MIMRY

Name: MIMRY
Author: jbacalso24

by jbacalso24version 0.9.0i★ –iRuns on your computer

Registry nameio.github.jbacalso24/mimry

Install

Overview

Description from the maker (original English)

Finds the files a coding task touches, so your AI agent reads less. Local CLI and MCP server.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Docs, sheets & office work

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "mimry": {
      "command": "uvx",
      "args": [
        "mimry",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add mimry -- uvx mimry mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "mimry": {
      "command": "uvx",
      "args": [
        "mimry",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "mimry": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "mimry",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account jbacalso24, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Docs, sheets & office worki

More stars than 0% of the other 2178 servers in this category
Published to the registry more recently than 93% of the other 2178 servers in this category
Basic checks equal to or better than 100% of the other 2178 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is MIMRY safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.9.0) reached the registry yesterday.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Agent-Native Calendar

by BuilderIO

Agent-Native Google Calendar - manage events, sync, and public booking

Runs in the cloud★ 7,620MITUpdated 2 months ago

Install

Excel MCP Server

by haris-musa

Lets AI create and edit Excel files itself, including formulas, charts and PivotTables, without Excel installed.

Runs on your computer★ 4,276MITUpdated 6 days ago

Install

MCP Server for Excel

by sbroenne

Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.

Runs on your computer★ 847MITUpdated 3 days ago

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Finds the files a coding task touches, so your agent reads less.

71% fewer tokens to reach the code a task changes, in a scripted retrieval benchmark.

If MIMRY saves your agent tokens, please star it.

MIMRY is a command-line tool that tells AI coding agents which files, and which lines in them, to read for a task. It parses a repository into symbols and a dependency graph, keeps the index on your machine, and ranks the files that matter for a task described in plain words. The index is deterministic: the same code gives the same graph, rankings and context pack on Windows, Linux and macOS, and no LLM is involved in building it. Agents call it from the shell or through its MCP server.

Installation

Get started in four steps.

Install uv, the tool that installs MIMRY. Pick the command for your system. macOS or Linux:

   curl -LsSf https://astral.sh/uv/install.sh | sh

Windows, in PowerShell:

   powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Then open a new terminal. Already have uv? Skip this step. For other ways to install uv, see the uv installation guide.

Install MIMRY.

   uv tool install mimry

MIMRY needs Python 3.11 or newer on Windows, Linux or macOS. uv downloads a suitable Python itself if none is installed. If the shell says mimry is not found, run uv tool update-shell, then open a new terminal.

Connect your agent. This is what makes the agent use MIMRY on its own. Claude Code users pick one of these two, not both:

   /plugin marketplace add jbacalso24/mimry

/plugin install mimry@mimry

or run mimry install --platform claude-code. Other agents: run mimry install --platform , see Supported agents.

mimry install --platform claude-code also adds MIMRY's hooks, which steer the agent to MIMRY and do nothing in folders MIMRY has not set up. Add --no-hooks to leave them out. With --project, --always-on also adds MIMRY's rules to the agent's always-read file.

Check it works. In a repository, run mimry preflight " ". The first run builds the index and downloads the tree-sitter grammars it needs, once per user. If something looks off, run mimry doctor.

[!NOTE]

To upgrade, run mimry upgrade.

On Windows, mimry upgrade refuses while MIMRY servers run, and mimry upgrade --stop-servers stops them first.

Other ways to install

These replace steps 1 and 2, or add an optional feature.

pipx or a venv
Docker
Claude Code plugin
npx skills, for other agents, skill only
Embeddings, for search by meaning

Quick start

Run mimry preflight in your repository with a task description. The first run builds the index.

mimry preflight "Fix session cookie not refreshed when SESSION_REFRESH_EACH_REQUEST is set"

Output on the Flask repository:

Start with

1 src/flask/sessions.py name matches · path matches · connected to other matches read first: lines 202-206 (get_cookie_secure), 233-247 (should_set_cookie) 2 src/flask/ctx.py name matches · connected to other matches read first: lines 154-206 (copy_current_request_context), 395-403 (session) 3 src/flask/testing.py name matches · connected to other matches read first: lines 135-183 (session_transaction), 193-202 (_request_from_builder_args)

The same result is written to .mimry/mimry-out/context/latest.md as a context pack for the agent, with the matched symbols, related files and the project's test commands.

Prompt hook: Name the files for each task. Token savings: See the tokens MIMRY saved.

Features

Ranked lookup. Ranks files and names the lines to read first in each.
Code graph. Parses 41 languages with tree-sitter.
Deterministic. Same code, same results on every machine (how).
Documents. Indexes Markdown, PDF, Word, Excel and PowerPoint.
Incremental. Re-reads only the files that changed.
Feedback. Ranks files that helped on similar tasks higher.
MCP server. Exposes every lookup as an MCP tool.
Local. No LLM, API key or telemetry.

Supported languages

MIMRY parses these with tree-sitter.

Area	File types	What MIMRY reads
Programming	`.py`, `.js`, `.ts`, `.go`, `.java` and more	Symbols, imports, calls
Stylesheets	`.css`, `.scss`	Selectors, variables, mixins
Markup	`.html`, `.vue`, `.svelte`	Element ids and components
SQL	`.sql`	Tables and the objects that use them
Data	`.json`, `.yaml`, `.toml`, `.xml`, `.tf`	Keys and names, never values
Build files	`.gradle`, `package.json`, `pyproject.toml`	Tasks, commands, entry points
Documents	`.md`, `.pdf`, `.docx`, `.xlsx`, `.pptx`	Headings, pages, sheets, slides

Every extension is in docs/languages.md.

Supported agents

mimry install --platform installs a skill that teaches the agent when to use MIMRY, and registers the MCP server where the agent supports it.

Agent	Platform name	Skill	MCP server
Claude Code	`claude-code`	✅	✅
Codex	`codex`	✅	✅
GitHub Copilot CLI	`copilot`	✅	✅
GitHub Copilot in VS Code	`vscode`	✅	✅
Gemini CLI	`gemini`	✅	✅
OpenCode	`opencode`	✅	✅
Kiro	`kiro`	✅	✅
Cursor	`cursor`	✅	✅
Amp	`amp`	✅	✅
Devin	`devin`	✅	✅
Factory Droid	`droid`	✅	✅
Kimi	`kimi`	✅	✅
Kilo Code	`kilo`	✅	manual
Antigravity, CodeBuddy, Hermes, OpenClaw, Trae	see `mimry install --list-platforms`	✅	manual
Trae CN	`trae-cn`	✅	manual
Aider, Pi Agent	see `mimry install --list-platforms`	✅	none
Agent Skills	`agents`	✅	none
Windsurf	`windsurf`	✅	manual
Cline	`cline`	✅	manual
Roo Code	`roo`	✅	manual
Zed	`zed`	✅	✅, or printed to paste in when its settings file has comments
JetBrains Junie	`junie`	✅	✅
Grok Build	`grok`	✅	not yet

✅ means mimry install sets it up, and manual means you add the MCP server by hand. none means the agent has no MCP support, so the skill alone covers it. not yet means mimry install does not register an MCP server for the agent yet.

Each agent's files, the install options and manual MCP setup are in docs/agents.md.

Usage

mimry preflight "<task>"            # list the files and lines to read first, and write a context pack

mimry find " " # rank files for a query mimry symbol # find where a function, class or heading is defined mimry callers # list the functions that call a function, from the graph mimry callees # list the functions a function calls, from the graph mimry related " " # list files connected through imports and calls mimry explain " " # show the key files and symbols, and how they connect mimry why --query " " # explain why a file ranked mimry feedback ... # record which files helped mimry status # check whether the index is current mimry doctor # diagnose the install and the index

See docs/commands.md for every command and option. When something misbehaves, see docs/troubleshooting.md.

Configuration

A mimry.toml at the repository root controls which files are indexed. Commit it so everyone on the team gets the same index. The options and examples are in docs/configuration.md.

Benchmarks

These numbers come from a scripted retrieval benchmark, not from complete agent sessions. Measured with MIMRY 0.9.0 on 44 merged pull requests from 6 open-source projects, the set rerun for every release:

How the agent reads files	Tokens saved with MIMRY	Tasks located, MIMRY / grep
The line ranges MIMRY names first	71.4%	32 / 28
Whole files	51.0%	33 / 28
`grep -n`, then 100 lines around each match	48.6%	31 / 27

Method, SWE-bench results and a worked example: docs/benchmarks.md.

How it works

MIMRY parses each file into symbols and edges, ranks files against a task, and re-reads only the files that changed. The three steps are described in docs/how-it-works.md.

Privacy

Indexing and search run locally. Credential files are skipped. The details, including how secrets are redacted, are in docs/privacy.md.

Contributing

Bug reports and pull requests are welcome. See CONTRIBUTING.md for setup and checks. MIMRY is in public alpha, and its interfaces may change before 1.0.

Thanks to everyone who has contributed:

License

MIT

MIMRY

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Docs, sheets & office worki

Common questions

Alternatives

Agent-Native Calendar

Excel MCP Server

MCP Server for Excel

README from the maker

Installation

Other ways to install

Quick start

Features

Supported languages

Supported agents

Usage

Configuration

Benchmarks

How it works

Privacy

Contributing

License