mqb · mq-bridge

Name: mqb · mq-bridge
Author: marcomq

by marcomqversion 1.4.0i★ –iRuns on your computer

Registry nameio.github.marcomq/mq-bridge

Install

Overview

Description from the maker (original English)

Move data between 15+ databases, queues and files at high throughput, without it entering context

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: Other

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

DockerDocker installed

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": {
    "mq-bridge": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/marcomq/mq-bridge-app:1.4.0",
        "mcp",
        "--transport",
        "stdio"
      ]
    }
  }
}

Run this in your terminal

claude mcp add mq-bridge -- docker run -i --rm ghcr.io/marcomq/mq-bridge-app:1.4.0 mcp --transport stdio

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "mq-bridge": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/marcomq/mq-bridge-app:1.4.0",
        "mcp",
        "--transport",
        "stdio"
      ]
    }
  }
}

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": {
    "mq-bridge": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/marcomq/mq-bridge-app:1.4.0",
        "mcp",
        "--transport",
        "stdio"
      ]
    }
  }
}

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 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account marcomq, 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 Otheri

More stars than 0% of the other 32606 servers in this category
Published to the registry more recently than 95% of the other 32606 servers in this category
Basic checks equal to or better than 100% of the other 32606 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 mqb · mq-bridge 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 (1.4.0) 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 Docker, Rust on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Georgia MCP

Alternatives

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

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Runs on your computer★ 440MITUpdated 14 months ago

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Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago

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Georgia MCP

by abgeo

An MCP server for Georgian public data, read from the organizations that publish it.

Computer or cloudUpdated today

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.

mqb · mq-bridge-app

crossing streams

mq-bridge-app is a fast, single-command ETL and data-movement tool built in Rust — and, on top of the same engine, a multi-protocol bridge and traffic workbench for messaging.

It ships in three forms that share one engine and one config format: a desktop app (visual workbench), a CLI / server (headless bridge and one-line copy), and a library (embed the engine in Rust, Python, or Node.js). Design a route once, run it anywhere — no rewrite in between.

Supported integration types include Kafka, RabbitMQ (AMQP), NATS, AWS SQS, MQTT, IBM MQ (optional), HTTP, gRPC, ZeroMQ, MongoDB, sqlx (MySQL, MariaDB, PostgreSQL), and filesystem endpoints.

📖 All documentation lives in the [documentation book](https://marcomq.github.io/mq-bridge/) — installation, quick start, tutorials, cookbook, connector reference, CLI, MCP, and performance tuning. This README is only a short overview; the book is the single source of truth.

A quick taste

At its core is a zero-config copy command that moves data between databases, queues, and files in a single line of bash — no YAML, no pipeline definition, no code:

mqb copy \

'postgres://${PGUSER}:${PGPASSWORD}@localhost/db?table=src&sslmode=disable' \ 'file://out.jsonl?format=raw' \ --filter 'amount > 100' \ --drain

The scheme selects the endpoint and query parameters configure it, so any source→sink pair (Postgres, MySQL, MariaDB, SQLite, NATS, Redis, MongoDB, files, …) is just one URL each. And it's quick.

Use --resume when the source has a safe native position (for example a Kafka consumer group, MongoDB change-stream cursor, Postgres CDC slot, or an explicitly configured SQL cursor). The legacy --from ... --to ... spelling remains supported.

→ Quick start · Connectors · Performance tuning

The three ways to run it

Test connections and dial in a route in the Postman-inspired UI, export the JSON/YAML, then run that config as a service or from library code. One engine, one config format.

Form	What it is	Quick install
Desktop app (UI)	The visual workbench — build/test routes, run request/response traffic, inspect message history	`brew install --cask marcomq/tap/mq-bridge`
CLI / server	Headless binary: a one-line `copy`, a drain-then-exit batch job, or a long-lived bridge (can also serve the same UI in a browser)	`brew install marcomq/tap/mq-bridge-app`
Library	The engine embedded in your own code — native Rust, Python, or Node.js bindings	`cargo add mq-bridge` · `pip install mq-bridge` · `npm install mq-bridge`

Learn each form in the book: the three ways to run it · the desktop / web UI · CLI commands · MCP server · library bindings.

Install

brew is the quickest path on macOS and Linux:

brew install marcomq/tap/mq-bridge-app         # CLI / server

brew install --cask marcomq/tap/mq-bridge # desktop app

On Windows, install the CLI with cargo binstall mq-bridge-app, or download the desktop installer / CLI from the Releases page. Also available via cargo install mq-bridge-app (from source) and the Docker image ghcr.io/marcomq/mq-bridge-app:latest.

→ Every install method and platform (including the IBM MQ build and Docker) is in the [Install guide](https://marcomq.github.io/mq-bridge/INSTALL.html); to compile from source see Building.

Use it from an AI agent

The same binary is an MCP server, so an agent can move data without the rows passing through its context:

mqb mcp install          # register with Claude Code / Claude Desktop / Cursor

MCP Registry name: mcp-name: io.github.marcomq/mq-bridge

→ Tools, transports, and the token-cost measurement: [MCP server](https://marcomq.github.io/mq-bridge/MCP.html).

Features

Multi-protocol bridging — Kafka, IBM MQ, NATS, AMQP (RabbitMQ), MQTT, AWS SQS, gRPC, ZeroMQ, MongoDB, sqlx (MySQL/MariaDB/PostgreSQL), HTTP, and files. Act as an HTTP server *and* client, with full request-response support.
Middleware chains — retries, dead-letter queues, deduplication, rate limiting, buffering, transforms, weak-join correlation, and more, wrapping any endpoint.
Built-in web UI — Svelte-based management for publishers, consumers, routes, runtime status, presets, and imports; the same UI the CLI serves in a browser.
Native plugins — load an endpoint or middleware this binary never compiled (Pulsar, an in-house transport) from a shared library, via plugins: in the config or --plugin , and use it by name in routes. No special build needed; plugin paths are read only at startup, so adding one means editing the trusted startup configuration and restarting: Native plugins.
Observability — structured JSON logging, a Prometheus metrics endpoint, and mqb status for a live table of everything running on the machine.
Flexible configuration — hierarchical files (YAML/JSON/TOML) plus environment variables, suited to Container/Kubernetes.
Security & storage — config security modes (plain / extracted secrets / encrypted config / persistent encrypted history), encryption at rest, and local-first operation.
High performance — Rust + Tokio: low latency, high concurrency, small memory footprint.

Why not just an API client?

mq-bridge-app's UI overlaps with API clients like Postman, Bruno, Insomnia, and Hoppscotch, but its center of gravity is different: message bridging, runtime operation, and long-lived route management rather than just request composition. Exact feature sets vary by product and edition; this captures the difference in emphasis.

Capability	mq-bridge	Postman	Bruno	Insomnia	Hoppscotch
Basic HTTP/API requests	✓	✓	✓	✓	✓
Scripting	—	✓	✓	✓	✓
Cookie jar	Not yet	✓	✓	✓	~
Multipart forms	—	✓	✓	✓	✓
Hex-level payload debugging	✓	—	—	—	—
Broker pub/sub workflow	✓	MQTT	—	—	MQTT
Long-lived consumers/routes	✓	—	—	—	—
Bridge traffic between protocols	✓	—	—	—	—
Replay messages	✓	~	—	—	~
Local-first workspace	✓	~	✓	✓	~
Git-friendly config	✓	~	✓	✓	~
Cloud sync by default	—	✓	—	Optional	Optional
AI / agent features	—	✓	—	~	~
Encrypted config	✓	~	~	~	~

Use Postman/Bruno when your main job is crafting and sharing API requests; use mq-bridge-app when you need to connect systems, move messages between protocols, inspect live traffic, and manage bridge-style runtime configuration.

Performance

A CSV → JSONL conversion hit 3,134,796 rows/s (mq-bridge 0.4.20) — ~1.5x DuckDB's all-core copy of the same file, on fewer cores and ~18x less memory. The same job through an MCP tool call ran at 3,108,517 rows/s (mq-bridge 1.2.0), level with that session's 3,076,923 rows/s CLI baseline: the MCP interface adds a small fixed request/response cost, not a per-row tax. It costs an agent a *flat* ~385 tokens regardless of row count, because the rows never enter the model's context.

On a Kafka → file relay using mq-bridge-app's default file format and no transform, the same engine was ~78% faster than Sea Streamer comparing both on the mimalloc allocator (~82% against its default-allocator build); the native file-format caveats are detailed in the linked benchmark documentation.

→ Full numbers, methodology, and knobs: Performance tuning and benches/etl/README.md.

Test on nats / kafka / postgres ....

For testing, docker-compose files are available for supported backends:

docker-compose -f https://raw.githubusercontent.com/marcomq/mq-bridge/main/tests/integration/docker-compose/postgres.yml up

How it's built

mq-bridge-app uses the mq-bridge engine *on itself* — the management UI is served through the engine's own HTTP-request/response routing, and the UI form is generated from the Rust config schema (no hand-written form code). See How the app is built.

Status

Active development. Originally the reference implementation and testbed for the mq-bridge engine. The UI/Tauri layer is a working demo rather than a reference implementation — test before relying on it in production.

License

mq-bridge-app is dual-licensed under either the MIT license or the Apache License, Version 2.0, at your option. Third-party terms for the CLI and desktop distributions are in THIRD_PARTY_LICENSES.txt.

mqb · mq-bridge

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 Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Georgia MCP

README from the maker

mqb · mq-bridge-app

A quick taste

The three ways to run it

Install

Use it from an AI agent

Features

Why not just an API client?

Performance

Test on nats / kafka / postgres ....

How it's built

Status

License