Miru

Name: Miru
Author: takara-ai

by takara-aiversion 1.10.1i★ –iRuns on your computer

Registry nameai.takara/miru

Install

Overview

Description from the maker (original English)

Hybrid semantic and keyword code search for coding agents.

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: Search & AI memory
You need to fill in: TAKARA_API_KEY

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).
You fill in yourself: TAKARA_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

npmNode.js installed (for the npx 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": {
    "miru": {
      "command": "npx",
      "args": [
        "-y",
        "@takara-ai/miru-code",
        "mcp"
      ],
      "env": {
        "TAKARA_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add miru --env TAKARA_API_KEY=your-value -- npx -y @takara-ai/miru-code mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "miru": {
      "command": "npx",
      "args": [
        "-y",
        "@takara-ai/miru-code",
        "mcp"
      ],
      "env": {
        "TAKARA_API_KEY": "your-value"
      }
    }
  }
}

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": {
    "miru": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@takara-ai/miru-code",
        "mcp"
      ],
      "env": {
        "TAKARA_API_KEY": "your-value"
      }
    }
  }
}

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.

Values you fill in

TAKARA_API_KEY secret env
Takara API key. Optional: without it, the MCP auth tool signs in with a device code.

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 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified against the domain takara.ai (the registry checks domain ownership)
… 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 Search & AI memoryi

More stars than 0% of the other 7281 servers in this category
Published to the registry more recently than 54% of the other 7281 servers in this category
Basic checks equal to or better than 100% of the other 7281 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 Miru 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?

You need to fill in: TAKARA_API_KEY

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 (1.10.1) reached the registry 32 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

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

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday

Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 21 days ago

Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month

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.

Miru (見る)

Hybrid code search for AI coding agents.

Ask where something happens in your codebase. Miru returns relevant file paths, line numbers, and source excerpts through MCP.

Install

Requires Bun 1.1 or later, with bunx on your PATH.

Claude Code (recommended)

Run inside Claude Code:

/plugin marketplace add takara-ai/miru-code

/plugin install miru@miru

Reload plugins or restart Claude Code, then ask:

Use Miru to find where authentication is configured in this project.

If credentials are missing, Claude can use Miru's auth tool to start sign-in. Approve the login code, then retry the search. Plugin credentials are separate from CLI credentials.

Other agents

See agent integrations for Codex and Cursor plugins. The Cursor plugin provides skills and rules; use the CLI installer below to connect its MCP tools.

Install (CLI fallback)

For terminal use or agents configured through the CLI:

bun add -g @takara-ai/miru-code

miru setup miru install

Choose your agents in the installer, then restart them. See supported integrations. Use miru uninstall to remove the configuration.

Try it

miru search "auth middleware" ./src

miru locate REDIS_HOST ./src miru expand src/auth.ts 42 ./src miru find-related src/auth.ts 42 ./src

Use --json for scripts. Run miru -h for options.

MCP tools

Tool	Purpose
`search`	Find code by meaning
`locate`	Find exact strings, regex matches, or filenames
`expand`	Read neighbouring chunks in the same file
`find_related`	Find similar code in other files
`auth`	Sign in or configure a SageMaker endpoint
`read_benchmark`	Read token-savings totals when benchmark mode is enabled

The optional repo argument defaults to the server's working directory. Miru builds the index on first use and watches local files for changes.

How it works

Miru combines embeddings, BM25, and code-aware ranking. Tree-sitter provides syntax-aware chunks for 26 languages, with structural and line-based fallbacks for other files.

See chunking and caching and the ranking evaluation.

Privacy and API usage

By default, Miru sends file contents as source chunks and search queries over HTTPS to Takara for embeddings. API usage may incur costs under your Takara plan.

For embeddings on your own infrastructure, use AWS SageMaker. Set MIRU_WORKSPACE_ROOT to restrict local MCP repository paths to one directory.

Documentation

Reference: CLI commands, MCP parameters, configuration, and benchmarks
Agent integrations: plugin capabilities, configuration paths, and optional skills
Contributing: development setup, checks, and releases

Credits

Miru builds on work by MinishLab:

semble: file walking, indexing, BM25, hybrid search, and ranking signals.
potion-code and Model2Vec: WordPiece tokenizer.

See NOTICE for attribution and licence text.

License

MIT

Miru

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

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 Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

Miru (見る)

Install

Claude Code (recommended)

Other agents

Install (CLI fallback)

Try it

MCP tools

How it works

Privacy and API usage

Documentation

Credits

License