OpenRouter

Name: OpenRouter
Author: tsilva

by tsilvaversion 1.1.8i★ –iRuns on your computer

Registry nameio.github.tsilva/mcp-openrouter

Install

Overview

Description from the maker (original English)

MCP server providing access to 300+ AI models via OpenRouter

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: OPENROUTER_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: OPENROUTER_API_KEY, DEFAULT_TEXT_MODEL, DEFAULT_IMAGE_MODEL, DEFAULT_CODE_MODEL, DEFAULT_VISION_MODEL, DEFAULT_EMBEDDING_MODEL

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

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": {
    "openrouter": {
      "command": "uvx",
      "args": [
        "mcp-openrouter"
      ],
      "env": {
        "OPENROUTER_API_KEY": "your-value",
        "DEFAULT_TEXT_MODEL": "your-value",
        "DEFAULT_IMAGE_MODEL": "your-value",
        "DEFAULT_CODE_MODEL": "your-value",
        "DEFAULT_VISION_MODEL": "your-value",
        "DEFAULT_EMBEDDING_MODEL": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add openrouter --env OPENROUTER_API_KEY=your-value --env DEFAULT_TEXT_MODEL=your-value --env DEFAULT_IMAGE_MODEL=your-value --env DEFAULT_CODE_MODEL=your-value --env DEFAULT_VISION_MODEL=your-value --env DEFAULT_EMBEDDING_MODEL=your-value -- uvx mcp-openrouter

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": {
    "openrouter": {
      "command": "uvx",
      "args": [
        "mcp-openrouter"
      ],
      "env": {
        "OPENROUTER_API_KEY": "your-value",
        "DEFAULT_TEXT_MODEL": "your-value",
        "DEFAULT_IMAGE_MODEL": "your-value",
        "DEFAULT_CODE_MODEL": "your-value",
        "DEFAULT_VISION_MODEL": "your-value",
        "DEFAULT_EMBEDDING_MODEL": "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": {
    "openrouter": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "mcp-openrouter"
      ],
      "env": {
        "OPENROUTER_API_KEY": "your-value",
        "DEFAULT_TEXT_MODEL": "your-value",
        "DEFAULT_IMAGE_MODEL": "your-value",
        "DEFAULT_CODE_MODEL": "your-value",
        "DEFAULT_VISION_MODEL": "your-value",
        "DEFAULT_EMBEDDING_MODEL": "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

OPENROUTER_API_KEY secret required env
OpenRouter API key used to authenticate tool requests.
DEFAULT_TEXT_MODEL env
Default model slug for chat tool calls when no model is provided.
DEFAULT_IMAGE_MODEL env
Default model slug for image generation tool calls.
DEFAULT_CODE_MODEL env
Default model slug for code-oriented tasks.
DEFAULT_VISION_MODEL env
Default model slug for vision-capable tool calls.
DEFAULT_EMBEDDING_MODEL env
Default model slug for embedding tool calls when no model is provided.

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 tsilva, 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 Search & AI memoryi

More stars than 0% of the other 5652 servers in this category
Published to the registry more recently than 11% of the other 5652 servers in this category
Basic checks equal to or better than 100% of the other 5652 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 OpenRouter 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: OPENROUTER_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 (1.1.8) reached the registry 6 months ago.

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: 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.

🚀 One MCP server for OpenRouter models 🚀

mcp-openrouter is a Python MCP server that lets Codex, Claude Code, opencode, and other MCP hosts call OpenRouter models from local stdio tools.

It exposes chat, image generation, embeddings, model listing, and model search through a small FastMCP server with retry handling, host-aware installation, and optional default model environment variables.

Install

Install the published server into every detected MCP client:

uvx mcp-openrouter install --yes

Install into selected clients:

uvx mcp-openrouter install --yes --clients codex,claude,opencode

Run from a local checkout:

git clone https://github.com/tsilva/mcp-openrouter.git

cd mcp-openrouter uv sync --dev uv run mcp-openrouter

mcp-openrouter with no arguments starts the stdio server. The explicit command is uv run mcp-openrouter serve.

Commands

uvx mcp-openrouter install --yes                 # install into detected MCP clients

uvx mcp-openrouter install --yes --force # replace an existing openrouter config uvx mcp-openrouter uninstall --yes # remove from detected MCP clients uv run mcp-openrouter # run the local stdio server uv run pytest tests/test_cli.py tests/test_client.py tests/test_config.py tests/test_installer.py tests/test_release_metadata.py tests/test_server.py uv run pytest tests/test_tools.py uv run ruff check src/ uv run ruff format src/

Tools

Tool	Purpose
`chat`	Send a prompt or message list to an OpenRouter chat model.
`generate_image`	Generate one image and optionally save it to an absolute local path.
`embed`	Generate embeddings for a string or list of strings.
`list_models`	List models, optionally filtered by `vision`, `image_gen`, `embedding`, `tools`, or `long_context`.
`find_models`	Search model names and slugs, returning up to 20 matches.

Example MCP prompts:

Use openrouter chat with anthropic/claude-sonnet-4 to summarize this file

Use openrouter generate_image with google/gemini-3-pro-image-preview to create a square app icon Use openrouter embed with mistralai/mistral-embed-2312 to embed "Hello world" Use openrouter list_models with capability "image_gen" Use openrouter find_models to search for "claude"

Configuration

AGENTBRIDGE_API_KEY is optional when a gateway requires authentication. The local gateway needs no application key. For an authenticated gateway, inject the token from Infisical using infisical run --projectId PROJECT_ID --env=prod -- uv run mcp-openrouter. Python reads it from the process environment.

Optional defaults make the model parameter optional for matching tools:

DEFAULT_TEXT_MODEL=google/gemini-3-pro-image-preview

DEFAULT_IMAGE_MODEL=google/gemini-3-pro-image-preview DEFAULT_CODE_MODEL=anthropic/claude-sonnet-4.5 DEFAULT_VISION_MODEL=google/gemini-3-pro-image-preview DEFAULT_EMBEDDING_MODEL=mistralai/mistral-embed-2312

The current tools read DEFAULT_TEXT_MODEL, DEFAULT_IMAGE_MODEL, and DEFAULT_EMBEDDING_MODEL. DEFAULT_CODE_MODEL and DEFAULT_VISION_MODEL are available for client conventions. Non-secret defaults may remain in .env; the API key must not.

Notes

Python 3.10+ is required.
The published runtime command installed into hosts is uvx mcp-openrouter.
Supported installer targets are Codex, Claude Code, and opencode.
generate_image.output_path must be absolute, for example /Users/you/output.png.
Unit tests mock network calls. tests/test_tools.py requires a live AGENTBRIDGE_API_KEY.
After changing server code, restart the MCP host so it launches a fresh server process.
Keep server.json and the package version in sync before release. Release notes are generated on GitHub. The Makefile release helper is make release-x.y.z.

Local MCP Development

Claude Code:

claude mcp add openrouter --scope user -- uv run --directory /path/to/mcp-openrouter mcp-openrouter

Codex:

codex mcp add openrouter -- uv run --directory /path/to/mcp-openrouter mcp-openrouter

opencode:

"mcp": { "openrouter": { "type": "local", "command": ["uv", "run", "--directory", "/path/to/mcp-openrouter", "mcp-openrouter"], "enabled": true } } }

Architecture

AgentBridge routing

All model requests use AgentBridge as their sole endpoint. Set AGENTBRIDGE_BASE_URL to its API root (default http://127.0.0.1:8082/api/v1). AGENTBRIDGE_API_KEY is an optional gateway access token; upstream OpenRouter credentials are managed only by AgentBridge. Existing model choices are preserved and gain the gateway's openrouter/ namespace on requests. Image generation and embeddings require the gateway application routes; there is no direct-provider fallback.

License

MIT

OpenRouter

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

Install

Commands

Tools

Configuration

Notes

Local MCP Development

Architecture

AgentBridge routing

License