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Processes XLS and CSV files using a Java-based server.
Enhances large language models' context understanding and tool usage capabilities through a unified interface.
Assists quantitative researchers with AI-powered statistical analysis, covering causal inference, regression, power calculations, and code generation across 45 specialized tools.
Connects a GHL MCP server to a GHL demo sub-account.
Provides intelligent answers to questions about GitHub documentation using local LLMs and vector embeddings.
Facilitates the deployment and integration of a Model Context Protocol (MCP) server with Microsoft Copilot Studio.
Implements an MCP-compliant server for PocketBase.
Offers a standardized interface to comprehensive documentation, guides, and interactive development workflows for the Model Context Protocol.
Enhance your coding experience with Language Server Protocol (LSP) plugins for real-time diagnostics, smart completion, and improved navigation across multiple programming languages.
Provides a core server for managing application components.
Facilitates comprehensive interaction with the Tinyman Automated Market Maker protocol on the Algorand blockchain.
Enables AI assistants to perform web automation tasks through browser control.
Enables AI assistants to interact with Google Cloud Platform services, primarily for log analysis and root cause investigation.
Analyzes blockchain data to detect and classify cryptocurrency whales across multiple chains.
Provides a simple notes system for Solana documentation context within the Model Context Protocol.
Provides comprehensive file system operations, multi-format data parsing, transformation, Scriban template processing, and HTTP client operations for AI assistants.
Integrates with the GitHub API to access repository information, documentation, and file content via the Model Context Protocol.
Develops and explores AI agents built with large language models and provides a universal web interface for interaction.
Demonstrates developing and running serverless applications using the Model Context Protocol (MCP) with Netlify Functions and Express.js.
Run a personal Model Context Protocol server to share your information and enable direct communication.
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