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Connects AI assistants like GitHub Copilot to your Supabase database to understand schema, tables, relationships and assist with query writing.
Provides a playground environment for experimenting with and extending a TypeScript-based server.
Integrates with Glean's Chat API using the Model Context Protocol to enhance conversational AI capabilities.
Enables an MCP server to control a web browser for automated testing.
Enables AI assistants and development tools to interact with ServiceNow instances through a standardized Model Context Protocol (MCP) interface.
Demonstrates and tests various mechanisms of the Model Context Protocol (MCP) using its TypeScript SDK.
Automates the retrieval, analysis, and storage of GitHub pull request data using the GitHub API, MongoDB, and the FastMCP framework.
Provides an environment for exploring the Model Context Protocol.
Enables AI agents and LLM applications to send rich notifications to Discord and Slack using webhooks.
Facilitates secure execution of SSH commands on remote servers and PowerShell scripts locally, integrating with AI platforms like Claude Desktop.
Facilitates gasless micropayment-based consumption of X402-protected APIs for AI agents.
Provides a lightweight vector database implementation with Model Context Protocol (MCP) server support, optimized for local LLM applications.
Integrates AI assistants with Tubist, allowing natural language control over YouTube video playback.
Enables exposing Perl modules and tools to AI agents via a standardized JSON-RPC 2.0 server.
Scaffolds full-stack projects by generating consistent structure, Docker setups, CI/CD pipelines, and database configurations.
Facilitates building, proving, and formalizing mathematical theorems and code within the Lean 4 ecosystem using Mathlib.
Connects Model Context Protocol (MCP) clients with various AI providers and custom command-line interface (CLI) delegate tools.
Facilitates agent-initiated review workflows, allowing AI agents to submit tasks for human or AI oversight and retrieve results.
Provides persistent memory for AI agents to store, retrieve, and search knowledge across sessions using the Model Context Protocol.
Routes AI-unsolvable tasks requiring human judgment to a vetted worker pool.
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