data-ai MCP Server
🧠 AI-powered background code analysis agent — neural mesh networking, pattern memory, predictive engine, adversarial defense. Works with Claude Code, VS Code, any IDE. npm install @theihtisham/agent-shadow-brain
Discovered via github-topic:mcp-server and last synced 3mo ago.
Install instructions not detected yet
Check the source repository for the latest setup steps.
Search across all memory tiers
Get recent insights
Store knowledge in hierarchical memory
Trigger code analysis
Submit a proposal for agent consensus
Get self-evolution status
Description
15%
Get health score (A-F)
Get full brain status
Context-triggered associative recall
Impact
Memory compression statistics
Query knowledge graph
File
Get smart fix suggestions
Vote on a pending proposal
Get dashboard URL
10%
Propose a cross-project rule
Search collective learning rules
Semantic search in compressed memory
Complexity
Predict bug risk for files
-- Cartesian -> Polar coordinates
25%
Hierarchical Memory, Associative Recall, Multi-Agent Consensus, Collective Learning
Scan for hallucination patterns
`uncertain` ```bash shadow-brain defense status shadow-brain defense scan "This API endpoint exists at /api/v2/users" ``` **Swarm Intelligence** — Ant Colony Optimization for file prioritization. - Pheromone deposit: +3 for critical, +2 for high, +1 for medium - Evaporation: decay over time to avoid staleness ```bash shadow-brain swarm status shadow-brain swarm priorities ``` </td> <td width="50%"> ### Analytics & Prediction Layer **Knowledge Graph + PageRank** — code impact radar. - Identify high-impact files (change one, break many) - Cycle detection in dependency graphs - Entity extraction with file/line tracking ```bash shadow-brain graph build . shadow-brain graph pagerank shadow-brain graph cycles ``` **Predictive Engine** — predict bugs before they happen. - Bug risk scoring: `low`
Codename
2026-02-28
`critical` - Technical debt forecasting - Anomaly detection in change patterns ```bash shadow-brain predict bugs . ``` </td> </tr> </table> --- ## Algorithms & Research Shadow Brain v5.1.1 implements algorithms from **peer-reviewed research**:
2026-04-18
Weight
2026-04-15
`.clinerules`
Yes
25%
2026-04-01
15%
Shannon Entropy, Cosine Similarity, Bayesian Confidence
2026-03-18
`.aider.conf.yml`
Status