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Search and read curated Agent Wikis documents with confidence-aware retrieval.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "agentwikis-mcp" yet — see the docs or source repo.
First list the available knowledge bases, then search for documents related to "RAG system evaluation metrics". Return the 3 most relevant results with each document's confidence flag and a short summary.
A list of available knowledge bases plus 3 relevant documents with titles, summaries, and confidence flags for quick review.
Search for "API authentication best practices", read the most relevant document in full, and summarize the key principles, common risks, and implementation recommendations in Chinese.
The full document or key excerpts, followed by a structured Chinese summary of the main takeaways.
Search for "vector database indexing strategies", compare the top 5 results by topical relevance and confidence flags, keep only high-confidence content, and turn it into a bullet list.
A bullet-point brief compiled from high-confidence documents, reducing the risk of using unreliable information.
Query and ingest document-based wiki knowledge bases using natural language.
Search, question, and explore a local wiki with knowledge mapping.
Enable AI agents to search, read, and update a local Markdown wiki.
Enable AI agents to search the web and extract useful page content.
Shared project wiki for AI agents to manage pages, actions, and logs.
Search, read, and analyze wiki content with graph and vector tools.