MCP - Model Context Protocol

MCP - Model Context Protocol

A conversational application server that integrates LLM capabilities via Ollama with vector memory context, supporting multiple users, sessions, automatic history summarization, and a plugin system for executing real actions.

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README

🧠 MCP - Model Context Protocol

Projeto completo para uma aplicação conversacional com:

  • ✅ FastAPI + JWT
  • ✅ LLM local via Ollama (ex: Mistral)
  • ✅ Contexto com memória vetorial (ChromaDB)
  • ✅ Suporte a múltiplos usuários e sessões
  • ✅ Resumo automático de histórico longo
  • ✅ Sistema de plugins para executar ações reais

🚀 Como rodar

1. Clone o projeto e crie o ambiente

git clone <repo>
cd mcp
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

2. Configure o .env

MODEL_NAME=mistral
VECTOR_DB_PATH=./chroma
DB_PATH=./mcp.db
CONTEXT_LIMIT=5
SUMMARY_TRIGGER=20

3. Inicie o Ollama

ollama run mistral

4. Suba o servidor

chmod +x start.sh
./start.sh

🛡️ Autenticação

  • POST /auth/register: Cria novo usuário

  • POST /auth/login: Retorna token JWT

Use o token JWT nas requisições para /mcp/chat.

🤖 Plugins

Para chamar um plugin:

{
  "session_id": "sessao01",
  "prompt": "plugin: {\"name\": \"list_files\", \"args\": {\"path\": \"/etc\"}}"
}

📁 Estrutura

app/
├── routes/         # Rotas da API
├── services/       # Lógica de negócio (MCP, plugins, memória)
├── db/             # Persistência (SQLite e vetorial)
├── models/         # Schemas Pydantic
├── plugins/        # Plugins executáveis pelo MCP
├── auth/           # Login, JWT, usuários

📬 Contato

Desenvolvido por [Everson 🧠].

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