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Bridges Language Server Protocol (LSP) servers with Model Context Protocol (MCP) clients, enabling LLMs to leverage LSP features.
Provides programmatic control over system operations including mouse, keyboard, window management, and screen capture functionality.
Provides safe, read-only access to SQLite databases for exploration and querying by Large Language Models (LLMs).
Connects Large Language Models to GIS operations, enabling AI assistants to perform geospatial tasks.
Connect to Miro Whiteboard Application and enable board manipulation and data extraction.
Automates Windows desktop tasks using AutoIt functions and the Model Context Protocol (MCP).
Provides example implementations for building agentic AI solutions with AWS, utilizing the Model Context Protocol.
Automates Facebook page interactions, including posting, comment moderation, insights gathering, and sentiment filtering via the Facebook Graph API.
Enables Language Models (LLMs) to seamlessly connect to and retrieve data from various databases through a unified API.
Implements a local, API-free web search for retrieval-augmented generation (RAG) using the Model Context Protocol (MCP).
Enables AI agents to interact with Webflow using the Model Context Protocol (MCP) and the Webflow JavaScript SDK.
Enables LLMs to search and retrieve academic paper information from Semantic Scholar and Crossref.
Analyzes Next.js app directory structures to help LLMs understand API routes.
Executes MySQL database queries and streams the results via Server-Sent Events (SSE).
Enables integration with MiniMax's AI capabilities, including image, video, and audio generation, via the Model Context Protocol (MCP).
Integrates Anki with AI assistants, enabling natural language interaction for enhanced spaced repetition learning.
Executes and debugs AI agent workflows with Dockerized tools directly within VS Code.
Enables AI assistants to securely interact with Reddit and demonstrate the full Model Context Protocol specification.
Scans code repositories locally for secrets, Infrastructure as Code misconfigurations, software composition analysis vulnerabilities, and static application security testing issues.
Empowers AI assistants to interact with Power BI datasets using natural language.
Enables secure terminal command execution, directory navigation, and file system operations through a standardized interface.
Provides an all-in-one Model Context Protocol (MCP) server with AI search, RAG, and integrations for services like GitLab, Jira, and Confluence.
Searches for jobs based on user-defined criteria and provides detailed information.
Serves Go documentation efficiently to LLMs via the Model Context Protocol, reducing token usage and improving project understanding.
Offers a comprehensive collection of LangGraph implementations, tutorials, and advanced AI workflows.
Dynamically creates and manages Model Context Protocol (MCP) servers as child processes, enabling a flexible MCP ecosystem.
Provides AI coding assistants with persistent, cognitive memory of specific codebases, enabling long-term learning and recall across sessions.
Supercharge AI assistants with a suite of software development tools, including code generation, refactoring, and project planning.
Enables AI agents to explore Rust crate documentation, analyze source code, and confidently build Rust projects.
Executes code and configurations from Large Language Models (LLMs) in secure, isolated Docker containers.
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