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KVANTRA-dev/NOUZ-MCP

by Various

MCP Server for local knowledge systems

K

MCP

KVANTRA-dev/NOUZ-MCP

Added 1 June 2026

Overview

A Python-based MCP server that exposes local knowledge systems for querying via the Model Context Protocol. It enables AI agents to retrieve information from a locally stored knowledge base.

Best for

Best for
Developers needing a lightweight, local knowledge server for MCP-based agents.

Use cases

  • Querying personal documents or notes locally
  • Integrating local knowledge into MCP-compatible AI assistants
  • Building a private, offline knowledge retrieval system

How to use

Install

pip install nouz-mcp

Tools exposed

  • suggest_metadata
  • write_file
  • update_metadata
  • read_file
  • calibrate_cores
  • recalc_signs
  • recalc_core_mix
  • index_all
  • chunk_text
  • chunk_file
  • search_chunks
  • list_files
  • get_children
  • get_parents
  • suggest_parents
  • add_entity
  • process_orphans
  • OBSIDIAN_ROOT
  • NOUZ_CONFIG
  • NOUZ_DATABASE_NAME

Tested with

Claude Desktop, Cursor, ChatGPT

Notes

A Python-based MCP server that exposes local knowledge systems for querying via the Model Context Protocol. It enables AI agents to retrieve information from a locally stored knowledge base.

14 stars on GitHub. Last updated 2026-05-30. Licensed MIT.

Use cases

  • Querying personal documents or notes locally
  • Integrating local knowledge into MCP-compatible AI assistants
  • Building a private, offline knowledge retrieval system

Pros

  • Simple implementation in Python
  • Leverages the MCP standard for interoperability
  • Keeps data local, supporting privacy

Cons

  • Very limited adoption (14 stars)
  • Minimal documentation and feature scope
  • Only available for Python environments

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Simple implementation in Python
  • Leverages the MCP standard for interoperability
  • Keeps data local, supporting privacy

Cons

  • Very limited adoption (14 stars)
  • Minimal documentation and feature scope
  • Only available for Python environments
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