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Provides access to Contentful's Delivery API through natural language queries, enabling AI assistants to retrieve and manage content seamlessly.
Integrates Scraper.is with the Model Context Protocol (MCP) for web scraping capabilities in AI assistants.
Manages and executes tasks in a queue-based system using Cloudflare Workers.
Provides Git operations through the Model Context Protocol (MCP).
Provides time-related capabilities to LLMs, enabling access to current time information and timezone conversions.
Provides a standardized interface for data preprocessing, transformation, and analysis tasks within the Model Context Protocol ecosystem.
Implements a reference authorization server based on the draft MCP OAuth 2.1 specification.
Extends AI assistants' knowledge by processing private documents and codebases into a searchable database.
Facilitates code review and implementation planning using large language models by providing them with extensive code context.
Provides an MCP server implementation in Elixir.
Enables AI assistants to interact with Thales CipherTrust Manager resources through the Model Context Protocol (MCP).
Establishes a connection between artificial intelligence tools and the Dovetail API.
Provides a standardized interface for SQLite database interactions, enabling schema introspection, query execution, and database modifications.
Provides a server for the TianGong LCA Model Context Protocol, supporting both STDIO and Streamable HTTP communication methods.
Integrates Google Gemini AI capabilities directly into the Warp terminal, enabling conversational AI, multi-turn dialogues, and intelligent code analysis.
Exposes Flowbite-Svelte documentation and component information to large language models via Model Context Protocol (MCP).
Provides an MCP server to integrate Yandex Tracker and Wiki with MCP-capable clients.
Provides a Model Context Protocol (MCP) server for accessing the KEGG database, integrated with LangChain for LLM utilization.
Provides a read-only Model Context Protocol (MCP) server for Freqtrade codebase introspection, empowering LLMs to generate more accurate and reliable trading strategies.
Unifies, debugs, and secures AI agent cognitive state across diverse frameworks, ensuring seamless memory portability.
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