- INVENTORY
- STRUCTURE
- DETAILS
- HUMAN
Short answer
How can I map my API landscape with AI?
Your AI queries SwaggerHub to pull project lists and API inventories. You get a structured view of your entire technical environment.
Where your data lands.
The outcomes of your mapping.
The AI organizes your SwaggerHub data into these specific views.
INVENTORY
Complete API lists
The AI pulls every API from your selected projects. You get a clean list of what's currently in your environment.
STRUCTURE
Project groupings
The AI identifies how your APIs are organized into projects. This helps you see the hierarchy of your technical landscape.
DETAILS
Deep dive specs
The AI pulls specific configuration and metadata for a chosen project. You can ask about specific endpoints or project configurations.
HUMAN
Manual updates
The AI cannot edit your SwaggerHub definitions. You still handle all changes and documentation updates in the SwaggerHub UI.
The workflow
What your AI does when the request arrives.
The AI uses your SwaggerHub connection to scan and organize your data.
Scan projects
The AI identifies all available project containers in your SwaggerHub account.
list_projectsAudit APIs
The AI looks through those projects to find every API definition hosted there.
list_apisExtract details
The AI pulls specific configuration and metadata for a chosen project.
get_project_detailsBuild map
The AI correlates the projects and APIs to answer your structural questions.
list_projectslist_apis
Try it
Copy these to start.
Use these prompts to begin mapping your environment.
Starting points
These are opening lines. Swap out the project or API names for your actual SwaggerHub identifiers.
SwaggerHub Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_yxaBIFA3ShjsASSaz8QU0k25zGEdGatXEvFXcUe2/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — SwaggerHub capabilities are ready to use.
{
"mcpServers": {
"swaggerhub-mcp": {
"url": "https://edge.vinkius.com/vk_preview_yxaBIFA3ShjsASSaz8QU0k25zGEdGatXEvFXcUe2/mcp"
}
}
}List all the projects currently in my SwaggerHub account.
Show me all the APIs inside the 'Payment Gateway' project.
Give me a summary of the project details for 'User Auth Service'.
Map out my API landscape by listing all projects and their associated APIs.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect SwaggerHub once, then ask.
One connection gives your AI access to your SwaggerHub data. Your credentials stay encrypted, and you can start querying immediately.
Connect SwaggerHub to your AIFAQ
How this task behaves.
- 01
Can the AI edit my API definitions?
No. The AI can only read project and API data from SwaggerHub.
- 02
Can I use this to create new projects?
No. The tools only allow the AI to list and retrieve existing data.
- 03
Does the AI see all my SwaggerHub data?
The AI only sees the data it can access through the specific tools provided in the manifest.
- 04
How does the AI know which API belongs to which project?
The AI uses the project and API lists to build that relationship during your conversation.
- 05
Can I ask about a specific API endpoint?
Yes, as long as that information is contained within the project details the AI retrieves.
More questions about SwaggerHub? The Connector page answers them. See everything the SwaggerHub Connector can do
Connect SwaggerHub to Claude, Cursor, ChatGPT & more
