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.
An MCP server for retrieving Markdown infrastructure documentation using local embeddings, SQLite FTS5, reciprocal rank fusion, and an Obsidian wikilink graph. This is the existing Server-Brain implementation with private paths removed; only the included fictional vault is indexed by default.
Use Python 3.11 or newer in a virtual environment.
python -m pip install -r requirements.txt
python brain_index.py --rebuild
python server.pyThe last command starts an MCP stdio server, not an interactive terminal UI.
First use downloads the public all-MiniLM-L6-v2 sentence-transformer model.
Document embeddings and the generated manifest stay in ignored .data/.
There are no paid API calls. The model is used for retrieval, not generation.
Configure an MCP client to run your virtual environment's Python executable
with the absolute path to server.py as its argument.
Related MCP server: Mortis-RAG-MCP
vault_search, get_note, get_service, get_node, whereis, backlinks,
list_services, list_nodes, get_manifest, and reindex.
Markdown -> YAML/frontmatter and heading parsing -> content hashing and incremental indexing -> normalized embeddings + FTS5 -> reciprocal rank fusion -> source paths, headings, snippets, and full-note retrieval through MCP.
The retrieval, chunking, indexing, and MCP tools come from the original project. The fictional vault, portable path defaults, containment checks, and automated public tests were added for this edition. This repository demonstrates one of the three MCP servers described in the resume, not all 32 tools.
Set SERVER_BRAIN_VAULT explicitly to an approved document directory. Remove
the generated .data/ directory before switching vaults. Never point it at
credentials, customer data, or a mixed private document store. Any connected
MCP client can read the configured vault; this local server is not a multiuser
authorization boundary. Retrieved text is untrusted input to an agent.
python -m pip install -r requirements-dev.txt
python -m pytest tests -qTests include real embedding retrieval over fictional documents and a real stdio MCP handshake. First run requires a model download.
This server cannot be deployed
Serve a folder of Markdown notes as an MCP server: hybrid search, reading, and sourced answers.
Token-efficient MCP memory for Markdown vaults. Tiered search, GraphRAG, AI memories.
Personal knowledge base MCP server with semantic search, auto-categorization, metadata extraction
Agent-native notes, tasks, dev-docs, vaults, sync & handoffs. MCP + OpenAPI dual surface.
