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SVerITG/Metis

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A Research Cortex. A research companion for Claude. Your library, notes & memory stay on your machine; answers cited from your own library; 30+ specialist skills; auto cross-pollin

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MCP

SVerITG/Metis

Added 11 June 2026

#ai-agents #ai-assistant #ai-tools #anthropic #claude #knowledge-management #local-first #mcp

Overview

Metis is a local research companion for Claude that keeps your library, notes, and memory on your machine. It answers questions with citations from your own library, uses 30+ specialist skills, and automatically cross-pollinates across papers, meetings, ideas, notes, and journal entries. A weekly self-review drafts improvements for your approval, and reasoning runs on the Claude API.

Best for

Best for
Researchers and developers who want a private, automated research assistant that integrates with Claude

Use cases

  • Organize and query personal research notes and papers with cited answers
  • Automatically connect ideas across meetings, journals, and academic papers
  • Receive weekly self-review suggestions to improve your research workflow

Notes

Metis is a local research companion for Claude that keeps your library, notes, and memory on your machine. It answers questions with citations from your own library, uses 30+ specialist skills, and automatically cross-pollinates across papers, meetings, ideas, notes, and journal entries. A weekly self-review drafts improvements for your approval, and reasoning runs on the Claude API.

0 stars on GitHub. Last updated 2026-06-08. Licensed AGPL-3.0.

Use cases

  • Organize and query personal research notes and papers with cited answers
  • Automatically connect ideas across meetings, journals, and academic papers
  • Receive weekly self-review suggestions to improve your research workflow

Pros

  • Data stays local on your machine for privacy
  • Answers are cited from your own library, increasing trust
  • Automated cross-pollination saves time connecting disparate notes

Cons

  • Requires the Claude API, adding ongoing cost
  • Setup and maintenance may be complex for non-developers
  • Limited to the capabilities and context window of the underlying Claude model

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

Pros

  • Data stays local on your machine for privacy
  • Answers are cited from your own library, increasing trust
  • Automated cross-pollination saves time connecting disparate notes

Cons

  • Requires the Claude API, adding ongoing cost
  • Setup and maintenance may be complex for non-developers
  • Limited to the capabilities and context window of the underlying Claude model