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Automates browser interactions using a Model Context Protocol based server that integrates with Claude Desktop.
Enables interaction with various large language models via the Model Context Protocol (MCP).
Enables AI agents to interact with Canvas LMS for querying courses and resources.
Processes unstructured documents to enable LLMs to extract and utilize their content.
Enables integration of Raindrop.io bookmark management with LLM applications through an MCP server.
Trains a linear regression model from a CSV file using Claude and the Model Context Protocol (MCP).
Provides optimized access to Windows Subsystem for Linux (WSL) files from Windows.
Enables running Microsoft's MarkItDown MCP server without Docker, providing document conversion to Markdown.
Provides programmatic access to Rust crate documentation and item-level details from docs.rs via the rustdoc JSON API.
Enables collaborative team use of Claude Code by integrating it directly into Slack.
Enables listing and terminating operating system processes across platforms using natural language queries.
Provides a local-first TypeScript server for Qdrant, enabling multi-client isolation, LM Studio integration, and scalable document workflows for RAG systems.
Provides AI assistants with access to editor Local History for AI-powered data recovery and enhanced context awareness.
Streamlines Docker operations with a unified interface and extensive CLI aliases.
Enables AI clients to interact with Graphisoft Archicad by running a server for its Tapir add-on.
Provides Claude with seamless, multi-source access to local markdown documentation via the Model Context Protocol.
Enables AI assistants to interact with Fizzy project management data through the Model Context Protocol.
Provides a Model Context Protocol (MCP) server to facilitate various openEHR-related tasks and API interactions for end-users.
Connects macOS Mail to AI assistants, enabling direct email analysis and retrieval without manual exports.
Provide AI assistants with real-time insights into production environments for enhanced debugging and monitoring.
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