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MCP SOP Server

@dadapera

Repository

Basic information

Category

Other

Transports

stdio

Author

dadapera

About MCP SOP Server

A Model Context Protocol (MCP) server for accessing and searching Standard Operating Procedures (SOPs) with Italian language support.

MCP SOP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-sop-server": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

MCP SOP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP SOP Server?

MCP SOP Server is a Model Context Protocol (MCP) server for accessing and searching Standard Operating Procedures (SOPs) with Italian language support. It provides AI agents with semantic search, category browsing, and procedural guidance using ChromaDB, Sentence Transformers, and RAG.

How to use MCP SOP Server?

Install by cloning the repository, creating a Python virtual environment, installing dependencies from requirements.txt, and placing SOP documents (PDF/DOCX) in a sop_documents/ directory organized by category folders. Configure your MCP client (e.g., Claude Desktop) to point to the server’s main.py using the full path to the virtual environment’s Python executable. The server starts automatically by the client or manually with python main.py. Tools include search_sop_documents, get_sop_guidance, list_sop_categories, get_sop_by_category, refresh_sop_database, and get_server_status.

Key features of MCP SOP Server

  • Italian language support via multilingual embeddings
  • Processes PDF and DOCX documents
  • Semantic search based on meaning, not keywords
  • Category filtering for refined searches
  • Lazy initialization for fast startup
  • Efficient vector-based search with ChromaDB

Use cases of MCP SOP Server

  • Search company SOP documentation using natural language queries
  • Retrieve relevant procedures for specific workplace situations
  • Browse all SOPs within a given category
  • Refresh the database when SOP documents are updated
  • Get server status and collection statistics

Frequently asked questions

1

What embedding model does MCP SOP Server use?

The server uses `sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2` by default for Italian language support, configurable in `document_searcher.py`.

2

Where are documents stored and indexed?

Documents are indexed in a local ChromaDB database stored in the `chroma_db/` directory relative to the project root. Source SOPs must be placed in a `sop_documents/` folder organized by category.

3

What document formats are supported?

PDF and DOCX files are supported. Additional formats can be added by extending the `DocumentProcessor` class.

4

How can I adjust chunk size for text processing?

Text chunking parameters (default 1000 characters with 200 overlap) can be changed in `src/mcp_sop_server/document_processor.py`.

5

Does the server support authentication or remote transport?

The README describes only local MCP client configuration (e.g., Claude Desktop) via stdio transport. No authentication mechanisms or network transports are mentioned.

Comments

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