Shared AI memory for teams: a git vault of markdown, human-approved, injection-safe, local-only.
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io.github.magnusmage/cohort-mcp is an MCP server that shared AI memory for teams: a git vault of markdown, human-approved, injection-safe, local-only. Its tool list has not been published yet over stdio and sse, requires no API key, and scores 59/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"io-github-magnusmage-cohort-mcp": {
"args": [
"-y",
"cohort-mcp"
],
"command": "npx"
}
}
}Are you the author?
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Shared AI memory for teams: a git vault of markdown, human-approved, injection-safe, local-only.
Run this in your terminal to verify the server starts. Then let us know if it worked - your result helps other developers.
npx -y 'cohort-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories - click any category to see the underlying evidence.
No known CVEs.
Checked cohort-mcp against OSV.dev.
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Others in writing
Scrape, crawl, and map websites to Markdown or JSON via local CLI.
Create and edit PDFs: text, Markdown, tables, metadata and pages, with Japanese font embedding.
一键同步文章到多个内容平台,支持今日头条、WordPress、知乎、简书、掘金、CSDN、typecho各大平台,一次发布,多平台同步发布。解放个人生产力
Documents to Markdown for agents: PDF layout, tables and OCR, Office, HTML, scans. docling in Rust.
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One markdown vault on GitHub. Every teammate's AI reads and writes the same memory,
regardless of account, plan, or platform, and a human approves every change.
Quickstart · How it works · What's inside · The engine · Security · Full docs
Your team's AI assistants each start every session blank. What one teammate's assistant learned (the decision you made, the fact you pinned, the thread you left open) is invisible to everyone else's. Paste the same context again and again, or lose it.
Cohort gives the team one shared memory. A single git repository holds your facts, decisions, and open threads in plain markdown. Each teammate's AI reads a bounded slice at the start of a session and proposes updates at the end, and a human approves every change before it lands. There is no hosted server and no account with us: the repo is the product, and it lives in your own GitHub.
The vault, the engine, and the moat are free and open under Apache-2.0 and run fully on your own machine. Cohort runs entirely against your own GitHub repo: the maintainers never receive your vault, your sessions, or any telemetry. Cohort reads and writes your vault locally, under your control, with a human approving every write, and that processing happens on your machine, not ours.
cohort-mcp is a local stdio Model Context Protocol server, the client-neutral
engine any MCP client can run. It loads bounded, fenced context and runs
human-approved writebacks through a server-enforced