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Connect AI coding assistants to OpenRouter for queries, file analysis, and batch tasks.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "OpenRouter MCP Bridge" yet — see the docs or source repo.
Using OpenRouter MCP Bridge, read the core source files of this project, summarize the system architecture and main module responsibilities, and identify five refactoring issues to prioritize.
A summary of the project structure, module responsibilities, and a prioritized list of refactoring recommendations with reasons.
Using OpenRouter MCP Bridge, batch read all Markdown files in the docs directory, extract each document's topic, missing sections, and duplicate content, then output a consolidated table.
A consolidated document table with topic summaries, content gaps, and duplicate-content notes.
Using OpenRouter MCP Bridge, call an appropriate model to review this API design, focusing on naming, consistency, error handling, and extensibility.
A structured review with issue lists, risk explanations, and improvement suggestions.
Convert OpenAPI specs into MCP tools for fast LLM API integration.
Expose an OpenAI-compatible endpoint to access and orchestrate MCP tools.
Let AI assistants use OpenCode CLI and multiple models through one interface.
Lets AI control the browser for web actions, extraction, and testing.
Convert OpenAPI files into tailored MCP servers with only needed tools.
Generate MCP tools from OpenAPI specs for natural-language API interaction.