io.github.SaravananJaichandar/world-model-mcp

world-model-mcp

Temporal knowledge graph for codebases with constraint enforcement at the edit boundary.

11 1 tool GitHub PyPI

No known CVEs

No license

Actively maintained

Last commit 0d ago

Works with most clients

Transport: stdio, sse, http

1 tool · ~90 tok

Grade A · 0.0% of 200K ctx

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Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "io-github-saravananjaichandar-world-model-mcp": {
      "args": [
        "world-model-mcp"
      ],
      "command": "uvx"
    }
  }
}

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What io.github.SaravananJaichandar/world-model-mcp does

Enforcement, provenance, and harness-neutral memory for AI coding agents. A temporal knowledge graph that validates code changes against learned constraints at the edit boundary, re-injects relevant context after compaction, tracks contradictions with confidence-weighted resolution, and runs across Claude Code and Cursor.

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

uvx 'world-model-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

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Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

87/100across 5 weighted dimensions

How we score →

0255075100

−13

Security

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Security

OSV.dev

No known CVEs.

Checked world-model-mcp against OSV.dev.

Inventory

Tools (1)

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~90 tokens total

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Frequently Asked Questions

Is io.github.SaravananJaichandar/world-model-mcp safe to use?: io.github.SaravananJaichandar/world-model-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.SaravananJaichandar/world-model-mcp?: io.github.SaravananJaichandar/world-model-mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can io.github.SaravananJaichandar/world-model-mcp do?: io.github.SaravananJaichandar/world-model-mcp provides 1 tool: resolve_contradiction. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.SaravananJaichandar/world-model-mcp?: io.github.SaravananJaichandar/world-model-mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is io.github.SaravananJaichandar/world-model-mcp actively maintained?: io.github.SaravananJaichandar/world-model-mcp is actively maintained — last commit was 0 days ago. It has 11 GitHub stars.

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Has anyone used this with Cursor?How do you handle auth?Any alternatives?

World Model MCP

Enforcement, provenance, and harness-neutral memory for AI coding agents. A temporal knowledge graph that validates code changes against learned constraints at the edit boundary, re-injects relevant context after compaction, tracks contradictions with confidence-weighted resolution, and runs across Claude Code, Cursor, Codex, pi, OpenClaw, Hermes Agent, and Continue.

Status: v0.10.0 — 27 MCP tools, 22 CLI subcommands, 417 tests, SWE-bench Verified repeat-mistake benchmark with a pre-registered methodology and a multi-seed replication appendix. v0.10.0 extends the harness-neutral memory story from four runtimes (Claude Code + Cursor + Codex + pi) to seven with three new adapters shipping in one release: OpenClaw (install-openclaw), Hermes Agent (install-hermes), and Continue (install-continue). Each is verified end-to-end against the live runtime where possible: OpenClaw 2026.6.11 reports 27 tools via openclaw mcp probe world-model; Hermes v0.17.0 reports 27 tools via hermes mcp test world-model while preserving all 1327 lines of the reference config.yaml including every documentation comment (regression-tested); Continue's exact stdio spawn returns 27 tools via a live tools/list roundtrip. Runtimes with no native memory layer (OpenClaw, Continue) get world-model-mcp as pure additive integration; Hermes' bounded manual-curation memory (MEMORY.md + USER.md, character-capped, no auto-decay per Hermes docs) is complemented additively by world-model-mcp's per-fact provenance and per-evidence-type decay. v0.9.2 shipped the multi-seed replication appendix per pre-registered SEED_PLAN.md: on the 17-instance subset, load-bearing replication count is 0 of 7, mean paired delta across two seeds is +0.24 per instance with bootstrap 95 percent CI [0.00, 0.47]. The v0.9 +10.2 pts headline reads as a single-trial upper bound; the wedge claims (lifecycle-hook capture, per-fact provenance, per-evidence-type decay, PreToolUse defer) survive the multi-seed update because they are architectural, not empirical. Full appendix and per-instance results in benchmarks/repeat-mistake/RESULTS.md. v0.9.1 restored the embedded telemetry token after a release-mechanics miss in v0.9.0. v0.9.0 shipped the empirical wedge proof. v0.8.1 expanded the contradiction-resolution benchmark to 105 pairs across 19 categories. v0.8.0 added domain-aware confidence decay with per-evidence-type TTL, per-item provenance fields source_tool and confirmer, slash command write operations, and a confirmer parameter on resolve_contradiction. Antigravity adapter held pending a TransformCompactionHook in the SDK. v0.7.6 added the /world-model slash command and status-watch TUI widget. v0.7.5 added the Codex CLI adapter. v0.7.0 introduced PostCompact auto-injection, the defer enforcement tier, confidence-weighted contradiction resolution, and a compaction audit log. Contributions welcome.

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

If world-model-mcp helped you, star the repo or open an issue with what worked or didn't. I read every one and the feedback shapes what ships next.

Frequently Asked Questions

Is io.github.SaravananJaichandar/world-model-mcp safe to use?

io.github.SaravananJaichandar/world-model-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.SaravananJaichandar/world-model-mcp?

io.github.SaravananJaichandar/world-model-mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What can io.github.SaravananJaichandar/world-model-mcp do?

io.github.SaravananJaichandar/world-model-mcp provides 1 tool: resolve_contradiction. See the full tools list on the server page for descriptions and parameters.

What AI clients work with io.github.SaravananJaichandar/world-model-mcp?

io.github.SaravananJaichandar/world-model-mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.

Is io.github.SaravananJaichandar/world-model-mcp actively maintained?

io.github.SaravananJaichandar/world-model-mcp is actively maintained — last commit was 0 days ago. It has 11 GitHub stars.

World Model MCP

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

If world-model-mcp helped you, star the repo or open an issue with what worked or didn't. I read every one and the feedback shapes what ships next.

io.github.SaravananJaichandar/world-model-mcp

Install in your client