Discover Awesome MCP Servers
Extend your agent with 83,442 capabilities via MCP servers.
- All83,442
- Developer Tools3,867
- Search1,714
- Research & Data1,557
- AI Integration Systems229
- Cloud Platforms219
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- Database Interaction177
- Remote Shell Execution165
- Browser Automation147
- Databases145
- Communication137
- AI Content Generation127
- OS Automation120
- Programming Docs Access109
- Content Fetching108
- Note Taking97
- File Systems96
- Version Control93
- Finance91
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- Security71
- Image & Video Processing69
- Digital Note Management66
- AI Memory Systems62
- Advanced AI Reasoning59
- Git Management Tools58
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- Entertainment & Media43
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- Location Services35
- Web Automation & Stealth32
- Media Content Processing32
- Calendar Management26
- Ecommerce & Retail18
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- Customer Data Platforms16
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- Health & Wellness10
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- Google Cloud Integrations7
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- Legal & Compliance2
Spotify MCP Server
A Model Context Protocol (MCP) server that provides Spotify integration, allowing AI assistants and applications to interact with Spotify's music streaming service.
Startup Jobs MCP Server
Search live startup.jobs listings with filters for role, location, and employment type, plus get job details, company profiles, hiring trends, and salary benchmarks.
seoul-uncomfort-report-mcp
MCP server for querying Seoul city's uncomfortable report statistics by sector, district, and year/month.
catalogue-api
Provides a read-only API over a book catalogue, offering tools to search books, retrieve book details and series, and inspect provenance and source agreement data.
lark-tools-mcp
lark-tools-mcp は、Lark と cursor を接続します。 これにより、cursor はドキュメントの読み取り、メッセージの送信、タスクの処理、およびデータ分析を実行する機能を得ます。
Call DK MCP
MCP server providing an interactive GUI for users to input prompts and images, with integrated Google Gemini prompt optimization for AI-assisted development.
cli-executor-mcp
Enables LLMs to execute CLI commands and scripts for system deployment and management tasks, with support for directory listing, system info, and deployment templates.
weixin-mcp
Enables AI assistants to send and receive WeChat messages through the official ClawBot API, supporting text, images, files, and videos.
insight-mcp
Enables hybrid document search (BM25 and dense) over a configurable corpus via MCP tools, returning passages and sources for AI agents to cite in answers.
linkedin-engine
Enables running the entire LinkedIn sales motion inside Claude Code, including content creation, audience warming, outreach, and booking calls.
local-llm-mcp
An MCP server that provides local, private, synchronous access to Ollama models for prompt answering, text classification, and model listing, without any file access or command execution.
Claude Code Toolkit
Maintenance, recovery, and observability for Claude Code. CLI + MCP server + dashboard.
mcp-api-server
FastAPI-based MCP server integrating YOLOv8 object detection and embedding services, enabling AI agents to analyze images via the Model Context Protocol.
Google Drive MCP Server
An actively maintained fork of the official Google Drive MCP server that enables users to search, download, and read files via the Google Drive API. It features improved OAuth token management and automatically converts Google Workspace documents into formats like Markdown and CSV for easier LLM consumption.
Translations MCP Server
Enables automatic discovery and fast searching of translation files in projects, supporting partial/exact key-value matching with file watching and multiple translation file formats.
Structurizr DSL Debugger for Cursor
Okay, I understand. Here's a translation of your request into Japanese, along with some considerations for clarity: **Translation:** 「ブラウザ上でレンダリングされた Structurizer DSL に接続する MCP サーバーを構築し、解析に関するエラーメッセージを Cursor IDE に返す。」 **Breakdown and Explanation:** * **「ブラウザ上でレンダリングされた Structurizer DSL に接続する」**: This part translates directly to "Connect to Structurizer DSL rendered in the browser." It's clear and concise. * **「MCP サーバーを構築し」**: This translates to "Build an MCP server." Assuming "MCP" refers to a specific type of server or protocol, this should be understood. If "MCP" needs further clarification, please provide more context. * **「解析に関するエラーメッセージを」**: This translates to "Error messages regarding parsing." * **「Cursor IDE に返す」**: This translates to "Return to Cursor IDE." **Alternative phrasing (slightly more natural):** 「ブラウザで表示される Structurizer DSL を処理するために MCP サーバーを構築し、解析エラーが発生した場合は、そのエラーメッセージを Cursor IDE に送信する。」 **Breakdown of the alternative:** * **「ブラウザで表示される Structurizer DSL を処理するために」**: "In order to process the Structurizer DSL displayed in the browser." This is a slightly more descriptive way of saying "connect to." * **「MCP サーバーを構築し」**: Same as before. * **「解析エラーが発生した場合は」**: "If a parsing error occurs." * **「そのエラーメッセージを Cursor IDE に送信する」**: "Send that error message to Cursor IDE." "送信する" (soushin suru) is a more active verb than "返す" (kaesu), implying a deliberate sending of the message. **Important Considerations and Questions for Clarification:** * **What is "MCP"?** Is it a specific protocol, library, or type of server? Knowing this will allow for a more accurate translation. For example, if it's a specific protocol, we might translate it as "MCPプロトコルサーバー" (MCP protocol server). * **How should the error messages be returned to Cursor IDE?** Is there a specific API or format that Cursor IDE expects? Knowing this will help determine the best Japanese phrasing. For example, if it's via a specific API call, we might use the verb "送信する" (soushin suru - to transmit) or "通知する" (tsuuchi suru - to notify). * **What kind of parsing errors are you expecting?** Knowing the types of errors will help choose the most appropriate vocabulary. Providing more context about "MCP" and the error reporting mechanism will allow me to refine the translation further.
molmcp
A graph-based codebase capability discovery engine for LLM agents, exposing indexed code symbols, signatures, and relationships over MCP to enable agents to find and use tools without guessing names.
xmit-mcp
Remote MCP server for the Transmit email platform, enabling email sending, contact management, template and campaign operations via natural language.
@agent-dispatch/mcp-server
Enables AI assistants to spawn and manage long-running cloud agents via MCP, offloading tasks to AWS Bedrock AgentCore.
Oxenstierna
Provides access to the Swedish National Archives (Riksarkivet) through multiple APIs, enabling users to search, explore, and download digitized historical records and images.
TeamDesk MCP Server
MCP server for TeamDesk databases, enabling CRUD operations, search, and document generation via natural language.
mcp-context-guard
Compresses tool outputs, manages token budgets, deduplicates content, and filters by relevance to optimize context window usage for AI agents.
stencil-mcp
Provides AI coding agents with version-aware StencilJS API references, decorator signatures, lifecycle hooks, and best practices to help them write idiomatic Stencil code.
notebooklm-mcp
An MCP server that enables Claude to interact with Google NotebookLM via browser automation, allowing management of notebooks, adding sources, and querying information.
Okta MCP Server
Enables AI assistants to manage Okta users, groups, applications, policies, and logs through natural language commands.
Back-Agent MCP Server
Executes development tasks by bridging Claude Desktop with Claude Code CLI, enabling automated code generation and task completion in specified working directories.
Amazon VPC Lattice MCP Server
A Model Context Protocol server that provides tools for accessing and managing AWS VPC Lattice information, allowing users to list sources and retrieve sample prompts related to AWS networking documentation.
Snowfort Circuit MCP
A comprehensive Model Context Protocol (MCP) server suite that enables AI coding agents to automate both web browsers and Electron desktop applications with auto-snapshots and element references.
runsec
AI-powered MCP Server for Secure Coding. Zero noise, instant proof.
MCP N8N Webhook Server
A Model Context Protocol server that allows AI assistants to save structured information to n8n via webhooks for storage, indexing, and retrieval.