Explore our complete collection of MCP servers to connect AI to your favorite tools.
Facilitates deployment and integration of AI Model Context Protocol servers with Microsoft Copilot Studio to enhance AI model capabilities with external data sources.
Analyzes text for sentiment and sarcasm using Hugging Face Transformers within a Gradio application.
Establishes a persistent personal and organizational knowledge base, providing AI agents with instant context about user identity and preferences.
Provides a comprehensive set of tools for accessing, searching, and managing personal and team internal knowledge repositories.
Connects the Swit collaboration platform to automate workflows via Model Context Protocol.
Provides access to the Flightradar24 API for real-time and historical flight data.
Integrates Basecamp with large language models, enabling programmatic interaction with projects, messages, todos, comments, and kanban boards.
Enables large language models to access Meilisearch's search capabilities via the Model Context Protocol.
Manages Cherry Studio LevelDB configurations by providing a clean interface for handling Model Context Protocol (MCP) server settings.
Manages a to-do list using a command-line interface and a server-side API, leveraging JSON-RPC and LLMs for task management.
Integrates local SpiderFoot functionality into MCP-compatible clients and IDEs by exposing its API endpoints as protocol tools.
Provides AI assistants with read-only access to Reddit's API, enabling browsing, searching, and information retrieval across subreddits.
Provides a headless integrated development environment for AI agents.
Evaluates functionality using the Claude language model.
Provides Large Language Models with access to news and information about renewable energy projects in Germany via the Model Context Protocol.
Proxies requests to the Google Programmable Search Engine, providing caching, rate-limiting, and metrics.
Offers practical code examples and foundational building blocks for understanding and implementing A2A protocols.
Integrates Vertex AI Search into an MCP server to retrieve configurable document snippets and extractive segments for discovery.
Empowers AI assistants with a comprehensive suite of tools for interacting with the Osmosis blockchain, including direct transaction execution.
Enables interaction with Watson Discovery to retrieve project details, collections, and documents matching specific queries.
Establishes secure SSH connections and facilitates file transfers to remote hosts, exposing these capabilities as tools for AI-driven workflows.
Retrieves webpage content by leveraging Jina AI's reader service.
Analyzes blockchain data to detect and classify cryptocurrency whales across multiple chains.
Provides advanced date, time, timezone, and calendar operations for AI agents and applications.
Manages and coordinates multi-agent systems, providing a centralized control point for distributed agent operations.
Provide real-time read-only access to Ethereum blockchain data for AI and LLM agents via MCP servers or a RESTful API.
Verifies and reports the supported Model Context Protocol (MCP) capabilities of connected hosts or clients.
Manages user identities and context for the VibeDoge exchange demo, integrating an interactive Vibe Coding lottery system.
Manages multiple Fireproof JSON document databases via the Model Context Protocol for integration with AI systems.
Retrieves real-time weather information for any city worldwide.
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