Explore our complete collection of MCP servers to connect AI to your favorite tools.
Manages persistent context for AI coding assistants within an MCP server environment.
Enables AI agents to manage documents, collections, and other entities programmatically through the Outline knowledge base platform.
Connects MCP clients with a browser using browser-use, leveraging the client's existing LLM setup without requiring an external API key.
Provides Go bindings for the txtai API, enabling access to semantic search, LLM orchestration, and language model workflows.
Enables AI assistants to access and utilize OpenAI's web search functionality during conversations.
Connects AI agents to the Keboola platform for data access, transformation, and job management.
Integrates MCP Clients with Stability AI to generate, edit, and upscale images.
Integrates with Anki to allow managing decks, note models, and notes via the Model Context Protocol.
Connect AI agents to Databricks for enterprise data access and developer automation.
Enables AI applications to access and query databases using the Legion Query Runner with Model Context Protocol (MCP) integration.
Provides AI-powered comprehensive research and analysis capabilities by integrating with advanced deep research agents.
Enables advanced automation and intelligent interaction with LeetCode's problems, contests, solutions, and user data.
Enables natural language interaction with Excel files for data analysis, visualization, and manipulation.
Provides a native Delphi server implementation of the Model Context Protocol (MCP) for AI-powered Delphi development workflows.
Connects OpenAI's GPT-5 API to Claude Code environments for advanced AI capabilities.
Fetches stock data, news, and financial information from Yahoo Finance using an MCP server.
Automates AI optimization of Linux kernel schedulers using the sched-ext framework.
Enables AI assistants to efficiently check dependency vulnerability and security information.
Dynamically defines mcp tools at runtime by scraping Swagger UI and extracting the swagger.json file.
Integrates OpenAI's o1 model and Flux capabilities through Model Context Protocol (MCP) servers.
Detects and lists Model Context Protocol (MCP) configurations in the local development environment.
Connects AI assistants to AWS security services for autonomous querying, inspection, and analysis of AWS infrastructure.
Standardizes access to over 20 NASA data sources through a single, consistent interface for AI models.
Enables querying OpenAI models directly from Claude using the MCP protocol.
Equips AI assistants with local-first persistent memory for storing context, decisions, and knowledge across sessions.
Provides an operating system for rapidly building and deploying extensible, secure AI agents with advanced architecture patterns.
Provides a persistent memory system for Model Context Protocol (MCP) using libSQL, enabling vector search and knowledge management.
Provides LLMs with efficient access to package documentation across multiple programming languages.
Provides a command-line interface for managing Tiger Cloud database services and integrates a Model Context Protocol server to assist AI agents in generating production-ready Postgres code.
Analyzes and queries GitHub repositories using the GitHub Chat API.
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