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sandraschi

clawd-mcp

by sandraschi
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Python
Local

openclaw-molt-mcp

MCP server + webapp that bridge Cursor and Claude Desktop to OpenClaw and Moltbook. openclaw-molt-mcp uses those platforms (Gateway, APIs); it does not implement or replace them. Alpha. Ingest for LLMs: gitingest.com/sandraschi/openclaw-molt-mcp.

What this repo is

Part

What it does

MCP server (stdio)

FastMCP 3.1.0+ tools: agent, sessions, channels, routing, skills, gateway, security, moltbook. For Cursor/Claude Desktop.

Webapp (React + Vite + Tailwind)

Dashboard on port 10744: Startpage, AI (Ollama), Channels, Routes, Diagram, Statistics, Moltbook, Integrations, Clawnews, Skills, Security, Generate landing (landing-site generator), Settings.

webapp_api (FastAPI)

Backend on 10745: /api/ask, /api/gateway/status, /api/skills, /api/clawnews, /api/ollama/*, /api/channels, /api/routing, /api/openclaw/status, /api/landing-page.

One place to run agents, manage channels/routes/skills, and use Moltbook; OpenClaw and Moltbook stay separate.

Related MCP server: mcacp

Quick Start

git clone https://github.com/sandraschi/openclaw-molt-mcp
cd openclaw-molt-mcp
just

This opens an interactive dashboard showing all available commands. Run just bootstrap to install dependencies, then just serve or just dev to start.

Manual Setup

If you don't have just installed:

Install & run

Clone-based or MCPB Bundle. See INSTALL.md for: clone repo, install from source, MCP only or webapp (API + frontend), one-shot scripts, config, logging, checks.

  • MCPB: A standard openclaw-molt-mcp.mcpb bundle is available for one-click import into compliant clients.

Repo layout

  • src/openclaw_molt_mcp/ MCP server and tools

  • webapp/ React dashboard (port 10744)

  • webapp_api/ FastAPI backend (port 10745)

  • scripts/ install.ps1, install.bat, start.ps1, start.bat, check.ps1, serve_logs.ps1, mcpb-build.ps1

  • snippets/ MCP config snippet (snippets/mcp-config-openclaw-molt-mcp.json); see INSTALL.md and mcp-central-docs pattern

Architecture data flow, MCP vs API.

Docs

Doc

Description

LICENSE

MIT license

CONTRIBUTING.md

How to contribute

INSTALL.md

Install, run, config, checks

docs/README.md

Documentation index

docs/ONBOARDING.md

First-timer: OpenClaw + Moltbook accounts/keys

docs/CONFIGURATION.md

Env vars and config

docs/TOOLS.md

MCP tool reference

docs/DEVELOPMENT.md

Dev setup and quality gates

docs/TROUBLESHOOTING.md

Symptom → fix

docs/README_WEBAPP.md

Webapp pages, API, Logger

docs/README_openclaw_molt_mcp_TOOLS.md

MCP tools (narrative)

docs/README_OPENCLAW.md

OpenClaw (external)

docs/README_MOLTBOOK.md

Moltbook (external)

docs/HOW_THIS_WAS_MADE.md

How this was made (vibecode, Cursor, one day)

SECURITY.md

Threats, hardening

Security

OpenClaw has major security risks. Use clawd_security; prefer VM and loopback. SECURITY.md, docs/SECURITY_HARDENING.md.

Repo manifests (LLM scrapers)

File

Triggers

Purpose

glama.json

Glama GitHub scraper

MCP server listing: claim ownership, metadata, Docker, usage. Requires $schema + maintainers (GitHub usernames). Re-run claim flow on Glama after changes.

llms.txt

Gitingest, llmstxt.org

LLM-friendly manifest: H1 + blockquote summary + ## sections with links. Improves repo ingestion for LLMs (e.g. gitingest.com/sandraschi/openclaw-molt-mcp).

Other scrapers: no extra files needed. Gitingest ingests the repo (replace github.com with gitingest.com in the repo URL); llms.txt gives it a curated entry point. Glama is the main MCP-directory scraper that uses glama.json; others (e.g. Cursors MCP discovery) may crawl GitHub without a manifest.

References

This README is formatted to render well on the GitHub repo page (pretty-printed).

Installation

Prerequisites

  • uv installed (RECOMMENDED)

  • Python 3.12+

Quick Start

Run immediately via uvx:

uvx openclaw-molt-mcp

Claude Desktop Integration

Add to your claude_desktop_config.json:

"mcpServers": {
  "openclaw-molt-mcp": {
    "command": "uv",
    "args": ["--directory", "D:/Dev/repos/openclaw-molt-mcp", "run", "openclaw-molt-mcp"]
  }
}

🛡️ Industrial Quality Stack

This project adheres to SOTA 14.1 industrial standards for high-fidelity agentic orchestration:

  • Python (Core): Ruff for linting and formatting. Zero-tolerance for print statements in core handlers (T201).

  • Webapp (UI): Biome for sub-millisecond linting. Strict noConsoleLog enforcement.

  • Protocol Compliance: Hardened stdout/stderr isolation to ensure crash-resistant JSON-RPC communication.

  • Automation: Justfile recipes for all fleet operations (just lint, just fix, just dev).

  • Security: Automated audits via bandit and safety.

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

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