
O'reilly Learning Platform
A client service project based on SSE that supports message sending, historical query, and tool invocation.
Python
4.4K
2 points

Ai Agent With MCP
An AI agent project based on the MCP protocol, providing user management and message resource access functions, supporting interaction through REST API or MCP client.
JavaScript
8.7K
2.5 points

Dingtalk MCP
The DingTalk MCP service project provides an API for interacting with DingTalk enterprise applications, supporting employee information query and message sending functions.
Go
8.9K
2.5 points

Whatsapp MCP Server
A comprehensive server for interacting with the WhatsApp Business API, supporting functions such as message sending, template management, media uploading, and business profile updates.
JavaScript
10.1K
2.5 points

Gallabox MCP Server
The Gallabox MCP Server is an API service for interacting with WhatsApp messages, supporting the sending of text, template, and interactive messages.
TypeScript
7.0K
2 points
Featured MCP Services

Markdownify MCP
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Gitlab MCP Server
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Notion Api MCP
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A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
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Duckduckgo MCP Server
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The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
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Unity
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Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
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Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
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Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
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