Explore our complete collection of MCP servers to connect AI to your favorite tools.
Facilitates the creation of mock data for MCP server development and testing.
Collects a list of issues from Sentry within an MCP server environment.
Adapts Telegram posts to the X format while adhering to a strict 220-character limit.
Presents relevant information for the aimcp project.
Enables interaction with the Opsbeacon API through Claude, facilitating command and connection listing.
Provides a scalable server implementation for managing AI interactions, conversations, and monitoring.
Facilitates terminal-based LLM chats enhanced with Langchain tools and MCP server capabilities.
Integrates Claude with Todoist for natural language task management.
Provides an MCP interface for accessing Linear resources.
Enables web scraping, content searching, site crawling, and data extraction using the Firecrawl API.
Implements a knowledge graph memory server enabling Claude to remember user information and learn from past errors through a lesson system.
Enables querying of Morpho's GraphQL API for market data, vaults, positions, and more.
Enables interaction with the esa.io API via the Model Context Protocol (MCP).
Provides LLM Agents a second opinion via AI-powered mentorship capabilities, including code review, design critique, writing feedback, and idea brainstorming through the Deepseek API.
Efficiently manages memory for AI agents, optimizing their performance and enabling long-term information retention.
Automate Git push operations for multiple repositories through an MCP server.
Integrate TestDino test management with AI agents for natural language interaction with test data.
Integrate ZeroBounce's comprehensive email validation, verification, and intelligence capabilities directly into AI coding assistants and MCP-compatible clients.
Connects AI assistants to a personal self-awareness framework, linking daily actions to core motivations.
Provides Android development assistance following best practices, incorporating architecture patterns and code generation.
Combines a Todo web API with Model Context Protocol (MCP) server support, enabling AI agents to interact directly with application data and functionality.
Provides a production-ready multi-voice text-to-speech library and MCP server for AI assistants, enabling real-time streaming, SSML, emotional speech, and sound effects.
Captures decisions, timelines, and patterns across Claude Code sessions to make context recoverable after compaction.
Integrates Gemini's powerful AI capabilities into multi-agent systems and other MCP clients, enabling advanced language model interactions.
Empowers AI agents with robust web search and content extraction capabilities.
Facilitates AI-driven Play Mode testing, input simulation, and game state querying within Unity, enabling continuous interaction with the game runtime even when the editor is in the background.
Integrate AI assistants with Directum RX by providing access to metadata, development tools, and runtime operations.
Transforms existing backend services into AI-accessible tools without requiring any business logic rewrites.
Converts any OpenAPI specification into a live server for AI agents, incorporating user confirmation prompts for all mutating operations.
Access comprehensive nutritional, allergen, and environmental data for millions of food products from Open Food Facts.
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