找到适合你的 MCP Server，快速完成接入

Integration with Timeplus, a database for streaming data, such as Apache Kafka/Pulsar

Open source MCP server specializing in easy, fast, and secure tools for Databases.

A production-ready Python MCP server providing tools for fetching live weather data, querying local SQLite databases, reading files, summarizing webpages, and performing safe mathematical calculations. It enables MCP-compatible LLM clients to execute these tasks autonomously as part of agentic workflows.

A comprehensive MCP server with 36 tools for tracking TV shows and movies, managing watchlists, and syncing ratings with Trakt.tv. It enables users to search extensive databases, check into current viewings, and receive personalized recommendations through natural language commands.

Triggers predefined functions based on specific usecases including data analysis, text processing, mathematical calculations, file operations, and web request simulations through natural language prompts.

Enriches user data by generating and providing social media profile links (Instagram, Facebook, Twitter, LinkedIn) based on user information like name and birth date.

Enables interaction with Vertica databases through SQL queries, schema management, and bulk data operations. Supports connection pooling, SSL/TLS security, and configurable permissions for database operations.

A demonstration MCP server created for learning purposes, allowing Claude AI to interact with local files and a Postgres database while implementing a custom Model Context Protocol.

A self-hosted MCP server that crawls, indexes, and searches documentation from any website locally, including private sites requiring authentication. It provides hybrid search capabilities and local embedding generation to maintain privacy while keeping AI assistant knowledge up to date.

Enables AI assistants to create, read, and manipulate Microsoft Word documents with comprehensive formatting, table creation, content management, and document protection capabilities. Supports advanced operations like merging documents, PDF conversion, and rich text formatting through a standardized interface.

An MCP server that enables text extraction and replacement in Microsoft Word documents by directly automating the Word application on Windows. It supports processing content across headers, footers, tables, and shapes using the pywin32 library.

MCP Server for ZeroEntropy collections, top documents and rerankers

Offline MCP server for reading and writing Minecraft server files, including level data, datapacks, regions, and structures, with safety checks and backups.

Enables converting Markdown text into high-quality 3:4 ratio JPG images using multiple rendering backends. Supports intelligent fallback between imgkit/wkhtmltopdf, markdown-pdf, and PIL rendering engines with customizable styling options.

Enables access to IMDB movie and entertainment data through the Model Context Protocol. Note: The README describes a notes system but the project name suggests IMDB functionality.

Bidirectional Markdown ↔ Word (.docx) converter. Read Word documents directly into Claude as Markdown, or save Claude's output as a properly formatted .docx with heading styles (Title, Heading 1–9), bold, italic, tables, lists, code blocks, and images. No cloud upload — runs entirely on your machine using python.

MCP server for MDMA (Markdown Document with Mounted Applications) — interactive Markdown with forms, approval gates, tables, and more. Exposes the MDMA spec, authoring prompts, package metadata, and live docs to AI assistants so agents can author and integrate MDMA correctly.

Converts Markdown files and raw content into professionally styled PDFs with full support for Mermaid diagrams and syntax highlighting. It offers customizable page formats, margins, and modern typography for high-quality document generation.

Converts Markdown to styled PDFs using VS Code's markdown styling and Python's ReportLab, providing a simple note storage system with custom URI scheme.

An MCP server that enables bidirectional conversion between Markdown and PDF formats, including text extraction from specific pages and metadata retrieval. It supports customizable PDF output sizes and document processing through standard MCP tools.