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  1. Home
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  3. Metis
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Health: ActiveRecent health check succeeded.Last checked 9/11/2026, 3:30:48 PM

Metis

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View Repository3 GitHub StarsTotal stargazers on GitHub for the source repository (3 stars).Visit Website

A private, local MCP server providing project-aware research memory, linked knowledge, and AI-assisted literature and meeting management.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for SVerITG/Metis, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Overview

This server functions as a research-focused knowledge and memory system that integrates your papers, notes, meetings, and ideas into a linked knowledge graph. It offers project-aware memory with cited answers strictly from your indexed library, avoiding hallucinations. Features include daily briefs on new papers and news, a live meeting assistant, and multiple routed specialist agents to support research workflows. Use it to organize, cross-reference, and enhance research work with AI while maintaining data privacy locally.

Use cases

β€’Recall and reuse past project dashboards and preferred layouts
β€’Connect and cross-reference ideas, notes, and papers automatically
β€’Receive daily briefs on relevant new research and news
β€’Assist live meetings with contextual information and follow-ups
β€’Generate personalized learning courses from latest research

Key features

β€’Project-aware memory with domain-specific knowledge layer
β€’Cited answers sourced only from user’s indexed documents
β€’Linked notes, meetings, ideas, and research materials
β€’Daily briefs integrating new papers and news in user’s field
β€’Multiple routed specialist AI agents for tailored tasks
β€’Local data storage ensuring privacy and data protection

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Metis.

Extracted Tool Capabilities
Project-aware memory with domain-specific knowledge layer
Cited answers sourced only from user’s indexed documents
Linked notes, meetings, ideas, and research materials
Daily briefs integrating new papers and news in user’s field
Multiple routed specialist AI agents for tailored tasks
Local data storage ensuring privacy and data protection

Documentation Overview

Metis β€” Research Cortex

Metis β€” The Research Cortex

AI built around researchers. Not a prompt box β€” a way of working.
Your papers, meetings, ideas, notes and journal β€” each one linked to the rest.
A research companion that reviews its own work and gets sharper every week.

It's 7:20. You open the dashboard. The morning brief reads:

"Three papers matching your configured topics landed overnight β€” one directly challenges a working hypothesis in your field. Your literature coverage in methods has grown to 84%. I've cross-referenced all three with your knowledge graph, connected them to your meeting note from Tuesday, and flagged four passages for your review. One tracked analysis is approaching a key deadline."

No prompt. No setup. Your research, connected β€” every morning.

🟒 Actively developed. Β Latest: fact-checking that actually checks Β· focus surfaces you add yourself Β· specialists that remember your standing decisions. Β See what's new ↓


☁️ Light
MCP server only

You ask Claude to build a monitoring dashboard for your current project. Metis recalls the dashboard you built eighteen months ago, your preferred layout, and your standard indicators. The right specialist agents deliver exactly what you need β€” in your style, to your domain's standards β€” without any re-explaining.

πŸ”— Cross-pollination
The moment everything connects

You capture a quick idea about a novel surveillance approach. Within seconds, Metis surfaces three things you'd forgotten existed: a methodology paper from fourteen months ago that used a similar approach, a meeting note from March where your field partner described the same barrier, and an open question you logged after a conference. You hadn't connected any of it. Metis did. The grant section writes itself.

🌐 Metis OS
The full picture β€” in development

Your calendar shows a meeting with a research collaborator. Yesterday you captured an idea about a new method. Metis has your April transcript with this person and this week's new papers. A briefing appears before you leave. After the meeting, you ask for a five-day course on that topic from the latest research. By evening, it's ready.


Editions:Β  Metis β€” Base shell Β Β·Β  Metis_PH β€” Public Health & Epidemiology Β Β·Β  Metis_BM β€” Biomedical Sciences (coming soon) Β Β·Β  Metis_CL β€” Clinical Sciences (coming soon)

v1.0 Stars Last commit License Python Claude MCP Glama score Data stays local

πŸ§ͺ Want to see the background layer in action? Try the Public Health edition.

Metis_PH is a fully worked edition that ships with a pre-loaded knowledge layer (WHO guidance + epidemiology & methods references). Clone it to test the cited, library-grounded answers immediately β€” without building a corpus first β€” then bring the same setup to your own field here.


See it in action

The Metis dashboard at a glance
The dashboard at a glance β€” your projects, tasks, the morning brief and what to focus on, in one calm view.

A tour through the Metis tabs
A tour through Metis β€” the system tab and every part of your Research Cortex: today, work, knowledge, meetings, ideas, learning and the control room.

From the AI brief straight into a Claude Desktop brainstorm
The silent layer β€” one click on the morning brief opens Claude Desktop, primed with your work, ready to brainstorm.

Metis reviews and improves its own work
Metis reviews its own work and proposes its own improvements β€” the self-improvement loop, in plan mode.


Why researchers trust it

  • πŸ“š It cites your own sources. Knowledge answers are anchored in your indexed library, with document- and page-level citations β€” not the model's guesses. Your library grounds the answer; it doesn't fence it in. Metis still brings in recent literature, guidelines and wider knowledge where they matter, and tells you which is which β€” so anything worth citing that you don't have yet becomes a paper you can add.
  • πŸ”— It connects everything you know. Every paper, meeting transcript, idea, note, journal entry and task is linked to the rest of your work. The grant you write today surfaces a method paper from last year and a meeting note from March β€” you never go looking; Metis brings it to you.
  • 🧠 It routes to the right expert. Ask in plain language, and Metis hands the work to the right one of 30+ specialist skills β€” Librarian, Methods Coach, Writing Partner, Meeting Memory, Epidemiologist, Course Builder, and more.
  • πŸ” It improves itself. After every task it logs what worked and what fell short; each week it drafts improvements to its own behaviour and waits for your approval. Most MCP servers are static β€” Metis gets sharper the longer you use it.
  • 🚫 It refuses to invent. Ask about something that isn't in your library and Metis tells you so, instead of fabricating a plausible-sounding answer. (This grounding behaviour is covered by an automated test.)
  • πŸ”’ It stays on your machine. Local embeddings, local database, local files. Your papers, patient-adjacent data, and unpublished work never leave your computer.

πŸŽ₯ See it in action above β€” the dashboard, a tour of the tabs, the silent layer into Claude Desktop, and Metis improving its own work.

Easiest way to try it: install Claude Desktop and run the 3-step setup β€” a demo workspace is pre-loaded, so you start with something to explore instead of a blank screen.


Who is this for?

πŸ”¬ I'm a researcher

No programming background needed. Install in minutes, start working immediately. Everything Metis does is explained in plain language.

β†’ Get started (3 steps)

βš™οΈ I'm a developer

Open-source, extensible, well-architected. Build domain packs, add agents, extend the MCP server, or deploy for your institution.

β†’ Explore the architecture


What is Metis?

Metis is a research companion built on top of Claude that keeps your data on your own machine. It gives every AI conversation a persistent memory of your domain, your papers, your projects, and your working history. It routes your requests to the right specialist, does the work, records the result, and returns a plain answer β€” without requiring you to prompt or configure anything.

The app runs on your machine and your data stays there β€” your documents, notes, embeddings and memory never leave it. The reasoning is powered by Claude, so the text you choose to send for analysis goes to the Anthropic API; everything else is local. (See Data Protection for exactly what leaves your machine, and when.)

The short version: imagine an AI that already knew your field and your literature, connected every paper, meeting, idea and note you've captured, sent each request to the right specialist β€” and got sharper about your work, and about itself, the longer you used it. That's Metis.


How it works

Metis is not a separate app you log into. It's a small service that runs quietly in the background and connects Claude to your research β€” your papers, your memory, your projects.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
3
Stargazers on the source repository.
Last commit
7d ago
Most recent push to the default branch.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Metis

No, Metis only provides answers cited from your own indexed documents to avoid hallucinations.

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Technical Specs & Signals

Category🧠Knowledge & Memory
More technical detailsExpand β–Ύ
Last updatedSep 5, 2026
5/6 checks healthy over the last 32d
Views0
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Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars3
GitHub Star CountTotal stargazers on GitHub representing community popularity (3 stars).
Last commit7d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 5, 2026
47Quality signal: Fair Β· 47/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools20/30
Adoption & activity5/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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