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World Model Mcp

saravananjaichandar/world-model-mcp

A temporal knowledge graph that sits between your coding agent and your codebase to enforce constraints and prevent regressions. It validates API references before the agent calls them, learns from your corrections across sessions, and re-injects top constraints after context window compaction. The 26 MCP tools cover constraint management, contradiction resolution with confidence weighting, and compaction audit logs. Runs over stdio or HTTP, works with Claude Code, Cursor, and pi. The setup command auto-seeds the graph from your existing code, and the AGENTS.md reader pulls conventions from declarative markdown files alongside the SQLite store. Reach for this when you want long-term memory that survives context resets and stops your agent from repeating the same hallucinated function calls.

GitHub stars: 24
tools: 8
auth: Secret needed
transport: STDIO
env vars: 4
last updated: Jul 24, 2026

Tools

8 tools

Public tool metadata for what this MCP can expose to an agent.

query_factFetch a stored fact with provenance + confidence + source

Fetch a stored fact with provenance + confidence + source

No parameter schema in public metadata yet.

record_eventAppend an event to the audit chain (`event_type` from a fixed enum)

Append an event to the audit chain (`event_type` from a fixed enum)

No parameter schema in public metadata yet.

validate_changeCheck a code-change proposal against learned constraints, returns violations + suggestions

Check a code-change proposal against learned constraints, returns violations + suggestions

No parameter schema in public metadata yet.

get_constraintsList all constraints matching an entity or file pattern

List all constraints matching an entity or file pattern

No parameter schema in public metadata yet.

record_correctionStore a user correction so it re-surfaces on next relevant query

Store a user correction so it re-surfaces on next relevant query

No parameter schema in public metadata yet.

get_related_bugsFetch bugs touching the given files + a per-file risk score

Fetch bugs touching the given files + a per-file risk score

No parameter schema in public metadata yet.

seed_projectBulk-ingest an existing codebase into the knowledge graph

Bulk-ingest an existing codebase into the knowledge graph

No parameter schema in public metadata yet.

ingest_pr_reviewsTurn recent PR review comments into constraints

Turn recent PR review comments into constraints

No parameter schema in public metadata yet.

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Configuration

WORLD_MODEL_DB_PATHdefault: ./.claude/world-model/

Database location

ANTHROPIC_API_KEYsecret

Optional - enables LLM-powered entity extraction

WORLD_MODEL_EXTRACTION_MODELdefault: claude-3-haiku-20240307

Model for entity extraction

WORLD_MODEL_REASONING_MODELdefault: claude-3-5-sonnet-20241022

Model for complex reasoning

Readme

World Model MCP

Persistent memory + optional signed audit for AI coding agents.

world-model-mcp is persistent memory plus a post-quantum-signed, offline-verifiable audit trail for AI coding agents (FIPS 205 hybrid Ed25519 + SLH-DSA), MIT-licensed and fully local.

world-model-mcp ships a local SQLite knowledge graph your agent queries every turn: hallucinations become verifiable, corrections stick across sessions, and regressions get caught before they land. Flip on the audit chain and every event is signed with FIPS 205 hybrid Ed25519 + SLH-DSA, verifiable offline forever. MIT-licensed, runs entirely local, works with 10+ AI coding agents including Claude Code, Cursor, Codex, Continue, Cline, Windsurf, GitHub Copilot Chat, pi, OpenClaw, and Hermes Agent.

View the full README on GitHub

Details

Repository: github.com/saravananjaichandar/world-model-mcp
Categories: Documents & Knowledge, Automation & Workflows
Package: world-model-mcp
Transport: STDIO
Auth: Required
Registry: MCP registry, active

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