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Locates files within a specified directory based on a given path fragment.
Provides intelligent memory management capabilities using Qdrant vector database for semantic search and storage.
Enables AI assistants to access and analyze Mixpanel analytics data comprehensively.
Implements a simple Model Context Protocol (MCP) server over stdio.
Facilitates human review of AI-generated plans using a web-based interface designed to mimic a merge request experience.
Provides a minimal FastAPI service exposing discoverable tools with execution capabilities for integration in local, Docker, or VPS environments.
Dynamically connects AI agents to a vast array of automation and scraping tools via the Model Context Protocol.
Provides real-time access to comprehensive LangChain documentation, API references, and code examples through a FastAPI-based server.
Provides AI developers with seamless access to Chainlink's decentralized oracle network services across various blockchain ecosystems.
Exposes OnCrawl's API to enable Claude Code and Desktop to perform deep technical SEO analysis.
Provides an MCP server for executing Python and C++ code within the CERN ROOT framework.
Provides real-time weather information and forecasts via an AI-powered conversational interface, integrating OpenAI's GPT model with a Model Context Protocol server.
Integrate Google's Gemini AI models with Claude through the Model Context Protocol.
Provides comprehensive documentation and insights for AWS AgentCore to GenAI tools, enabling the development of production-ready AI agents.
Integrates Claude AI with the Kaggle API, enabling competition, dataset, and kernel operations directly through the AI interface.
Integrates Jira and GitLab to enable AI agents to manage issues and branches across both platforms.
Enables AI tooling to seamlessly connect with ROS2 nodes, topics, and services using the Model Context Protocol over stdio.
Provides AI agents with simplified, structured access to curated Axiom log queries.
Manages and summarizes notes within a Model Context Protocol (MCP) server environment.
Analyzes code files and modules to identify relevant WCAG Success Criteria for developers and QA teams.
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