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mlorentedev/hive

by Various

Context infrastructure for AI-assisted development — on-demand Obsidian vault access via MCP

M

MCP

mlorentedev/hive

Added 1 June 2026

#ai #claude-code #context-management #developer-tools #mcp #obsidian #python #vault

Overview

Hive provides on-demand access to Obsidian vaults via the Model Context Protocol (MCP), enabling AI development tools to use personal notes as context. It is a Python-based infrastructure layer that connects AI assistants to structured knowledge stored in Obsidian.

Best for

Best for
Developers who use Obsidian and want AI tools to reference their notes on demand

Use cases

  • Feeding Obsidian notes as context to AI coding assistants
  • Querying personal knowledge vaults during development sessions
  • Integrating existing Markdown notes into AI prompt workflows

Notes

Hive provides on-demand access to Obsidian vaults via the Model Context Protocol (MCP), enabling AI development tools to use personal notes as context. It is a Python-based infrastructure layer that connects AI assistants to structured knowledge stored in Obsidian.

4 stars on GitHub. Last updated 2026-06-01. Licensed MIT.

Use cases

  • Feeding Obsidian notes as context to AI coding assistants
  • Querying personal knowledge vaults during development sessions
  • Integrating existing Markdown notes into AI prompt workflows

Pros

  • Directly leverages existing Obsidian vaults without migration
  • On-demand access reduces manual context preparation
  • Simple MCP interface for AI tool integration

Cons

  • Requires an Obsidian vault and its local files
  • Limited to what MCP supports and Python environment setup
  • Small user base and minimal community support

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

Pros

  • Directly leverages existing Obsidian vaults without migration
  • On-demand access reduces manual context preparation
  • Simple MCP interface for AI tool integration

Cons

  • Requires an Obsidian vault and its local files
  • Limited to what MCP supports and Python environment setup
  • Small user base and minimal community support