Skip to main content
Glama

Brainstem

Local-first knowledge backend for AI agents.

Connect any MCP host — Claude Code, Cursor, or your own agent harness — to a personal knowledge engine: an Obsidian-compatible wiki with indexed retrieval, token-budgeted memory recall, and secure ingestion. Your agents get quality context; you keep your knowledge on your machine.

┌────────────┐   MCP (stdio/sse)   ┌───────────────────────────────┐
│ Your agent │ ◄─────────────────► │ Brainstem                     │
│ (Claude    │   27 tools          │  · search + read + write wiki │
│  Code,     │   (12 read-only)    │  · memory tree recall (BM25 + │
│  Cursor…)  │                     │    vectors, token-budgeted)   │
└────────────┘                     │  · code graph over your repos │
                                   │  · vault = plain Markdown     │
                                   └───────────────────────────────┘

Install

# Run without installing (recommended)
uvx brainstem-mcp init

# Or install
pip install brainstem-mcp
brainstem init

brainstem init creates a vault at ~/.brainstem/vault (override with --root) and prints the exact one-liner to connect your agent:

claude mcp add brainstem -- uvx brainstem-mcp mcp --root ~/.brainstem/vault

That's it. No API key is required to serve, search, and read — your agent brings its own model.

Related MCP server: memory-mcp

Docker

docker build -t brainstem .
docker run -i -v ~/.brainstem/vault:/vault brainstem            # stdio
docker run -p 8765:8765 -v ~/.brainstem/vault:/vault brainstem \
  mcp --root /vault --transport sse                             # sse

What your agent can do

  • Search & readsearch_wiki_index, read_wiki_file, cross-references, orphan detection over a plain-Markdown Obsidian-compatible vault.

  • Remember & recall — a hierarchical memory tree with BM25 + vector search and token-budgeted memory_tree_recall, built for agent context windows.

  • Write knowledge — structured pages with YAML frontmatter, index upkeep, supersession instead of duplication.

  • Understand code — ingest a repository and query its architecture (ask_repo, code-graph overview/impact) as part of your agent's context.

Read-only profile

Expose only the 12 safe read tools (no writes, no publishing):

brainstem mcp --readonly

Security posture

Brainstem treats everything it ingests as untrusted input: ingested content cannot trigger writes or publishing on its own, and outbound actions are draft-only by design. The vault is plain Markdown on your disk — no cloud, no telemetry, single-tenant by architecture.

Brainstem vs. OpenWiki

OpenWiki generates documentation that agents read as files. Brainstem is a live backend: your agent queries an indexed knowledge base through MCP tools at run time — retrieval, memory, and ingestion as part of the harness, not a batch-generated artifact.

License

MIT

A
license - permissive license
-
quality - not tested
C
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/DarkCodePE/brainstem'

If you have feedback or need assistance with the MCP directory API, please join our Discord server