reader MCP Server

Enables reading and analyzing Word documents with advanced features including table extraction, OCR image analysis, full-text search, and intelligent caching for optimized performance on large documents.

MCP Memory Server

Provides persistent memory functionality for AI conversations by creating, managing and querying entities and relationships in a knowledge graph. Features SQLite storage, advanced search capabilities, and Windows auto-start integration for long-term AI memory retention.

ToolRoute

Intelligent routing layer for AI agents — recommends the best MCP server and LLM for any task, scored on 132+ real benchmark executions.

国金QMT-MCP

A modular quantitative trading assistant that integrates with XTQuant/QMT trading platform, enabling AI-assisted trading strategy generation, real-time trade execution, and performance backtesting.

Axion Planetary MCP

Enables MCP clients to access Google Earth Engine's satellite imagery and geospatial analysis capabilities. Provides tools for vegetation analysis, crop classification, disaster monitoring, and interactive map creation using petabytes of satellite data.

Claude Code MCP Enhanced

An enhanced Model Context Protocol (MCP) server that allows running Claude Code in one-shot mode with permissions bypassed automatically, featuring advanced task

Remote MCP Server on Cloudflare

A server that enables Model Context Protocol (MCP) functionality on Cloudflare Workers with OAuth login, allowing applications like Claude Desktop to access custom tools through a standardized interface.

SAP Hybris C4C MCP Server by CData

This read-only MCP Server allows you to connect to SAP Hybris C4C data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at https://www.cdata.com/solutions/mcp

MyContext MCP Server

Enables personal project documentation management through local markdown files stored in nested directories. Supports organizing context by project and layer (backend/frontend/fullstack) with search functionality across all documentation files.

ACP Commerce MCP Server

Enables AI agents to perform e-commerce operations through a standardized interface implementing the x402 and Agentic Commerce Protocol (ACP). Supports merchant sessions, product search, and payment orchestration with production-ready security features.

attAck-mcp-server

这个项目是一个 MCP (模型上下文协议) 服务器，用于查询 ATT&CK (对抗性战术、技术和常识) 技术和战术。 它提供了一种访问和检索关于攻击者使用的各种攻击技术和战术信息的方法。

Multi Agent Orchestrator MCP

Coordinates specialized agents (Architecture, Quality, Cloud, Prompt) to plan, build, test, and deploy applications with self-healing capabilities, authentication, and analytics for autonomous software engineering workflows.

gcal-mcp

An MCP server for managing Google Calendar and Tasks with energy-aware scheduling and priority-based task management. It enables natural language interactions for creating flight or lodging events, managing reading queues, and optimizing daily schedules.

mcp-playwright-scraper

An MCP server that scrapes content from web pages, including JavaScript-heavy sites, and converts it into high-quality Markdown. It leverages Playwright for headless browser automation and Pypandoc for clean content conversion.

mcp-api-tester Tools & Interfaces

For testing LLM APIs, an "MCP server" isn't a standard term. It's likely you're looking for a way to **mock**, **simulate**, or **proxy** an LLM API endpoint. Here are a few ways to approach this, along with their Chinese translations: **1. Mock Server (模拟服务器 - mó nǐ fú wù qì):** * **Concept:** A mock server simulates the behavior of a real LLM API. You define the expected requests and the corresponding responses. This is ideal for testing your application's logic without actually calling the LLM. * **Tools:** * **Mockoon:** A popular and easy-to-use mock server application. * **WireMock:** A more powerful and flexible tool, often used in Java environments. * **JSON Server:** A simple way to create a REST API from a JSON file. * **How it works:** You configure the mock server to listen on a specific port and define routes that match the API endpoints you want to test. When your application makes a request to the mock server, it returns the pre-defined response. **2. Proxy Server (代理服务器 - dài lǐ fú wù qì):** * **Concept:** A proxy server sits between your application and the real LLM API. It can intercept requests and responses, allowing you to: * **Inspect traffic:** See exactly what data is being sent and received. * **Modify requests/responses:** Change the data being sent to the LLM or the data being returned to your application. * **Simulate errors:** Force the API to return error codes to test your application's error handling. * **Rate limiting:** Simulate rate limits to test your application's behavior under load. * **Tools:** * **Charles Proxy:** A popular commercial proxy tool. * **Fiddler:** A free proxy tool from Telerik. * **mitmproxy:** A free and open-source interactive HTTPS proxy. * **How it works:** You configure your application to use the proxy server as its HTTP/HTTPS proxy. The proxy server then intercepts all traffic and allows you to inspect and modify it. **3. Local LLM (本地LLM - běn dì LLM):** * **Concept:** Run a smaller, open-source LLM locally on your machine. This allows you to test your application against a real LLM without relying on an external API. * **Tools:** * **llama.cpp:** A library for running LLaMA models on CPUs. * **Ollama:** A tool for running and managing LLMs locally. * **GPT4All:** A project that provides a GUI and API for running LLMs locally. * **How it works:** You download and install the local LLM and then configure your application to connect to it. This gives you full control over the LLM and allows you to test your application in a completely isolated environment. **4. API Simulation Library (API 模拟库 - API mó nǐ kù):** * **Concept:** Libraries that allow you to create mock API responses directly within your code. * **Examples:** * **Python:** `unittest.mock` (built-in), `responses` * **JavaScript:** `nock`, `jest.fn()` * **How it works:** You use the library to replace the actual API call with a mock function that returns a pre-defined response. This is useful for unit testing individual components of your application. **Which approach is best for you depends on your specific needs:** * **Simple testing with static responses:** Mock server (Mockoon, JSON Server) * **Inspecting and modifying API traffic:** Proxy server (Charles, Fiddler, mitmproxy) * **Testing against a real LLM without external dependencies:** Local LLM (llama.cpp, Ollama, GPT4All) * **Unit testing individual components:** API simulation library (unittest.mock, responses, nock) **Example Scenario (使用 Mockoon 的例子 - shǐ yòng Mockoon de lì zi):** Let's say you want to test your application's interaction with an LLM API that generates text completions. The API endpoint is `https://api.example.com/completions` and it expects a JSON payload like this: ```json { "prompt": "The quick brown fox", "max_tokens": 50 } ``` You can use Mockoon to create a mock server that listens on port 3000 and defines a route for `/completions`. The mock server would return a JSON response like this: ```json { "completion": "The quick brown fox jumps over the lazy dog." } ``` Your application would then be configured to send requests to `http://localhost:3000/completions` instead of `https://api.example.com/completions`. This allows you to test your application's logic without actually calling the real LLM API. **In summary (总结 - zǒng jié):** Instead of a specific "MCP server," you're likely looking for a way to simulate or mock an LLM API. Consider using a mock server, proxy server, local LLM, or API simulation library, depending on your testing requirements. Each approach offers different levels of control and complexity. Choose the one that best suits your needs.

Rovodev MCP Tool

Integrates the Atlassian Rovo Dev CLI with the Model Context Protocol, allowing AI assistants to perform deep code analysis using Rovo Dev's large context capabilities. It enables features like repository-wide queries, file-specific analysis, and specialized coding modes through a standard MCP interface.

MCP Podcast Scraper

An MCP server that scrapes and transcribes podcast episodes from YouTube or RSS feeds using Deepgram's Nova-2 model. It allows users to track podcasts for new episodes, manage transcripts, and generate personalized summaries through Claude.

mcp-youtube

High-efficiency YouTube MCP server: Get token-optimized, structured data for your LLMs using the YouTube Data API v3.

OMNI-Sales

销售 MCP 服务器 (Xiāoshòu MCP fúwùqì)

MCP Google Server

A Model Context Protocol server providing web search capabilities using Google Custom Search API and webpage content extraction functionality.

EdgeOne Geo MCP Server

Enables large language models to retrieve user geolocation data using EdgeOne Pages Functions. It provides a dedicated tool to fetch location information in JSON format through the Model Context Protocol.

Letta MCP Server Railway Edition

Enables AI clients to interact with Letta.ai's stateful agents via cloud deployment on Railway. Provides 20+ tools for agent management, conversations, memory operations, and tool configuration through a streamable HTTP transport optimized for production use.