system-brain-mcp
Queries GitHub issues and pull requests to report open backlog items.
Optionally reads Obsidian vaults for backlog and roadmap items.
Detects and cross-checks Railway deployment configurations, reporting canonical target and stray platform configs.
Queries SQLite database schemas and row counts for schema and analytics tools.
Detects Vercel configuration files and flags them as stray or leftover deploy targets.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@system-brain-mcpwhere does src/api/routes/health.ts deploy?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
system-brain-mcp
Eleven read-only MCP tools for inspecting a software workspace and returning answers tied to observable evidence. Missing or degraded evidence produces a partial result or no recommendation, never invented certainty.
Start
npx -y -p system-brain-mcp system-brain-init /path/to/codeOr from source:
git clone https://github.com/QEbellavita/system-brain-mcp
cd system-brain-mcp
npm install
node bin/init.js /path/to/codeThe initializer scans for repositories and deployment configuration, then writes a draft manifest. It leaves uncertain fields unresolved for human review.
Point an MCP client at the server:
{
"mcpServers": {
"system-brain": {
"command": "npx",
"args": ["-y", "system-brain-mcp"],
"env": {
"SYSTEM_BRAIN_DEPLOY_MANIFEST": "/path/to/deploy-targets.json",
"SYSTEM_BRAIN_FABRICATION_DIRS": "/path/to/source"
}
}
}
}Related MCP server: Engineering Intelligence MCP
Tools
Tool | Purpose |
| Compare declared and detected deployment evidence |
| Flag narrow placeholder patterns for human verification |
| Summarize accessible open work and local branches |
| Inspect configured local database structure |
| Measure a configured outcome-labeling loop |
| Inventory configured local model artifacts |
| Index configured architecture documents |
| List available reasoning lenses |
| Find open checklist items in configured notes |
| Produce evidence-linked candidate actions |
| Apply a reasoning lens to one candidate action |
All tools are read-only. They do not write to databases, repositories, or deployment targets.
Configuration
Variable | Purpose |
| Path to a reviewed deployment manifest |
| Directories eligible for static inspection |
| Local SQLite database path |
| Directories containing model artifacts |
| Architecture documents to index |
| Optional named vault paths |
| Reviewed analytics configuration |
| Reviewed work taxonomy |
The files under config/ are neutral examples only. Copy them to user-specific files and
replace every example table, label, taxonomy, and threshold before interpreting analytics.
The project intentionally does not ship a production schema or recommended operating
threshold.
brain_analytics measures labels within the configured outcome ledger. Other activity
tables are reported separately so they cannot silently change that denominator. The tool
reports incomplete evidence when a required query fails.
brain_fabrication_audit returns candidate locations, not verdicts. Read the surrounding
implementation before classifying a capability.
Tests
npm testTests use temporary files and injected command behavior. Network access and a database are not required.
Public-data boundary
Public fixtures are synthetic. Do not add customer data, real internal identifiers, production table names, operating thresholds, incident details, or exact production-shaped examples to this repository or its release archives.
Licence
MIT. See LICENSE.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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