Discover Awesome MCP Servers
Extend your agent with 20,281 capabilities via MCP servers.
- All20,281
- Developer Tools3,867
- Search1,714
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- AI Integration Systems229
- Cloud Platforms219
- Data & App Analysis181
- Database Interaction177
- Remote Shell Execution165
- Browser Automation147
- Databases145
- Communication137
- AI Content Generation127
- OS Automation120
- Programming Docs Access109
- Content Fetching108
- Note Taking97
- File Systems96
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- Finance91
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- Image & Video Processing69
- Digital Note Management66
- AI Memory Systems62
- Advanced AI Reasoning59
- Git Management Tools58
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- Location Services35
- Web Automation & Stealth32
- Media Content Processing32
- Calendar Management26
- Ecommerce & Retail18
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- Health & Wellness10
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- Marketing9
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- Google Cloud Integrations7
- Art & Culture4
- Language Translation3
- Legal & Compliance2
SuperiorAPIs MCP Server Tool
A Python-based MCP server that dynamically fetches plugin definitions from SuperiorAPIs and auto-generates tool functions based on OpenAPI schemas, enabling integration with various APIs through natural language.
Outlook MCP
Enables semantic search and AI-powered analysis of Outlook emails using RAG-based natural language queries and Vision AI for architectural documents, with specialized support for AEC workflows.
tts-mcp-server
MCP 기반 TTS 서버
Spec Kit MCP Server
Enables AI assistants to interact with Spec Kit templates and workflows for managing project specifications, planning, and implementation through guided prompts covering constitution, specification, planning, tasks, and implementation phases.
@zephyr-mcp/gitlab
Hue MCP Server
Enables control of Philips Hue lights through VS Code Copilot or Claude Desktop using natural language commands. Supports turning lights on/off, adjusting brightness, changing colors, and listing available lights on your Hue Bridge.
DataGov Israel MCP Server
이스라엘 정부 데이터용 MCP 서버
WordPress MCP Server
Enables AI agents to manage WordPress sites with 190+ tools for content management, theme/plugin customization, file system operations, WooCommerce, and complete site control through natural language.
strava-mcp
스트라바 사용자들을 위한 MCP 서버
ROS2 MCP Server
A Python-based server that enables AI assistants to control robots by integrating the Model Context Protocol (MCP) with ROS 2, allowing for natural language commands that translate into robot movement via the /cmd\_vel topic.
modbus-mcp
modbus-mcp
Postman MCP Generator
A server that implements the Model Context Protocol (MCP) standard, enabling LLMs like Claude to interact with selected Postman API requests through generated JavaScript tools.
ADK MCP Agent
A streaming chat agent that integrates Google ADK with Model Context Protocol and Google Maps tools, enabling users to interact with location-based services through a conversational interface.
GitHub PR Review Server
Enables automated GitHub Pull Request reviews using local Ollama, Cursor CLI, or Gemini CLI as AI providers. Supports customizable review prompts, comprehensive PR analysis, and optional auto-posting of reviews to GitHub.
Trip Planner MCP
Enables multi-agent trip planning with coordinated specialized agents for team management, food preferences, and travel recommendations. Integrates Neo4j employee graphs, Postgres data, real-time weather APIs, and country information for comprehensive travel planning.
Remote MCP Server on Cloudflare
Biel AI
Let AI tools like Cursor, VS Code, or Claude Desktop answer questions using your product docs. Biel.ai provides the RAG system and MCP server.
MCP MQTT Server
Enables LLM agents to interact with MQTT brokers through publish, subscribe, and query operations. Provides fine-grained topic permissions with wildcard support for secure IoT device communication and sensor data access.
MCP Calendar
파이썬으로 MCP Google Calendar 서버를 만드는 방법에 대한 정보는 찾을 수 없습니다. "MCP"가 무엇을 의미하는지 명확하지 않기 때문입니다. 만약 "MCP"가 특정 라이브러리, 프레임워크, 또는 개념을 의미한다면, 해당 정보를 알려주시면 더 정확한 답변을 드릴 수 있습니다. 하지만, 일반적인 파이썬을 사용하여 Google Calendar API를 사용하는 방법에 대한 정보는 제공해 드릴 수 있습니다. **파이썬으로 Google Calendar API 사용하기 (일반적인 방법):** 1. **Google Cloud Platform 프로젝트 설정:** * Google Cloud Platform (GCP) 콘솔에서 프로젝트를 생성합니다. * Google Calendar API를 활성화합니다. * OAuth 2.0 클라이언트 ID를 생성하고 다운로드합니다 (credentials.json 파일). 2. **필요한 라이브러리 설치:** ```bash pip install google-api-python-client google-auth-httplib2 google-auth-oauthlib ``` 3. **코드 예시 (이벤트 목록 가져오기):** ```python from __future__ import print_function import datetime import os.path from google.auth.transport.requests import Request from google.oauth2.credentials import Credentials from googleapiclient.discovery import build from googleapiclient.errors import HttpError # If modifying these scopes, delete the file token.json. SCOPES = ['https://www.googleapis.com/auth/calendar.readonly'] def main(): """Shows basic usage of the Google Calendar API. Prints the start and name of the next 10 events on the user's calendar. """ creds = None # The file token.json stores the user's access and refresh tokens, and is # created automatically when the authorization flow completes for the first # time. if os.path.exists('token.json'): creds = Credentials.from_authorized_user_file('token.json', SCOPES) # If there are no (valid) credentials available, let the user log in. if not creds or not creds.valid: if creds and creds.expired and creds.refresh_token: creds.refresh(Request()) else: from google_auth_oauthlib.flow import InstalledAppFlow flow = InstalledAppFlow.from_client_secrets_file( 'credentials.json', SCOPES) creds = flow.run_local_server(port=0) # Save the credentials for the next run with open('token.json', 'w') as token: token.write(creds.to_json()) try: service = build('calendar', 'v3', credentials=creds) # Call the Calendar API now = datetime.datetime.utcnow().isoformat() + 'Z' # 'Z' indicates UTC time print('Getting the upcoming 10 events') events_result = service.events().list(calendarId='primary', timeMin=now, maxResults=10, singleEvents=True, orderBy='startTime').execute() events = events_result.get('items', []) if not events: print('No upcoming events found.') return for event in events: start = event['start'].get('dateTime', event['start'].get('date')) print(start, event['summary']) except HttpError as error: print('An error occurred: %s' % error) if __name__ == '__main__': main() ``` 4. **코드 실행:** * `credentials.json` 파일을 코드와 같은 디렉토리에 위치시킵니다. * 코드를 실행하면 브라우저가 열리고 Google 계정으로 로그인하여 앱에 액세스 권한을 부여해야 합니다. * 인증이 완료되면 `token.json` 파일이 생성됩니다. * 콘솔에 다음 10개의 이벤트가 출력됩니다. **설명:** * `credentials.json`: Google Cloud Platform에서 다운로드한 클라이언트 ID 파일입니다. * `token.json`: 액세스 토큰과 갱신 토큰을 저장하는 파일입니다. * `SCOPES`: 앱에 필요한 API 액세스 권한을 정의합니다. * `build('calendar', 'v3', credentials=creds)`: Google Calendar API 서비스 객체를 생성합니다. * `service.events().list(...)`: 이벤트 목록을 가져오는 API 호출입니다. **더 자세한 정보:** * **Google Calendar API 공식 문서:** [https://developers.google.com/calendar/api/quickstart/python](https://developers.google.com/calendar/api/quickstart/python) * **Google API Python Client 라이브러리:** [https://github.com/googleapis/google-api-python-client](https://github.com/googleapis/google-api-python-client) **"MCP"에 대한 추가 정보가 있다면, 더 구체적인 도움을 드릴 수 있습니다.** 예를 들어, "MCP"가 특정 메시지 큐 프로토콜이나, 특정 서버 아키텍처를 의미한다면, 해당 내용을 포함하여 다시 질문해 주세요.
Remote MCP Server for Cloudflare
A serverless MCP (Model Context Protocol) implementation that can be deployed on Cloudflare Workers without authentication, allowing clients like Claude Desktop to connect to custom AI tools.
MCP Test Server
A testing server that demonstrates Model Context Protocol features, providing access to user data, todos, and system information through resources, tools for user management and calculations, and prompt templates for various analyses.
Daisys MCP Server
A beta server that enables integration with Daisys.ai services via the Message Control Protocol (MCP), allowing AI clients like Claude Desktop and Cursor to use Daisys features through a standardized interface.
Gemini Image Generator MCP
Enables Claude Desktop users to generate and edit high-quality images using Google's Gemini AI. Supports text-to-image generation, image transformations with text prompts, and automatic local saving with multilingual support.
MCP Server Sample
An educational implementation of a Model Context Protocol server that demonstrates how to build a functional MCP server integrating with various LLM clients.
🧠 mcp_server-client_EAG-S-4 - Local Setup
LangChain Agent MCP Server
Exposes LangChain agent capabilities through the Model Context Protocol, enabling multi-step reasoning tasks with ReAct pattern execution via a production-ready FastAPI service deployed on Google Cloud Run.
1mcpserver
MCP of MCPs. Automatic discovery and configure MCP servers on your local machine. Integration with Claude and Cursor.
Nowledge Mem
Enables Claude to add and search personal memories through the Nowledge Mem service. Allows users to store and retrieve contextual information across conversations.
FHIR MCP Server by CData
This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for FHIR (beta): https://www.cdata.com/download/download.aspx?sku=KIZK-V&type=beta
Dialogflow MCP Server
An MCP server that enables natural language interactions with Google's Dialogflow API, allowing users to create and manage conversational agents, intents, and entities through the Dialogflow v3beta1 API.