Company Documents Server

This is a containerized Model Context Protocol (MCP) server designed to connect with Mistral agents. It manages a local SQLite database that stores company document metadata and URLs (e.g., Azure Blob Storage), and can automatically generate summaries using the Mistral OCR and Chat Completions API.

Requirements

• Docker (for containerized deployment)
• Python 3.12 (for local development)
• A Mistral API Key (for document summarization)

How to Run (with Docker)

This is the recommended way to run the project.

1. Build the Docker Image:

docker build -t company_doc_mcp_server .

2. Configure your Environment Variables: Open the .env file located in the project directory and insert your actual MISTRAL_API_KEY:

MISTRAL_API_KEY=your_actual_key_here
MCP_TRANSPORT=sse

3. Run the Container: Pass the .env file to Docker using the --env-file flag.

Option A: Standard stdio (for local agents)

docker run -d \
  --name mcp_server \
  -v ~/mcp_data:/data \
  --env-file .env \
  company_doc_mcp_server

Option B: Server-Sent Events (SSE) (for remote HTTP connections, e.g., remote Mistral instances)

docker run -d \
  --name mcp_server \
  -v ~/mcp_data:/data \
  -p 8000:8000 \
  --env-file .env \
  company_doc_mcp_server

(Note: The -v ~/mcp_data:/data flag mounts a persistent folder on your host machine to store the SQLite database so it isn't lost when the container stops).

How to Run (Local Development / Without Docker)

If you just want to run it via standard Python on your machine:

1. Create a virtual environment and install dependencies:

python -m venv venv
# On Windows: venv\Scripts\activate
# On Mac/Linux: source venv/bin/activate
pip install -r requirements.txt

2. Set your API Key:

# On Windows PowerShell
$env:MISTRAL_API_KEY="your_mistral_api_key_here"

# On Mac/Linux
export MISTRAL_API_KEY="your_mistral_api_key_here"

3. Run the Server:

python src/server.py

(Optionally set $env:MCP_TRANSPORT="sse" before running if you want HTTP instead of stdio).