AI Tool Integration

# AI Tool Integration

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MCP Devtools
MCP DevTools is a collection of toolkits that enables the interaction between AI assistants and external tool services through the Model Context Protocol. Currently, it provides integration support for the Jira and Linear platforms.
TypeScript
5.8K
2.5 points
M
MCP Server For Local
A local proxy server and client implementation based on the MCP platform, integrating the ability to call multiple AI tools such as weather query, Google search, camera control, AI image generation, and intelligent dialogue, supporting cross-platform operation and modular expansion.
Python
8.4K
2 points
M
MCP All Servers
The Model Context Protocol (MCP) is an open-source protocol that provides a series of reference implementations and community-built servers, enabling large language models (LLMs) to access tools and data sources securely and controllably. This project includes various types of server implementations, covering multiple domains such as file systems, databases, Git, and Slack, and supports TypeScript and Python SDKs.
TypeScript
7.9K
2 points
Y
Yevanchen Difyapp As MCP Server
A plugin that exposes Dify workflows as an MCP server to AI clients
Python
9.0K
2.5 points
H
Howrisky MCP Server
The HowRisky MCP server provides institutional-level Monte Carlo risk analysis for AI agents, including various financial modeling tools such as portfolio risk, startup equity, real estate, and the Kelly Criterion. It supports integration with multiple AI desktop applications.
JavaScript
3.6K
2 points
M
Mcp2lambda
MCP2Lambda is an MCP server that allows AWS Lambda functions to be used as tools for large language models (LLMs) without modifying the code. It builds a bridge between AI models and Lambda functions through the Model Context Protocol (MCP), enabling models to access private resources and perform custom operations.
Python
14.2K
3 points
S
Slim Utility Suite
Slim-MCP is a framework that provides Python tool integration for Claude AI, enhancing AI functionality through the MCP protocol
Python
6.4K
2 points

Featured MCP Services

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Notion Api MCP
Certified
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.
Python
17.5K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
53.4K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
28.3K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
17.4K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
24.0K
5 points
F
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.
TypeScript
51.0K
4.5 points
G
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.
TypeScript
18.1K
4.5 points
C
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.
TypeScript
75.2K
4.7 points
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