Explore our complete collection of MCP servers to connect AI to your favorite tools.
Connects Obsidian instances and remote vaults with desktop AI tools like Claude and ChatGPT, enabling powerful vault access, knowledge graph analysis, and advanced integrations.
Provides LLMs with access to documentation websites by scraping them with crawl4ai, enabling real-time documentation access for AI tools.
Enables LLMs to interact with web pages by providing browser automation capabilities, including screenshot capture and JavaScript execution.
Enables AI assistants to participate in team conversations across multiple chat platforms, such as Google Chat, Slack, and Microsoft Teams.
Enables AI assistants to interact with and manage infrastructure-as-code operations for Ansible, Terraform, and LocalStack.
Provides AI agents with curated resources from a vast collection of awesome lists.
Retrieves articles and weekly news from GeekNews using web scraping and caching to reduce server load.
Enhances AI model reasoning by implementing structured, retrieval-augmented thinking processes.
Captures website screenshots with full page, element, and device size features via a Model Context Protocol server.
Provides access to NebulaGraph 3.x using the Model Context Protocol.
Provides a Model Context Protocol client leveraging Google Gemini AI models for intelligent tool usage and conversation management.
Enables Large Language Models to interact with and control a Game Boy emulator.
Enables AI assistants to execute Python code within a persistent Django shell session.
Enables multi-agent conversations through a standardized interface using Microsoft's AutoGen framework.
Enables interaction with Babashka, a Clojure interpreter, through the Model Context Protocol.
Enables language models to access and query athlete activity data from the Strava API.
Enables AI assistants to interact directly with the microCMS content management system.
Provides resource-based access to AI model inference, particularly for image generation tasks, through the Replicate API.
Enables LLMs to record, retrieve, and manage their reasoning processes during problem-solving.
Provides an AI-powered interface for debugging and inspecting Kubernetes clusters with eBPF-based gadgets.
Enables AI assistants to securely interact with Databricks workspaces by hosting Model Context Protocol (MCP) prompts and tools on Databricks Apps.
Provides real-time cryptocurrency market data to Claude Desktop using the CoinGecko API.
Enables semantic search and management of documentation through vector similarity using RAG techniques.
Provides a Model Context Protocol (MCP) server offering access to various Chinese stock market data queries via the TuShare API.
Enables AI assistants to query clinical trial data from the ClinicalTrials.gov database.
Provides an unofficial MCP server to interact with the official US Congress API for legislative data.
Enables interaction with macOS applications like Contacts, Notes, Mail, and Calendar through AppleScript.
Provides FFmpeg capabilities to AI assistants via the Model Context Protocol (MCP) for video processing tasks.
Simplifies LLM application development using YAML-based configuration for resource management, prompt templates, and tool execution.
Gives AI models persistent memory using an Elasticsearch-backed knowledge graph.
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