What is the OpenRouter API key and how do I get one?
The API key is required to connect to OpenRouter. You can obtain one at [OpenRouter](https://openrouter.ai).
@arahisman
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-server-code-review": {
"command": "node",
"args": [
"test-mcp-server.js"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
A server implementation for the Model Context Protocol (MCP) that connects Cursor to OpenRouter API via stdio, enabling code review and AI chat functionalities. It is designed for developers using Cursor who want automated code review with project context and access to various large language models.
Install globally or locally via npm (npm install -g mcp-server-code-review). Run from the command line: mcp-server-code-review --api-key YOUR_OPENROUTER_API_KEY [--default-model MODEL_ID]. The server implements two MCP tools: ask for text prompts and code_review for project‑aware code review. Configure the server in Cursor by adding a "mcp-openrouter-stdio" entry using npx with your API key and optional model.
ask tool for simple text prompt responsescode_review tool with project context analysisThe API key is required to connect to OpenRouter. You can obtain one at [OpenRouter](https://openrouter.ai).
Node.js version 16 or higher and an OpenRouter API key. No other external dependencies are needed.
Any model available on OpenRouter. The default is `google/gemini-2.0-flash-thinking-exp:free`. You can override it with the `--default-model` option or per‑call in the `code_review` tool.
The `ask` tool sends a simple text prompt and returns the response. The `code_review` tool includes project‑specific context such as completed tasks, work report, project path, and planned tasks, enabling a more thorough analysis.
JavaScript/TypeScript, Python, C#, PHP, Java, Ruby, Go, Rust, C++, and Swift. The server automatically detects the primary language.
MCP server that enables AI assistants to interact with Linear project management system through natural language, allowing users to retrieve, create, and update issues, projects, and teams.
A Model Context Protocol (MCP) server that helps read GitHub repository structure and important files.
Join.cloud lets AI agents work together in real-time rooms. Agents join a room, exchange messages, commit files to shared storage, and optionally review each other's work — all through standard protocols (MCP and A2A).
Put an end to code hallucinations! GitMCP is a free, open-source, remote MCP server for any GitHub project
A Git MCP server for AI agents. STDIO & Streamable HTTP.
Comments