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Why this server?
Fetches real-time documentation for popular libraries like Langchain, Llama-Index, MCP, and OpenAI, allowing access to updated library information.
Why this server?
Enables analyzing and querying GitHub repositories through the GitHub Chat API, allowing users to ask questions about code, architecture and tech stack.
Why this server?
Enables AI assistants to perform GitHub operations including repository management, file operations, issue tracking, and pull request creation, aligning with the need for code examples and issues.
Why this server?
Enables LLMs to interact with GitHub issues by providing details as tasks, allowing for seamless integration and task management through GitHub's platform.
Why this server?
Retrieves and processes documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context.
Why this server?
Provides tools for interacting with GitHub's API through the MCP protocol, allowing users to create repositories, push content, and retrieve user information.
Why this server?
Integrates the Tavily Search API, providing optimized search capabilities for LLMs, useful for finding stories, guides, and blogs.
Why this server?
Provides web search functionality via DuckDuckGo, featuring content exploration, navigation across search results, and webpage analysis.
Why this server?
RAG Web Browser Actor. This Actor serves as a web browser for large language models (LLMs) and RAG pipelines, similar to a web search in ChatGPT.
Why this server?
Provides real-time web search capabilities to AI assistants through pluggable search providers.