library-mcp
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
library-mcp
A specialized "library keeper" sub-agent for the Pythia stack: ingest PDF/EPUB books, then answer questions grounded in them via local embedding search.
Two MCP servers, one shared knowledge base:
library-parse:learn(file_name)extracts, chunks, and embeds a book from a shared inbox/attachment-cache directory intoknowledge.db, classifying it as a book/article/notes deterministically (structural markers, no LLM) and extracting a real title from file metadata when present.learn_text(title, text, source_url)ingests already-extracted text (e.g. a fetched web page), the same way, minus the file-parsing step.forget(title)removes a learned book by title or partial title, refusing on zero or multiple matches rather than guessing.list_learned()lists everything in the store, including in-progress embedding jobs, with each book's doc_type.
library-keeper:ask_library(question)embeds the question, searches the shared store, and hands matches to a small local reasoning model that decides whether to answer (with citations) or search again for connected knowledge, bounded at a few attempts. The frontier model calls this once and gets one synthesized answer back. Deterministically logs a "knowledge gap" (never from parsing the model's own wording) when a question can't be confidently answered.list_knowledge_gaps()lists open gaps — questions worth adding a source for — for human review.
Both servers always talk to the same fixed local address for embeddings and reasoning — that address is set once, in a config file, and can't be changed by a book's content or by anything a user types. So there's nothing in a PDF or a chat message that could redirect this to some other server.
More on how this was actually built and debugged — including the real bugs
found along the way (a small reasoning model not following instructions
reliably, an EPUB's table of contents accidentally confusing search results,
Project Gutenberg's own licence text getting ingested and summarized as if it
were the book, a tricky container-permissions issue) — is written up in the Pythia stack's
own docs: hermes-stack/docs/architecture/library-mcp.md.
Development
python3 -m venv .venv && .venv/bin/pip install -e ".[dev]"
.venv/bin/pytestRelated MCP server: local-research-library-mcp
License
MIT.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
Related MCP Connectors
Your personal library, readable by AI agents: durable snapshots, hybrid search, 46 MCP tools.
Private, multimodal knowledge store for agents: hybrid search with cited, provenance-backed results.
Persistent memory and knowledge management for AI agents with semantic search and 50+ tools.
Configure AI agents, give them knowledge and tools, and read back every generation they run.
Related MCP Servers
- AlicenseNot gradedqualityDmaintenanceProvides AI agents with research capabilities for local Calibre e-book libraries, including fulltext search across titles, ISBNs, and comments, plus structured excerpt retrieval from books.2GPL 3.0
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to browse, search, and retrieve papers from a local research library with read-only access, supporting multiple formats and automatic indexing.2MIT
- AlicenseNot gradedqualityBmaintenanceLets coding agents index and search local PDF books, retrieve relevant passages with citations, and persist design lessons for system design and implementation tasks.1Apache 2.0
- AlicenseNot gradedqualityBmaintenanceEnables assistants to search a personal library of local documents using hybrid BM25 and embeddings, retrieve exact passages with file and page citations, and manage collections entirely on the user's own machine.MIT