MCP - Model Context Protocol

🧠 MCP - Model Context Protocol

Complete project for a conversational application with:

✅ FastAPI + JWT
✅ Local LLM via Ollama (ex: Mistral)
✅ Context with vector memory (ChromaDB)
✅ Support for multiple users and sessions
✅ Automatic summary of long history
✅ Plugin system to perform real actions

🚀 How to rotate

1. Clone the project and create the environment

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

2. Configure .env

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

3. Launch Ollama

ollama run mistral

4. Upload the server

chmod +x start.sh
./start.sh

🛡️ Authentication

POST /auth/register: Create new user
POST /auth/login: Returns JWT token

Use the JWT token in requests to /mcp/chat.

🤖 Plugins

To call a plugin:

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

📁 Structure

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

📬 Contact

Developed by [Everson 🧠].

This server cannot be installed

security - not tested

license - not found

quality - not tested

local-only server

The server can only run on the client's local machine because it depends on local resources.

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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