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Enables Claude and other LLMs to interact with construction documents through advanced RAG and hybrid search.
Enables AI agents to interact with the Solana blockchain through a standardized interface.
Provides unrestricted system access to Windows environments via a command-line interface.
Manages persistent notes through a Model Context Protocol (MCP) server, built with the Python SDK.
Enables LLMs to search, retrieve, and get random photos from Unsplash's extensive collection.
Provides secure filesystem access for AI models through the Model Context Protocol by enforcing strict path validation and allowing access only to predefined directories.
Implements a minimal todo application as a Model Context Protocol (MCP) server.
Generates scaffolding for Model Context Protocol (MCP) server projects.
Forwards prompts to OpenAI's ChatGPT for advanced reasoning and summarization within LangGraph-based assistants.
Enables AI assistants to interact with Unity game environments through the Model Context Protocol.
Automates interactions with Slack channels using Spring AI.
Provides LLM clients with seamless access to the 4get.ca Meta Search Engine API via FastMCP.
Provides lightning-fast, language-agnostic code analysis and search capabilities for large codebases, optimized for integration with AI and LLM tools.
Empower custom Python tools with a hot-reloadable scripting engine accessible via an MCP proxy server.
Provides comprehensive PDF manipulation capabilities, enabling direct editing, text operations, image handling, and page management through an MCP server.
Enables AI agents to deploy, monitor, and fix applications on your own servers without YAML or Kubernetes expertise.
Provides an undetectable Chrome runtime environment, specifically designed for AI agents, offering a REST API, MCP server, and VNC debugging capabilities.
Connects AI agents with browser tabs leveraging Model Context Protocol and Websockets.
Empowers AI agents with deep semantic understanding of codebases through AST processing, significantly reducing token usage and enhancing architectural comprehension.
Automates the extraction, storage, and intelligent retrieval of development insights from commit history, providing universal AI context.
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