Explore our complete collection of MCP servers to connect AI to your favorite tools.
Orchestrates tests and static analysis for PHP projects, streamlining development workflows.
Enables access and searching of Lark (Feishu) documents via a Model Context Protocol server.
Integrates Google's Gemini model with Claude using the Model Context Protocol (MCP).
Enables AI agents to perform web searches via the Bocha API using the Model Context Protocol.
Enables querying of the Consumer Financial Protection Bureau's (CFPB) Consumer Complaint Database API from within applications like Claude Desktop.
Enables AI agents to interact with Minecraft Bedrock using WebSockets and the Minecraft Script API.
Integrates with Claude Desktop to perform automatic speech recognition and manage transcription results.
Aids in optimizing requirement engineering workflows by leveraging AI-driven insights and innovative coding methodologies.
Enables AI assistants to execute PromQL queries, analyze Prometheus metrics, and monitor infrastructure seamlessly.
Empowers large language models with symbolic reasoning capabilities using Answer Set Programming and the Clingo solver.
Orchestrates multiple AI models to provide enhanced code analysis, problem-solving, and collaborative development within CLI-based AI agents.
Deploys an agentic AI architecture on AWS Fargate for Amazon ECS, enabling an AI service to interact with multiple Model Context Protocol servers to perform various actions.
Connects large language models to the Firelinks platform, enabling programmatic access to link management, statistics, and domain control.
Integrates the WorldAnvil worldbuilding platform with AI tools to manage articles, maps, timelines, and more.
Decompile Java class and JAR files using CFR for source code analysis and integration into agent workflows.
Provides a persistent, event-sourced knowledge graph for AI partners, enabling semantic search and version-controlled memory.
Empowers AI agents to systematically create, query, and maintain architecture decision records within a structured SQL database.
Establishes a privacy-first universal memory and profile layer for AI agents, integrating personal and team context across various AI tools.
Centralizes Model Context Protocol (MCP) server management, routing client requests, and enforcing fine-grained access control across multiple backend servers through a unified interface.
Access and manage Purdue Brightspace course information, including grades, due dates, announcements, and rosters, using natural language queries via AI clients.
Manages team-based tasks and integrates AI assistants like Claude through a standardized Model Context Protocol (MCP) interface.
Provides real-time product, price, and stock data from leading Turkish electronic component markets to enhance AI model capabilities.
Integrate any Arduino-compatible microcontroller into an AI agent's toolkit, enabling AI control over physical devices.
Transforms scattered notes and documents into a searchable personal knowledge graph through entity extraction, GraphRAG, and Multi-source Intelligence Platform (MCP) integration.
Performs container-native hybrid search for Obsidian vaults, integrating BM25, fuzzy, and vector methods with local or API-based embeddings.
Enables AI models and other MCP clients to interact with OmniFocus projects, tasks, and productivity data on macOS.
Transforms raw Google Stitch UI into production-ready frontend components with design system adherence, accessibility, responsiveness, and framework-specific code.
Enables AI agents and MCP-compatible clients to programmatically edit video files with structured tools.
Provides AI assistants access to the AutoEQ headphone equalization database for searching, comparing, and retrieving EQ settings for over 8,800 headphones and IEMs.
Provides a comprehensive suite of 51 specialized tools for security testing across various domains including penetration testing, forensics, and vulnerability assessment.
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