Explore our complete collection of MCP servers to connect AI to your favorite tools.
Researches and demonstrates the implementation of Message Coordination Protocol (MCP) servers for distributed systems.
Provides tools related to Minecraft Pixelmon server management.
Enables AI assistants to seamlessly interact with Raworc's agent runtime platform via the Model Context Protocol.
Provides an implementation of the Model Context Protocol for the XP Framework, enabling both client and server capabilities.
Delivers real-time weather alerts and forecasts for US locations by integrating with the National Weather Service API, making this data accessible to any Model Context Protocol client.
Delivers Stackpress-specific context to AI utilities for improved understanding and responses.
Enables AI assistants and MCP-compatible clients to send and manage SMS messages through the 46elks API, leveraging Swedish telecommunications infrastructure.
Connects ChatGPT to Mixpanel, enabling live data queries for analytics and insights.
Exposes USDA FoodData Central through a server interface.
Provides AI assistants and applications with programmatic access to Poland's largest business registry database, rejestr.io.
Connects large language models to a remote Jupyter server for sandboxed code execution and interpretation.
Manages RAG-enabled memory with a PostgreSQL/Supabase backend, providing knowledge graph, document management, and semantic search capabilities for AI applications.
Guides humans and AI agents through rigorous First Principles reasoning, transforming vague problems into structured hypotheses and decisions.
Perform Retrieval Augmented Generation (RAG) on local codebases using a raw Python implementation with support for multiple AI providers.
Facilitates integration of Tableau, a data visualization and analytics platform, with Generative AI applications via the Model Context Protocol.
Provides AI agents with episodic memory and architectural awareness to prevent context loss in long-running development workflows.
Provides a lightweight vector database implementation with Model Context Protocol (MCP) server support, optimized for local LLM applications.
Provide AI agents with essential coding capabilities like shell execution, file editing, and search via a standalone MCP server.
Transforms authenticated user browser sessions into composable, testable AI tools and site-specific MCP servers.
Strategically prioritizes tasks and orchestrates agent actions across multiple projects using a weighted scoring engine and organizational context.
Enables AI agents and MCP clients to query and analyze PostgreSQL databases in natural language with secure, read-only access.
Equip Claude Code with a persistent, intelligent long-term memory system, featuring hybrid retrieval, smart extraction, and intelligent forgetting.
Secures sensitive keys and infrastructure for agentic AI applications with a zero-trust secret management ecosystem.
Connects Matomo Analytics to an MCP client, enabling natural language querying of analytics data via 16 specialized tools.
Delivers real-time business event intelligence to AI agents through the Model Context Protocol.
Enables large language models to interact with public NASA TechPort information.
Manages Frisco.pl grocery delivery orders, cart, products, and delivery slots through a command-line interface and MCP server.
Establishes a verifiable trust layer for AI agents to check claims against cryptographic evidence before taking action.
Automates X/Twitter interactions, including tweets, replies, likes, and follows, leveraging OpenClaw and Xquik for efficient API usage.
Facilitates fast, MEV-protected crypto swaps and token discovery on PumpFun via a non-custodial API.
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