# AI integration

An MCP server that connects AI assistants with the Metabase analytics platform, providing functions such as data query and dashboard access, and supporting two authentication methods.

The JobSpy MCP server is a tool that provides cross - platform job search functionality for AI assistants through the Model Context Protocol (MCP), supporting job searches on multiple platforms and structured data output.

Redshift MCP Server is a Python-based implementation of the MCP protocol that enables AI assistants to interact with Amazon Redshift databases.

The DeepSource MCP Server is a service that implements the Model Context Protocol, used to connect the DeepSource code quality analysis platform with an AI assistant, providing functions for querying code quality indicators, issues, and accessing analysis results.

A server tool for AI assistants to directly manage Render.com services through the MCP protocol

MCP Linear is a Model Context Protocol server that implements the Linear GraphQL API, enabling AI assistants to interact with the Linear project management tool.

Gossiphs is a zero-configuration, high-performance general code file relationship analysis tool that supports multiple programming languages. It is based on tree-sitter and git analysis, provides support for Python SDK and MCP protocol, and is convenient for integration with AI.

Clo MCP is an integrated system that connects Clo3D with large language models, enabling AI-assisted fashion design and scene manipulation through the model context protocol.

Yingdao RPA MCP Server is an implementation based on the Model Context Protocol (MCP), providing a service for Yingdao AI Power and other MCP Host tools to call RPA capabilities. It supports the local mode and the open API mode, and can query and run RPA applications, upload files, manage jobs, etc.

The Allora MCP Server is an implementation based on the Model Context Protocol (MCP) that provides the function of obtaining machine learning inference data from the Allora network, enabling AI systems to seamlessly access Allora prediction market data.

Fetch MCP Server is an implementation based on the Model Context Protocol (MCP), providing real-time communication and web content scraping functions, supporting Server-Sent Events (SSE) and AI application integration.

This project integrates the Nuvama trading platform with Claude AI through the MCP framework, supporting direct stock buying and selling, portfolio query, etc. via AI, and includes a tooling interface for the FastMCP server.

An MCP server connecting LLM and Plane.so, enabling project and issue management through the API

TaskBoardAI is a lightweight, file - based kanban tool designed for AI agents, supporting JSON file storage and MCP server integration, and providing rich kanban management functions.

An MCP server based on the Firebase Admin SDK, providing a toolset for managing Firebase authentication and Firestore database operations, and supporting integration with AI assistants.

An MCP server for local file system read and write, which can be integrated with AI assistants such as Claude to implement file management functions

A server that provides Steam game data through the MCP protocol

An MCP server tool that allows Claude AI to directly interact with MySQL databases

This project enhances Claude's ability to handle complex tasks by integrating the reasoning engine of DeepSeek R1, providing support for multi-step precise reasoning.

Build a Claude-compatible MCP server using Python, supporting the deployment of local tools and interaction with the Claude desktop client

A model context protocol server for interacting with the Foundry platform, supporting AI assistants to operate on datasets, ontology objects, and execute functions.

HWP-MCP is a protocol service that enables AI models to control HWP documents, supporting document creation, editing, and automation processing.

A knowledge graph server based on Neo4j, integrating AI models and the MCP protocol, supporting dynamic knowledge management and semantic search.

The Supabase MCP Server is a tool that connects Supabase projects with AI assistants. It standardizes the interaction between large language models (LLMs) and external services through the Model Context Protocol (MCP), enabling functions such as database management, configuration acquisition, and data querying.

n8n is a workflow automation platform for technical teams, combining code flexibility and no - code speed, offering over 400 integrations, native AI capabilities, and fair - code licensing, supporting self - hosting or cloud deployment.

IDA Pro MCP Server is a plugin that enables remote interaction between AI assistants and IDA Pro through the Model Context Protocol interface, supporting binary analysis tasks such as disassembly, pseudocode retrieval, and function query.

The Qwen MCP tool is a server based on the model context protocol that integrates Qwen CLI with AI assistants, providing functions such as large context window analysis, file processing, sandbox execution, and multi - model support.

The MCP Speaker Diarization and Recognition System is a complete solution integrating GPU-accelerated speaker separation, speech recognition, emotion detection, and a web interface. It combines the speaker separation of pyannote.audio with the faster-whisper transcription technology, supporting persistent speaker recognition (one-time registration, permanent recognition), dual-detector emotion analysis (combining general AI and personalized voiceprints), real-time stream processing, REST API, and MCP server, and is designed for AI intelligent agent integration and hobby projects.

The Miro MCP Server is a high-performance tool developed in Go language, providing 77 tools to control Miro whiteboards, supporting AI integration, chart generation, bulk operations, etc. It runs through a single binary file and is compatible with all major AI tools and platforms.

A Temporal-based workflow orchestration system for managing multi-workspace Terraform deployments, supporting dependency resolution, variable passing, and MCP server integration for AI-driven automation.