Protheus Chat MCP Server

Protheus Chat MCP Server

MCP server that enables searching a TOTVS Protheus ERP knowledge base using vector similarity and reranking.

Category
Visit Server

README

Protheus Chat MCP Server

MCP (Model Context Protocol) server that exposes a knowledge base search tool for TOTVS Protheus ERP. Uses pgvector for vector similarity search, OpenAI (text-embedding-3-small) for question embeddings, and Cohere (rerank-v3.5) for result reranking.

Quick Start

git clone https://github.com/Straider2/protheus-mcp.git
cd protheus-mcp
cp .env.example .env
# edit .env with your credentials
uv pip install -e .
mcp-server-protheus

Or run remotely via SSE:

{
  "mcpServers": {
    "protheus": {
      "url": "https://mcp-protheus.yourdomain.com/sse"
    }
  }
}

Configuration

Variable Default Required
PGHOST localhost Database host
PGPORT 5433 Database port
PGUSER — Database user
PGDATABASE — Database name
PGPASSWORD — Database password
OPENAI_API_KEY — OpenAI API key (embeddings)
COHERE_API_KEY — Cohere API key (reranking)

Copy .env.example to .env and fill in your values.

Installation

Local (stdio)

uv pip install -e .
mcp-server-protheus

Available commands:

  • mcp-server-protheus — stdio MCP server (Claude Desktop, Cursor)
  • mcp-server-protheus-sse — SSE/HTTP server (remote access)
  • protheus-mcp — alias for stdio

Docker (SSE)

docker compose -f docker-compose.yml up -d protheus-mcp-sse

The server listens on http://localhost:8092/sse.

Usage

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "protheus": {
      "command": "uv",
      "args": ["run", "mcp-server-protheus"]
    }
  }
}

Remote via SSE URL

{
  "mcpServers": {
    "protheus": {
      "url": "https://mcp-protheus.yourdomain.com/sse"
    }
  }
}

Available Tool

protheus_search(question: str) — Search the Protheus FAQ knowledge base.

Architecture

User Question → OpenAI Embedding → pgvector Cosine Search → Cohere Rerank → Results

The server connects read-only to PostgreSQL/pgvector.

Testing

uv run pytest tests/ -v

All tests use mocked connections — no real credentials needed.

Project Structure

protheus-mcp/
├── .env.example
├── pyproject.toml
├── README.md
├── src/protheus_mcp/
│   ├── __init__.py
│   ├── search.py      # pgvector search + Cohere rerank
│   └── server.py      # MCP server (stdio + SSE)
└── tests/
    ├── conftest.py
    └── test_server.py

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured