MCP server for local semantic retrieval over a library of ebooks, using pplx-embed-context-v1 embeddings stored in Qdrant, enabling an LLM agent like Gemma 4 to search and retrieve relevant passages for answering questions.
Partial audit · 2/5 dimensions · Audit v1-github · today · imported from glama ai
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MCP server for local semantic retrieval over a library of ebooks, using pplx-embed-context-v1 embeddings stored in Qdrant, enabling an LLM agent like Gemma 4 to search and retrieve relevant passages for answering questions.
Yes, scholar-mcp is completely free to use with no usage limits on the free tier.
scholar-mcp is listed under the search category in the AgentForge MCP registry.
scholar-mcp has a current uptime of 99.9% with an average response time of 0ms.
To connect scholar-mcp, click the "Connect Agent" button on this page to get the configuration snippet. Add it to your MCP client (Claude Desktop, Cursor, or any MCP-compatible tool). Your AI agent will then have access to all of scholar-mcp's tools via the Model Context Protocol.