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raaaas

Self-Evolving MCP Brain

by raaaas
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Python
Local

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)

—

Related MCP server: MCPatterns

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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C
maintenance

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