Explore our complete collection of MCP servers to connect AI to your favorite tools.
Visualizes project directory structures as markdown, automatically documenting file contents.
Integrates Alfresco with the Model Context Protocol to connect content services to AI applications.
Provides a collection of standalone Python scripts implementing Model Context Protocol (MCP) servers for various utility functions.
Enforces security configurations for Microsoft 365 in accordance with CISA Binding Operational Directive 25-01.
Retrieves and analyzes SEC filings for data extraction.
Integrates Notion workspaces with AI models through a Model Context Protocol (MCP) server.
Demonstrates Semantic Kernel integration with Model Context Protocol in a Windows Forms application.
Provides system prompts for AI agents used in various AI clients.
Securely run Model Context Protocol (MCP) servers without hardcoding secrets in configuration files.
Provides an interface for interacting with the Harvest time-tracking API.
Facilitates interaction with the Hamibot API for managing and controlling Hamibot devices and scripts.
Retrieves Sentry issue details or lists of issues for analysis and debugging.
Provides a collection of Model-Context-Protocol (MCP) server implementations and a development tutorial.
Provides comprehensive resources for implementing Model Context Protocol (MCP) servers, specifically tailored for Cursor AI integration.
Enables MQTT operations over Server-Sent Events transport using the Model-Context Protocol.
Provides a TypeScript starter for building Model Context Protocol (MCP) servers with resources, prompts, and tools.
Establishes a standardized protocol for managing model-context interactions in distributed applications.
Provides intelligent recommendations for other Model Context Protocol (MCP) servers tailored to specific development requirements.
Integrates Clado with the Model Context Protocol (MCP) to provide comprehensive LinkedIn data retrieval and enrichment tools.
Connects AI Endurance training platforms to AI assistants for conversational access to training data, workouts, and performance analytics.
Extracts the essential structure from large command outputs, returning only the schema to AI agents to optimize context and token usage.
Orchestrate remote SSH and SFTP connections with advanced interactive capabilities and revolutionary background execution.
Empower AI agents to create, manage, and optimize ad campaigns across Google, Meta, LinkedIn, Microsoft, Reddit, and TikTok.
Enables headless Claude Code instances to interact with users through OpenClaw-connected messaging apps like Telegram, Signal, and Discord.
Provides AI agents with programmatic access to self-hosted Penpot instances for comprehensive UI/UX design and prototyping.
Transforms real project history into structured context for AI agents, enabling real-time queries.
Provides persistent memory and project context to enhance AI coding agents' efficiency across development sessions.
Enables AI assistants to access an OpenViking knowledge base, facilitating semantic search and document retrieval capabilities.
Integrates TickTick task management and productivity features directly into large language models via a Model Context Protocol server.
Enables AI agents to conduct real user interviews via voice calls and generate structured insights like themes and verbatim quotes.
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