Self-Evolving MCP Brain

Self-Evolving MCP Brain

A self-updating MCP system that analyzes design and code inputs with an LLM, refines them through conversation, and crystallizes approved patterns into a local skill library for MCP agents.

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README

Self-Evolving MCP Brain

A self-updating MCP (Model Context Protocol) system: analyze design/code inputs with an LLM, converse to refine them, then crystallize approved patterns into a local skill library that MCP agents can read.

Components

File Role Port
mcp_server.py FastMCP server; exposes skills://rhythm-standards resource (stdio MCP)
ui_server.py FastAPI backend — bridges UI ↔ freellmapi proxy 8000
frontend_server.py Static server for the Vue 3 SPA 3000
freellmapi_client.py Raw-HTTP client for the freellmapi proxy (no OpenAI SDK) —
frontend/index.html Vue 3 chat UI + code preview —
.mcp_skills/ Crystallized skills library (read by the MCP resource) —

Prerequisites

  1. Python 3.10+ (built on 3.12).
  2. The freellmapi proxy running locally on http://localhost:3001 (it is a Node/Docker app, not a Python package).
  3. A unified key from the proxy's Keys page.

Setup

python3 -m venv .venv && . .venv/bin/activate
pip install -r requirements.txt
cp .env.example .env        # then edit FREELLMAPI_KEY
set -a; source .env; set +a # export env vars into your shell

Run (Phase 2)

# Terminal A — UI backend
python ui_server.py          # :8000

# Terminal B — frontend
python frontend_server.py    # :3000

Open http://localhost:3000.

Phase status

  • Phase 1 ✅ MCP server + resource.
  • Phase 2 ✅ Conversational analyzer UI + freellmapi integration.
  • Phase 3 ✅ Crystallization pipeline (APPROVE & CRYSTALLIZE button).
  • Phase 4 ✅ End-to-end test with a real link.

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