发现优秀的 MCP 服务器

mol-open-data-mcp

Enables querying Taiwan's Ministry of Labor open data, including lists of companies violating labor laws with fuzzy search, and searching/querying ministry datasets.

java-jdtls-mcp-server

A high-performance MCP server that bridges AI agents with Java codebases, providing professional-grade Java language intelligence via Eclipse JDT.LS.

Frame.io MCP

Connects Claude to Frame.io to pull transcripts, post frame-accurate comments, list comments, and upload attachments.

SchemaCrawler AI MCP Server

Enables AI agents to interactively interrogate database schema metadata using SchemaCrawler.

mundane-mcp

Exposes the Mundane agent-to-human marketplace as MCP tools, enabling agents to post tasks, search workers, and make offers.

Deep Research MCP Server

通过整合人工智能代理、搜索引擎、网络爬虫和大型语言模型，实现迭代式的深度研究，从而高效地收集数据并生成全面的报告。

sesha-skills

A stdio MCP server providing everyday tools and Markdown skills for the Sesha agent, enabling notes, web research, coding, docs, scheduling, and safety/governance.

Anaplan MCP

An MCP server that connects AI assistants to Anaplan's Integration API v2, enabling users to browse workspaces, manage model data, and execute bulk operations like imports and exports. It provides 25 structured tools to navigate model hierarchies and perform transactional tasks through natural language.

PodMaster

Local podcast transcription, embedding, and semantic search with an MCP server for AI assistant integration. All processing runs on your machine.

XcodeBazelMCP

A comprehensive MCP server and CLI for Bazel-based Apple platform development, providing 112 tools across 19 workflow categories for building, testing, debugging, and managing iOS, macOS, tvOS, watchOS, visionOS, and Swift Package Manager projects.

MCP Voice Notification

Provides voice notifications using Grok's text-to-speech API to alert users when Claude Code completes tasks, with support for both local and remote server configurations.

Scanpy-MCP

Provides a natural language interface for scRNA-Seq analysis using the Scanpy library, supporting operations such as data preprocessing, clustering, and visualization. It enables AI agents and clients to perform complex single-cell transcriptomics workflows through the Model Context Protocol.

Bitbucket MCP

A Model Context Protocol server that enables AI assistants to interact with Bitbucket repositories, pull requests, and other resources through Bitbucket Cloud and Server APIs.

Junction41 MCP Server

MCP server for the Junction41 platform, providing 125 tools for agent lifecycle, jobs, workspace, payments, bounties, and more, enabling LLMs to interact with Junction41.

Marsa Atlas

MCP server providing source-grounded migration services and evidence for Egypt, with tools for search, service discovery, eligibility checks, and research briefs.

cwtwb

ai generate tableau file

remote-mcp-server-authless

Deploy a stateless remote MCP server on Cloudflare Workers without authentication, enabling tool calls from MCP clients like Claude Desktop.

mdapi-mcp

MCP server for converting HTML to Markdown and extracting page data, with pay-per-call using USDC on Base.

fleet-mcp

A unified MCP server for managing hosting fleets, enabling natural language control over SSH, WordPress, Cloudflare, MySQL, GitHub, Docker, Coolify, and more.

utol-mcp

Enables users to interact with the University of Tokyo's UTOL learning management system through natural language, providing access to courses, assignments, deadlines, notifications, and materials via MCP clients like Claude Desktop.

mcp-talib

一个提供 ta-lib-python 功能的 Model Context Protocol (MCP) 服务器。 Or, more literally: 提供 ta-lib-python 功能的 Model Context Protocol (MCP) 服务器。 (Tígōng ta-lib-python gōngnéng de Model Context Protocol (MCP) fúwùqì.)

MCP-llms-txt

Okay, I understand. You want me to: 1. Create an MCP (presumably referring to a Minecraft Protocol) server. 2. This server should be related to the project "SecretiveShell/Awesome-llms-txt". 3. I should add documentation directly into our conversation, using MCP resources (presumably meaning Minecraft Protocol resources, like packets and data structures). This is a complex request that requires significant coding and understanding of Minecraft's internal workings. I can't *actually* create and host a server for you. That requires a development environment, a Minecraft server instance, and the ability to write and execute code. However, I *can* provide you with a conceptual outline and code snippets to get you started, along with documentation integrated into our conversation. I'll focus on the core aspects of handling a connection and sending/receiving basic data. **Conceptual Outline** 1. **Server Setup:** Use a programming language like Java (the language Minecraft is written in) or Python (with a library like `mcstatus` or `nbt`) to create a server socket that listens for incoming connections on a specific port (e.g., 25565, the default Minecraft port). 2. **Handshake:** The Minecraft client initiates a handshake. You need to parse this handshake packet to determine the protocol version and the intended server state (status or login). 3. **Status/Login:** * **Status:** If the client requests status, you send back a JSON response containing server information (MOTD, player count, etc.). * **Login:** If the client requests login, you handle authentication (if required) and then transition the client to the play state. 4. **Play State:** This is where the core game logic happens. You receive packets from the client (e.g., movement, chat messages) and send packets back to the client (e.g., world updates, entity positions). **Simplified Code Snippet (Python using `socket` - for demonstration only, not a full MCP implementation):** ```python import socket import json HOST = '127.0.0.1' # Standard loopback interface address (localhost) PORT = 25565 # Minecraft default port with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: s.bind((HOST, PORT)) s.listen() print(f"Server listening on {HOST}:{PORT}") conn, addr = s.accept() with conn: print(f"Connected by {addr}") while True: data = conn.recv(1024) # Receive up to 1024 bytes if not data: break print(f"Received: {data}") # **VERY SIMPLIFIED HANDSHAKE EXAMPLE (DOES NOT PARSE PROPERLY)** if b'\x00\x04' in data: # Crude check for a handshake-like packet print("Possible Handshake detected") # **IN REALITY, YOU NEED TO PARSE THE VARINTS AND DATA PROPERLY** # Example Status Response (Simplified) status_response = { "version": {"name": "My Awesome Server", "protocol": 757}, "players": {"max": 100, "online": 10, "sample": []}, "description": {"text": "A server for Awesome-llms-txt!"} } json_response = json.dumps(status_response) # **IMPORTANT: Minecraft requires a VarInt length prefix before the JSON** # **This is a placeholder - you need to implement VarInt encoding** length_prefix = len(json_response).to_bytes(1, 'big') # Incorrect VarInt encoding conn.sendall(length_prefix + json_response.encode('utf-8')) else: conn.sendall(b"Received your data!") # Echo back (for testing) ``` **Explanation and MCP Documentation Integration** * **`socket.socket(socket.AF_INET, socket.SOCK_STREAM)`:** Creates a TCP socket. TCP is the protocol Minecraft uses. This corresponds to the underlying network layer. * **`s.bind((HOST, PORT))`:** Binds the socket to a specific IP address and port. * **`s.listen()`:** Starts listening for incoming connections. * **`conn, addr = s.accept()`:** Accepts a connection. `conn` is a new socket object for communicating with the client, and `addr` is the client's address. * **`conn.recv(1024)`:** Receives data from the client. The `1024` is the maximum number of bytes to receive at once. * **Handshake (MCP Relevant):** The handshake is the first packet sent by the client. It contains: * **Packet ID (VarInt):** `0x00` for handshake. * **Protocol Version (VarInt):** The Minecraft protocol version the client is using. This is *crucial* for compatibility. 757 is for 1.17.1. You *must* handle different protocol versions. * **Server Address (String):** The address the client connected to. * **Server Port (Unsigned Short):** The port the client connected to. * **Next State (VarInt):** `1` for status, `2` for login. **VarInt Encoding:** A VarInt is a variable-length integer. It uses one or more bytes to represent an integer. Each byte (except the last) has its most significant bit set to 1. The lower 7 bits of each byte are used to store the integer's value. This is a *critical* part of the Minecraft protocol. The example code *incorrectly* uses `len(json_response).to_bytes(1, 'big')` which is *not* a VarInt. You need a proper VarInt encoding function. ```python def encode_varint(number): buf = [] while True: byte = number & 0x7F # Get the lowest 7 bits number >>= 7 if number: byte |= 0x80 # Set the MSB to indicate more bytes buf.append(byte) if not number: break return bytes(buf) ``` * **Status Response (MCP Relevant):** The status response is a JSON string that contains server information. The JSON is *prefixed* with a VarInt indicating the length of the JSON string. The structure of the JSON is defined by the Minecraft protocol. The example code provides a simplified version. **Next Steps and Considerations** 1. **VarInt Implementation:** Implement proper VarInt encoding and decoding. This is essential for handling all packets. 2. **Packet Parsing:** Implement proper packet parsing based on the protocol version. Use a library or write your own code to read VarInts, strings, and other data types from the byte stream. 3. **Protocol Version Handling:** Support multiple Minecraft protocol versions. This is a *major* undertaking, as the protocol changes frequently. You'll need to maintain a mapping of protocol versions to packet structures. 4. **Authentication:** Implement authentication if you want to require players to log in with a Minecraft account. This involves interacting with Mojang's authentication servers. 5. **Game Logic:** Implement the core game logic for your server. This will involve handling player movement, world updates, and other game events. 6. **NBT Data:** Minecraft uses Named Binary Tag (NBT) format for storing world data, player data, and other complex data structures. You'll need a library to read and write NBT data. 7. **Asynchronous Handling:** Use asynchronous programming (e.g., `asyncio` in Python) to handle multiple clients concurrently. This is a very high-level overview. Building a Minecraft server from scratch is a significant project. Start with the basics (handshake and status) and gradually add more features. Good luck! Let me know if you have more specific questions. I can provide more detailed code snippets and explanations for specific parts of the protocol.

sendook-mcp

MCP server for Sendook - an AI email communication platform. Enables AI agents to send and receive emails, manage inboxes, threads, and webhooks programmatically.

ModelRouter MCP

Advisory MCP server for intelligent LLM model recommendations in Cursor. Provides tools for task analysis, repository analysis, and model selection guidance.

Git Commit Message Generator MCP Server

An intelligent MCP server that automatically generates Conventional Commits style commit messages by analyzing git diffs using LLM providers like DeepSeek and Groq. It enables developers to maintain standardized version history through natural language interactions in supported MCP clients.

Neo4j MCP Server

一个通过模型上下文协议管理 Neo4j 图数据库操作的实现，使用户能够通过像 Cursor 和 Claude Desktop 这样的 AI 助手，针对他们的 Neo4j 数据库执行 Cypher 查询。 (Alternatively, a slightly more literal translation:) 一个用于通过模型上下文协议管理 Neo4j 图数据库操作的实现方案，它使得用户能够通过诸如 Cursor 和 Claude Desktop 等 AI 助手，来执行针对其 Neo4j 数据库的 Cypher 查询。

MCP-BOS

一个模块化、可扩展的模型上下文协议服务器框架，专为 Claude Desktop 设计，它采用基于约定的自动模块发现机制，以便在不修改核心代码的情况下轻松扩展 AI 应用程序的功能。

My Calculator MCP Server

Enables basic calculator operations such as add, subtract, multiply, and divide through an MCP interface.

zuul-mcp

MCP server for Zuul CI/CD with 25 tools for builds, pipelines, queue management (enqueue/dequeue/promote), infrastructure visibility, and autohold management. Supports stdio, HTTP, and SSE transports.

forge-mcp

Provides AI-powered tools for agency owners, freelancers, and consultants, including content generation, market research, proposal building, and more, integrated into Claude Desktop and other AI IDEs.