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Lets AI agents create, run, and save API request collections in projects.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.gudlab/gud-api-mcp" MCP server from askskill: Run: claude mcp add 'io-github-gudlab-gud-api-mcp' -- npx -y @gudlab/gud-api-mcp
Create a Gud API collection for this project with three requests: user login, get user profile, and update profile, then save it in the project.
A Gud API collection containing three API requests is created and saved.
Run the 'Get order list' request from the Gud API collection in the project and return a summary of the result.
The specified API request is executed and its result or a summary is returned.
Organize the scattered API calls in the current project into one Gud API collection, grouped by auth, users, and orders, then save it.
API requests in the project are organized into a structured collection and saved.
Developers can ask an AI agent to organize commonly used requests into Gud API collections during API development or integration. This keeps project API requests reusable instead of scattered across temporary scripts or chat history.
When teams need to verify API responses, they can let an AI agent run API requests stored in the project. This helps speed up basic invocation and result checking.
It is an MCP tool that lets AI agents create, run, and save API requests in a project as Gud API collections.
Yes. Based on the description, it can not only create and run API requests but also save them as Gud API collections in the project.
The provided information does not include installation steps, runtime requirements, or key requirements. See the source repository for specifics.
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