MCP server — Laeka Brain cognitive layer for Claude Code
Project description
laeka-brain
A cognitive layer for the AI you already use.
This MCP server connects your Claude Code environment to Laeka Brain — the OmniQ protocol made available through six tools. It is a context provider. It does not call an LLM. It does not store your conversations. It returns context that Claude uses natively.
What it is
Six tools, added to Claude Code via a single entry in ~/.claude/.mcp.json:
query— ask what Laeka Brain says about a concept or questionreflect— share a situation; Brain holds the mirror and asks the question you haven't asked yourselfconsolidate— save a session insight to your personal mini-brainrecall— semantic search across your personal mini-brain — find patterns and insights by natural language querylist_brain_skills— browse the skill marketplace of an auxiliary brain (default: laeka-code)get_brain_skill— retrieve and apply a specific skill by name (e.g.systematic-debugging,verification-before-completion)
The four OmniQ lenses — MONADE, SYMBIOTE, ARCHITECT, EMPATH — operate through all six tools. You will feel them before you name them.
v0.2.2 — Honest 403 on subscription_required
v0.2.2: MCP tools now report subscription_required clearly on 403 instead of a generic "store unavailable" message. list_brain_skills and get_brain_skill both return {"error": "subscription_required", "message": "...", "status": 403} with an actionable upgrade link when the brain requires a paid addon.
v0.2.1 — X-User-UUID header on brain skills calls
v0.2.1 passes the X-User-UUID header on list_brain_skills and get_brain_skill calls for tier-gated access compatibility. Users on paid tiers no longer receive 403 when accessing auxiliary brain skills.
v0.2.0 — brain skills marketplace
v0.2.0 adds two new tools (list_brain_skills, get_brain_skill) that expose the Laeka Code skill marketplace — 28 rebranded engineering protocols available directly in Claude Code. Query, list, and apply skills from auxiliary brains like Laeka Code.
How to install
Requirements: Python 3.12+, Claude Code.
pip install laeka-brain
Or without installing permanently:
uvx laeka-brain
How to configure
Add this to ~/.claude/.mcp.json:
{
"mcpServers": {
"laeka-brain": {
"command": "laeka-brain",
"env": {
"LAEKA_BRAIN_API_URL": "http://172.105.0.134:8822"
}
}
}
}
If you installed via uvx, replace "command" with "uvx laeka-brain" or use the full uvx path.
Environment variables:
| Variable | Default | Description |
|---|---|---|
LAEKA_BRAIN_API_URL |
http://172.105.0.134:8822 |
Seahorse API base URL |
XDG_CONFIG_HOME |
~/.config |
Override config dir location |
Your user_uuid is generated on first run and stored at ~/.config/laeka-brain/user_uuid. It is the key to your personal mini-brain. Keep it — it cannot be recovered if lost.
The 4 tools
query
Ask what Laeka Brain says about something.
Use query with question="What does the ARCHITECT lens say about naming things in code?"
Returns the canonical Brain context framed around your question. Claude uses it as a cognitive lens — no LLM call happens inside this server.
reflect
Share a situation. Brain holds the mirror.
Use reflect with situation="I've rewritten this module three times and I still don't like it."
Returns the canonical context plus a mirror directive. Claude applies the four lenses and asks the question that helps you see what you're not seeing. No advice. Just the mirror.
consolidate
Persist a session insight to your mini-brain.
Use consolidate with text="Discovered that my naming friction is really a module boundary problem."
Stores the text as a pattern_observation in your personal memory cell. If your mini-brain doesn't exist yet, it is provisioned automatically.
recall
Semantic search across your personal mini-brain.
Use recall with query="What did I learn about naming last week?"
Searches your stored patterns using vector similarity and returns the top matches ranked by relevance score. Each result shows the text snippet (up to 200 chars), sector, doc type, and creation date.
If the search endpoint is not yet available, returns your chunk count as a fallback so you always know where you stand.
How to leave
If you want to remove Laeka Brain from your environment:
- Remove the
laeka-brainentry from~/.claude/.mcp.json. - Delete your local config:
rm -rf ~/.config/laeka-brain - Optionally, destroy your mini-brain on the server:
curl -X POST http://172.105.0.134:8822/v1/brain/mini/offboard \
-H "Content-Type: application/json" \
-d "{\"user_uuid\": \"$(cat ~/.config/laeka-brain/user_uuid)\", \"confirm\": true}"
This destroys your private chunks permanently. Patterns that were anonymized and contributed to the collective remain as collective learning — they are not yours anymore, and they are not reversible.
No cron jobs. No daemons. No leftover files beyond ~/.config/laeka-brain/ (which you just deleted).
Built with gratitude for Anthropic's foundational work. Laeka Brain is an extension that amplifies Claude Code — not a competitor, not a replacement.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file laeka_brain-0.2.2.tar.gz.
File metadata
- Download URL: laeka_brain-0.2.2.tar.gz
- Upload date:
- Size: 16.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
96352fbdacc6ab3a8d3987828396f0c9feb4ea45d85260a3fd38acd2a7a4b145
|
|
| MD5 |
74ca5536e7c3a1a16a05910f3f763b33
|
|
| BLAKE2b-256 |
ae95dc2e884ac2328f4ab66e92c9fb875ce49d45172d95ceeea21778c9c72dd5
|
File details
Details for the file laeka_brain-0.2.2-py3-none-any.whl.
File metadata
- Download URL: laeka_brain-0.2.2-py3-none-any.whl
- Upload date:
- Size: 13.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
493dbf11d1dc2f34394ac026c82b075f9f302b002e8e0a933211ea71a7737717
|
|
| MD5 |
3ff637c2b094c9d3624b1b1ad4326754
|
|
| BLAKE2b-256 |
58b9d68e50b2fc4f1530564f6ad5e4b7befd090f13444948d660dcb0495e2100
|