SwaggerHub MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect SwaggerHub through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"swaggerhub": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "SwaggerHub Agent",
instructions:
"You help users interact with SwaggerHub " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with SwaggerHub?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About SwaggerHub MCP Server
Integrate SwaggerHub, the enterprise platform for API design and documentation, directly into your conversational workflows with the intelligent MCP connector. Transform your LLM into an active technical architect, empowering it to securely index, validate, and retrieve full OpenAPI specifications directly from your organizational directories. Eradicate context-switching by verifying CI/CD integration pipelines, scanning centralized API definitions, and pulling structural component domains intuitively without having to hunt through graphical interfaces.
Mastra's agent abstraction provides a clean separation between LLM logic and SwaggerHub tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- API Cataloging & Specs — Query an entire organizational API roster using
list_apisand pull exact OpenAPI JSON configurations cleanly callingget_api_version_spec. - Component Reusability Insights — Investigate generic shared definitions executing
list_domainsand fetch core parameters seamlessly viaget_domain_details. - Project & Lifecycle Control — Map team infrastructures inspecting groupings natively with
list_projectsand verify operational logic by callingget_project_details. - Ecosystem Verification — Audit backend dependencies natively invoking
list_api_integrationsto test GitHub, AWS, and GitLab sync parameters tied to your specs.
The SwaggerHub MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect SwaggerHub to Mastra AI via MCP
Follow these steps to integrate the SwaggerHub MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from SwaggerHub via MCP
Why Use Mastra AI with the SwaggerHub MCP Server
Mastra AI provides unique advantages when paired with SwaggerHub through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add SwaggerHub without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every SwaggerHub tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
SwaggerHub + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the SwaggerHub MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query SwaggerHub, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed SwaggerHub as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query SwaggerHub on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using SwaggerHub tools alongside other MCP servers
SwaggerHub MCP Tools for Mastra AI (10)
These 10 tools become available when you connect SwaggerHub to Mastra AI via MCP:
get_api_details
Retrieves metadata for a SwaggerHub API definition
get_api_version_spec
Retrieves a specific version of a SwaggerHub API definition (OpenAPI spec)
get_domain_details
Retrieves metadata for a SwaggerHub domain
get_project_details
Retrieves details of a SwaggerHub project
list_api_integrations
Lists all CI/CD integrations configured for a SwaggerHub API
list_api_templates
Lists all available API templates on SwaggerHub
list_apis
List all API definitions owned by a SwaggerHub user or organization
list_domains
Lists all shared domains (reusable components) owned by a user or org
list_projects
Lists all projects in a SwaggerHub organization
search_apis
Search all public APIs on SwaggerHub by keyword
Example Prompts for SwaggerHub in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with SwaggerHub immediately.
"Search for public API specifications related to 'payment gateway' on SwaggerHub."
"List all active projects in our SwaggerHub organization."
"Ensure that the 'Acme-Billing' API has AWS API Gateway integration synced currently."
Troubleshooting SwaggerHub MCP Server with Mastra AI
Common issues when connecting SwaggerHub to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpSwaggerHub + Mastra AI FAQ
Common questions about integrating SwaggerHub MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect SwaggerHub with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect SwaggerHub to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.