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  1. Home
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  3. World Model MCP
World Model MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/6/2026, 9:47:33 PM

World Model MCP

User RatingsBe the first to rate and review this MCP server!
View Repository22 GitHub StarsTotal stargazers on GitHub for the source repository (22 stars).Visit Website
knowledge-graphauditmemorycode-analysissqlite

Local SQLite knowledge graph for AI coding agents with persistent memory, audit signing, and regression risk prediction.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ā–¾

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "saravananjaichandar-world-model-mcp": {
      "command": "uvx",
      "args": [
        "world-model-mcp"
      ]
    }
  }
}

šŸ’” Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (8) Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Overview

This MCP server provides a local SQLite-based temporal knowledge graph designed for AI coding agents. It captures decision traces, links test failures to code changes, learns co-edit patterns, predicts regression risks, and enforces constraints at edit boundaries. It optionally supports a signed audit chain for offline verifiable event signatures using a hybrid Ed25519 and SLH-DSA scheme. It supports multiple programming languages including Python, TypeScript, JavaScript, Solidity, Go, Rust, and Java.

Use cases

•Query persistent memory of codebase changes and decision traces
•Link test failures to specific code changes for debugging
•Predict regression risk based on learned co-edit patterns
•Enforce learned constraints on code edits via PreToolUse hooks
•Verify audit trails offline with cryptographic signatures

Key features

•Local SQLite knowledge graph with FTS5 full-text search
•22 MCP tools and 9 SQLite databases integrated
•Supports Python, TypeScript, JavaScript, Solidity, Go, Rust, Java
•Optional signed audit chain with FIPS 205 Ed25519 + SLH-DSA
•Offline verifiable audit evidence with included CLI verifier
•Integration with 10+ AI coding agents including Claude Code, Cursor, Cline, Windsurf

Capabilities & Tool Schemas (8) ~153 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server — may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by World Model MCP.

query_fact

Fetch a stored fact with provenance + confidence + source

record_event

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

validate_change

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

get_constraints

List all constraints matching an entity or file pattern

record_correction

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

get_related_bugs

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

Documentation Overview

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.

Latest: v0.16.2. world-model demo ends with a live notary beat: three sample decisions signed into a real hybrid-signed epoch (Ed25519 + SLH-DSA-SHA2-128f, FIPS 205), verified VALID, mutated one byte to prove tamper detection fires live (INVALID), then restored. Zero signup, zero token, zero network; drops a world-model-demo-receipt.json in the current directory and emits a copy-paste etch.systems/verify#<manifest> URL. v0.16.1 adds a graceful skip when the local liboqs build was compiled without SLH-DSA (rather than crashing the demo). Full version history in CHANGELOG.md.

Try it in 10 seconds

Terminal
pip install -U world-model-mcp && world-model demo

You will see three sample decisions signed into a tamper-evident epoch, then the demo mutates one byte and re-verifies to prove the tamper is detected instantly (INVALID), then restores and re-verifies (VALID again). Offline, no account, no network. A world-model-demo-receipt.json lands in your current directory and a shareable etch.systems/verify#… URL is printed for anyone to check the same receipt in a browser.

PyPI Downloads License: MIT Python 3.11+ world-model-mcp MCP server DOI

mcp-name: io.github.SaravananJaichandar/world-model-mcp


Prefer a managed hosted version?

If you want the same signed audit chain without running the OSS server yourself, etch.systems ships a managed variant that uses this package as its offline reference verifier.

  • No infrastructure to run (POST your first event in 30 seconds, no signup)
  • Compliance framework mapping to SR 11-7, EU AI Act Article 12, ISO 42001, NIST AI RMF, SOC 2 CC7
  • External anchoring shipped end-to-end (Sigstore Rekor + Bitcoin OpenTimestamps)
  • Portable per-agent identity with key rotation and delegation across MCP client tools (Claude Code, Cursor, Continue, Cline, Codex)
  • Offline verifier stays the same: pip install world-model-mcp && etch-verify manifest.json verifies the hosted chain against pinned public keys without depending on the hosted service being online
Terminal
curl -X POST https://etch.systems/v1/your-project

Returns a bearer token and an MCP endpoint you can point any MCP-compatible client at. Full docs at etch.systems.


FAQ

What is world-model-mcp? world-model-mcp is persistent memory plus a post-quantum-signed, offline-verifiable audit trail for AI coding agents, exposed as an MCP server the agent queries every turn. It runs entirely local, ships as MIT-licensed Python + optional adapters for 10+ AI coding agents.

How is it different from Mem0, Letta, and other agent-memory tools? world-model-mcp is the only agent-memory tool that ships a hybrid post-quantum signed audit chain (FIPS 205 Ed25519 + SLH-DSA-SHA2-128f) alongside memory, with an offline reference verifier (etch-verify) and dual external anchoring (Sigstore Rekor + Bitcoin OpenTimestamps) available via the hosted etch.systems companion. Peer tools (Mem0, Letta, agentmemory) ship memory without a signed audit chain. See the "Compared to" table below for a per-mechanism breakdown.

Is the audit trail post-quantum secure? Yes. Every closed epoch carries a hybrid signature: Ed25519 (classical) plus SLH-DSA-SHA2-128f (FIPS 205 stateless hash-based post-quantum signature). A future quantum adversary that breaks Ed25519 alone still faces the SLH-DSA signature over the same payload; both signatures must forge for the chain to be forged.

How do I verify a record offline, with no account? Run pip install -U world-model-mcp && world-model demo. The demo signs three sample decisions into a real hybrid-signed epoch, exports the same manifest format the etch-verify CLI reads, verifies VALID, mutates one byte to prove tamper detection is live (INVALID), then restores and re-verifies. A world-model-demo-receipt.json lands in your current directory and a etch.systems/verify#… URL is printed for anyone to check the receipt in a browser. Zero signup, zero network.

Which AI coding agents does it work with? Claude Code, Cursor, Codex, Continue, Cline, Windsurf, GitHub Copilot Chat, pi, OpenClaw, and Hermes Agent. Each has a dedicated starter repo under github.com/SaravananJaichandar/world-model-mcp-<agent>-starter. The MCP wire format is standard, so any MCP-capable client can consume the same tools.

Should I use this OSS package or the hosted etch.systems service? Use this OSS package (MIT-licensed, fully local) if you want to run the audit chain on your own infrastructure or add signed memory to an internal tool. Use etch.systems if you want the same audit chain shipped as a managed service with compliance framework mapping (SR 11-7, EU AI Act Article 12, ISO 42001, NIST AI RMF, SOC 2 CC7) and portable per-agent identity across MCP client tools. The offline reference verifier is the same in both cases: pip install world-model-mcp && etch-verify manifest.json verifies either an OSS-generated or a hosted-generated manifest against pinned public keys.


Compared to other agent-memory + agent-audit projects

Head-to-head positioning against eight named peers on the audit / signing / anchoring dimensions the agent-memory space is converging on. Every world-model-mcp cell carries a provenance flag: own = measured / observed in the shipped product; cited = pulled from the competitor's own public landing, repo, or press.

Source of truth for this table lives in the hosted service repo: world-model-mcp-hosted/src/etch/competitor_matrix.py. Update in both places if you change either.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
22
Stargazers on the source repository.
npm downloads
37
Package downloads in the last 30 days.
Last commit
1mo ago
Most recent push to the default branch.
Tools exposed
8
Callable tools this server registers over MCP.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about World Model MCP

It supports Python, TypeScript, JavaScript, Solidity, Go, Rust, and Java.

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Technical Specs & Signals

Category🧠Knowledge & Memory
PricingFree
More technical detailsExpand ā–¾
TransportSTDIO
RuntimePython
AuthNo auth required
LicenseMIT
ClientsClaude Desktop, Cursor, Cline / VS Code, Windsurf
Last updatedAug 9, 2026
2/4 checks healthy over the last 32d
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars22
GitHub Star CountTotal stargazers on GitHub representing community popularity (22 stars).
Last commit1mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 2, 2026
npm downloads37/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
63Quality signal: Good Ā· 63/100How this signal is calculated ā–¾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools30/30
Adoption & activity7/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 26d ago via OSV.dev Ā· world-model-mcp (PyPI)

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