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MCP server · Science

Openclaude MCP

FastMCP 3.2 server plus Webapp for using the leaked Claude Code locally with ollama and open weight models. Kairos and cat included

34Low

Scored 6 months ago · breakdown

About Openclaude MCP

Openclaude MCP is an MCP server in the Science category: fastMCP 3.2 server plus Webapp for using the leaked Claude Code locally with ollama and open weight models. Kairos and cat included.

Install

From source
git clone https://github.com/sandraschi/openclaude-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (16)

caregiver_alert[KID-SAFE] Notify caregivers of high-risk interaction

Parameters not published.

fleet_dashboardPrefab UI fleet status overview

Parameters not published.

fleet_statusRaw fleet status JSON

Parameters not published.

kairos_disableHalt background memory consolidation

Parameters not published.

kairos_enableActivate background memory consolidation

Parameters not published.

kairos_logRetrieve KAIROS consolidation log

Parameters not published.

list_modelsInventory of available Ollama models

Parameters not published.

list_sessionsList all active sessions

Parameters not published.

model_statusCheck VRAM and load status

Parameters not published.

send_multimodalSend text + images to a session (png, jpeg, webp, gif)

Parameters not published.

Show all 16 tools
send_promptExecute a prompt in an active session

Parameters not published.

session_statusGet output/status/usage/elapsed of a session

Parameters not published.

set_default_modelSet default model for new sessions

Parameters not published.

start_sessionInitialize a new Ollama session

Parameters not published.

stop_sessionStop and clean up a session

Parameters not published.

ultraplanHybrid cloud/local planning cycle

Parameters not published.

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Security checks

  • ✓README presentThe repository ships documentation.

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README

OpenClaude MCP Server

FastMCP Version Ruff Linted with Biome Built with Just

A high-performance control plane for Ollama-based local LLM sessions and background memory consolidation. Optimized for RTX 4090 environments and large-context model orchestration.

🚀 What is this?

If you need a reliable way to manage local LLM sessions, monitor VRAM usage, and maintain a structured memory between tasks without manual overhead—this is for you.

  • Background Memory (KAIROS): Automatically consolidates session data into a persistent MEMORY.md using asynchronous background cycles.
  • Ollama Control Plane: Comprehensive toolset for model management, health checks, and high-speed local inference.
  • Hybrid Planning (ULTRAPLAN): Optional handoff to Claude Opus for complex reasoning, while maintaining 100% local tool execution.
  • Fleet Observability: Integrated React dashboard for real-time monitoring of sessions, models, and memory status.

Quick Start

# Install dependencies
.\setup.ps1

# Start the MCP server + webapp
.\start.ps1
  • SSE Endpoint: http://localhost:10932/sse
  • Fleet Dashboard: http://localhost:10933
  • Health API: http://localhost:10932/api/health

Available Tools

Tool Action
start_session Initialize a new Ollama session
send_prompt Execute a prompt in an active session
kairos_enable Activate background memory consolidation
kairos_disable Halt background memory consolidation
list_models Inventory of available Ollama models
model_status Check VRAM and load status
ultraplan Hybrid cloud/local planning cycle
fleet_status Global health of the instance

Architecture

OpenClaude operates as a unified REST bridge for FastMCP, providing a robust integration layer between local LLM runtimes and agentic workflows. It is hardened for Windows environments with UV dependency management and subprocess isolation.

Prerequisites

  • Ollama (running locally)
  • Node.js (v20+)
  • Python 3.13+ with uv
  • Local model pulled (e.g., gemma2, llama3.3)

🛡️ 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.

License

MIT

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Openclaude MCP

How do I install Openclaude MCP?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Openclaude MCP safe to use with an AI agent?

Its trust score is 34 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Openclaude MCP still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.