Explore our complete collection of MCP servers to connect AI to your favorite tools.
Enables AI assistants to interact with Jenkins CI/CD servers via a Model Context Protocol (MCP) interface.
Creates an assistant integrated with n8n that searches documentation, example workflows, and community forums.
Enables LLMs to query Supabase databases and understand their structure through a Model Context Protocol.
Integrates Claude with Salesforce, enabling natural language interactions with your data and metadata.
Enables LLMs to decode, encode, transcode, mux, demux, stream, filter, and play various media formats.
Provides real-time web search capabilities to AI models via the Model Context Protocol (MCP).
Enables AI assistants to perform code quality checks, suggest improvements, and automate debugging workflows.
Manage multiple Kubernetes clusters from a centralized control plane.
Integrates the Model Context Protocol (MCP) into Express applications with lightweight stateful, stateless, and SSE middleware.
Provides a barebones foundation for building Model Control Protocol (MCP) servers in Swift for macOS applications and command line tools.
Enables a local iMessage Retrieval-Augmented Generation (RAG) server.
Integrates with KubeSphere APIs to enable resource retrieval.
Enables AI assistants to access and analyze Oura Ring data through the Model Controller Protocol (MCP).
Implements a Model Context Protocol (MCP) server utilizing MQTT.
Finds and recommends restaurants with AI-powered filtering for cuisine, mood, and event type, integrating with Google Maps to provide booking assistance.
Performs gene set enrichment analysis using the Enrichr API within a Model Context Protocol server.
Provides an AI-native Model Context Protocol (MCP) server for seamless integration with Alfresco Content Services, enabling comprehensive content management operations.
Connects AI assistants and MCP clients to the Backlog API, enabling extensive interaction with project management functionalities.
Enables AI assistants to programmatically access VS Code's language intelligence, debugging, and code execution capabilities through the Model Context Protocol.
Facilitates comprehensive SQL Server database operations, analysis, and data manipulation through the Model Context Protocol.
Manages Git worktrees and workspaces to provide isolated development environments for parallel tasks.
Facilitates parallel execution of AI tasks by bridging MCP-compatible clients with Codex and Gemini CLI agents and delivering structured responses.
Orchestrates a comprehensive spec-driven development workflow, integrating requirements, design, implementation, and validation within an MCP client.
Integrates Google's Gemini AI models with Model Context Protocol (MCP) clients, enabling advanced AI capabilities for applications like Claude Desktop.
Enables AI agents to interact with terminal applications by representing their state as a structured Terminal State Tree (TST).
Extends AI assistant memory by leveraging Gemini's context caching to load and query large codebases, documentation, and PDFs.
Enables large language model (LLM) agents to play full games of Civilization VI through direct interaction with the game's rule-enforcing APIs.
Converts ChatGPT export data into organized Markdown files, enabling full-text search and native integration with Claude via an MCP server.
Detect, auto-fix, and optimize issues across your Microsoft Fabric tenant's data items.
Indexes local files and codebases, enabling massive token savings for AI tools like Claude through hybrid search and intelligent context retrieval.
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