SwaggerHub MCP. Query and map your entire organization's API catalog in chat.
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…and any MCP-compatible client
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SwaggerHub connects your AI client directly to an organization's entire API catalog. It lets you read OpenAPI specifications, map reusable domains, and audit your full API design lifecycle from the terminal.
Instead of clicking through dashboards, your agent can query every API definition, check CI/CD integrations, and pull structural component details instantly.
What your AI agents can do
Get api details
Retrieves general metadata about a specific API definition within SwaggerHub.
Get api version spec
Pulls the complete OpenAPI JSON specification for a designated version of an API.
Get domain details
Gets metadata about a reusable component (domain) that multiple APIs might share.
List every single API owned by you or your organization using list_apis.
Get the full JSON specification for a precise version of an API definition via get_api_version_spec.
List all reusable, shared domains (components) across your entire organization using list_domains.
See a high-level overview of every project cluster within the SwaggerHub account through list_projects.
Check which CI/CD systems (GitHub, AWS, GitLab) are connected and synced to an API definition using list_api_integrations.
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Supported MCP Clients
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SwaggerHub MCP Server: 10 Tools for API Governance
These tools let your agent interact with every part of your SwaggerHub account—from listing all APIs to checking specific CI/CD integrations.
019d760fget api details
Retrieves general metadata about a specific API definition within SwaggerHub.
019d760fget api version spec
Pulls the complete OpenAPI JSON specification for a designated version of an API.
019d760fget domain details
Gets metadata about a reusable component (domain) that multiple APIs might share.
019d760fget project details
Retrieves deep details, including dependencies and members, for a specific project cluster.
019d760flist api integrations
Lists all configured CI/CD integrations—like GitHub or AWS links—for an API definition.
019d760flist api templates
Shows the user every available starting point or template for creating new APIs on SwaggerHub.
019d760flist apis
Lists all API definitions owned by the organization, providing a comprehensive catalog view.
019d760flist domains
Provides a list of every shared component or reusable definition (domain) across the whole platform.
019d760flist projects
Lists all major, top-level project clusters defined within your SwaggerHub account.
019d760fsearch apis
Searches the public or private API catalog using specific keywords or criteria.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with SwaggerHub, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
Forget clicking around dashboards just to check an API spec. Your agent connects directly to your entire corporate API catalog via SwaggerHub, letting you read OpenAPI specs and manage reusable domains straight from the terminal. Instead of manually navigating project clusters or searching through GUIs, your AI client can query every definition, audit CI/CD links, and pull structural details instantly.
To get started, your agent uses list_projects to map out all the top-level project clusters defined in your SwaggerHub account, giving you a high-level overview of your entire technical infrastructure. If you need deeper context on any specific cluster, it'll use get_project_details to retrieve deep metadata, including member lists and critical dependencies.
When you want to see what APIs are actually available, your agent first calls list_apis to pull a comprehensive list of every API definition owned by the organization. If that catalog is too big, it'll use search_apis, letting you narrow down results using specific keywords or criteria against both public and private catalogs.
For any given API, say the 'BillingService', your agent can get general metadata about it using get_api_details. But if you need the actual blueprint—the full OpenAPI JSON specification—for a precise version (like v3.1), it uses get_api_version_spec to pull that exact payload. It'll also check which CI/CD systems are connected and synced to any API definition by calling list_api_integrations, showing links like GitHub, AWS, or GitLab.
It’s not just about the APIs; it’s about the shared parts. Your agent uses list_domains to pull a list of every reusable component—every shared domain across your platform. Then, if you need specifics on one of those components, it calls get_domain_details for the metadata associated with that reusable definition.
If you're building a new service and don't know where to start, your agent can look at all available starting points by invoking list_api_templates, showing every template SwaggerHub offers. The entire process of discovery—from listing every API (list_apis) down to checking its specific version spec (get_api_version_spec), and mapping out shared component dependencies with list_domains and get_domain_details—happens without leaving the command line.
How SwaggerHub MCP Works
- 1 You append the SwaggerHub MCP framework into your AI environment.
- 2 Your agent uses your configured credentials (like
SWAGGERHUB_KEY) to authenticate with the service. - 3 The agent executes a tool call, such as asking for all APIs via
list_apis, and returns structured data directly.
The bottom line is that you talk to your AI agent like it’s a developer console, letting it run API governance checks instead of clicking through web forms.
Who Is SwaggerHub MCP For?
This is for the platform architect who gets frustrated trying to manually map dependencies across dozens of microservices. It's also for the DevOps lead who needs to guarantee that a deployment pipeline actually matches the living API definitions. If you spend half your day jumping between SwaggerHub and Jira, this saves you.
Uses list_apis and get_api_version_spec to pull exact OpenAPI JSON schemas needed for generating new code or defining service boundaries.
Runs list_api_integrations to quickly audit if the latest API definitions are properly synced and configured across AWS, GitHub, and GitLab.
Uses list_domains and get_domain_details to find reusable components (like common date formats or payment tokens) instead of rebuilding them for every service.
What Changes When You Connect
- You instantly audit CI/CD links. By calling
list_api_integrations, you confirm if 'Acme-Billing' v1.0.0 is correctly synced with AWS or GitLab—no need to check a dashboard. - Stop guessing which specs are current. Use
get_api_version_specto pull the exact, validated JSON OpenAPI schema for any API version instantly, making it perfect for code generation logic. - Find shared components faster than searching documentation. Running
list_domainsshows you every reusable part across your whole setup, so you don't waste time redefining common structures. - Get a full organizational map.
list_projectsquickly outlines all major team clusters. You see the entire scope of work without manually navigating project folders. - Never miss an API definition again.
list_apisprovides one centralized view of everything, acting as your single source of truth for every service in the catalog.
Real-World Use Cases
Auditing Dependency Drift
A DevOps Lead needs to know if a critical API ('InventoryService') has been updated in its code repository but hasn't reflected in production. They ask their agent: 'Check the latest version of InventoryService and list all associated integrations.' The agent runs get_api_version_spec followed by list_api_integrations, providing immediate confirmation on sync status, solving a potential deployment failure hours before it happens.
Structuring New Microservices
An API Architect is starting a new payments service. Instead of rebuilding common logic (like currency handling), they ask: 'List all shared domains related to finance.' The agent runs list_domains, retrieving parameters from the centralized component registry, allowing them to build their spec using already validated parts.
Finding a Specific API Quickly
A Backend Engineer knows an API exists but doesn't know which project it belongs to. They ask: 'Search for APIs related to customer onboarding.' The agent uses search_apis, pulling up all relevant candidates, saving the engineer from manually checking dozens of project listings.
Reviewing Project Scope
A Product Manager wants an overview of what engineering is actually working on. They ask: 'List all active projects.' The agent runs list_projects, providing a clean, structured list that immediately shows the scope and scale of work across departments.
The Tradeoffs
Using only basic search
A developer just types 'payment' into the UI search bar. They get a long, messy list with no versioning or structural context.
→
Instead of searching broadly, use search_apis to find candidates, then immediately call get_api_version_spec on the promising result to pull the validated OpenAPI JSON schema.
Manually checking integrations
The DevOps team spends an afternoon clicking into 15 different API definitions just to verify if the AWS Gateway integration is still active.
→
Run list_api_integrations once. The agent returns a clean list, confirming sync status and last run times for every connected service immediately.
Assuming components are unique
A new engineer builds a date field structure only to find out another team already built the exact same thing three years ago.
→
Always check first. Use list_domains and then get_domain_details to verify if that shared component exists and is available for reuse across your organization.
When It Fits, When It Doesn't
Use this server if your job involves auditing, mapping, or programmatically inspecting an entire ecosystem of microservices. If you need a single source of truth for API governance—where versioning (via get_api_version_spec) and dependency tracking (list_domains, list_api_integrations) are critical to your workflow, this is what you need.
Don't use it if: You just want a simple reference guide or only care about the documentation for one API. In those cases, opening the SwaggerHub UI might be faster. If you only need to see an API but don't need its JSON schema or integration status, other tools are fine. But if you work with specs and pipelines, this is essential.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by SwaggerHub. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Navigating a microservice architecture shouldn't require logging into ten different dashboards.
Today, figuring out what APIs your team actually owns feels like an archaeological dig. You open the project dashboard, click through three levels of folders, and then try to manually cross-reference which services are using which component definitions. It's slow, error-prone, and you always miss something.
With this MCP server, you ask your agent directly: "What APIs exist for payments?" The agent runs `list_apis` and gives you a clean list of everything. You get immediate scope visibility without clicking through a single folder structure.
SwaggerHub MCP Server allows deep API introspection with `get_api_version_spec`.
Before this, getting the true, current schema for 'Acme-Billing' version 1.0 was a multi-step process: find the project, click the service name, select the version dropdown, and then copy the raw JSON from the resulting page.
Now, your agent runs `get_api_version_spec('PaymentAPI', '2.0.0')` and returns the structured OpenAPI JSON schema in seconds. It's instant access to the foundational data you need.
Common Questions About SwaggerHub MCP
How do I check if an API is connected to AWS using list_api_integrations? +
Run list_api_integrations on your target API. The output will show a list of all configured integrations, including the type and status for AWS API Gateway syncs.
Can I find shared code components using list_domains? +
Yes. list_domains shows every reusable component your organization owns. You then use get_domain_details to see the specific parameters available for reuse across different APIs.
Which tool should I use if I need the latest OpenAPI JSON schema? +
Use get_api_version_spec. This tool requires you to specify both the API name and the exact version number (e.g., 'v2.0.0') to ensure you get the correct, validated spec.
How do I see all APIs in my organization? +
The list_apis tool shows every API definition owned by your account or organization, giving you a complete catalog view without needing keyword searches.
I need to find an API but don't know its exact name; how do I use `search_apis`? +
Run search_apis with keywords. This queries the public registry and returns multiple potential matches, allowing you to narrow down exactly what you're looking for.
How do I determine the scope of APIs within a team using `list_projects`? +
First, run list_projects. This shows your core organizational groupings. Then, use get_project_details to see exactly which component definitions are tied into that specific project.
If I need a boilerplate API definition, how do I use `list_api_templates`? +
This tool lists available API blueprints. You grab a template and then run get_api_version_spec to pull the full OpenAPI structure for quick customization.
What specific data points does `get_domain_details` provide for shared components? +
You get detailed metadata about that domain. This confirms its dependencies, provides usage guidelines, and outlines what parameters are required across different projects.
Can the agent interact with public APIs outside my specific organizational ecosystem? +
Yes. Beyond listing your own API configurations, the integration includes powerful global metadata tools like search_apis allowing you to query keyword structures discovering public interfaces readily.
How securely does the system parse potentially heavy or oversized API configurations locally? +
Yes. The integration parses large JSON configurations securely and natively, ensuring large multi-megabyte API definitions are safely parsed without memory timeouts.
Can the AI modify or publish new API specifications? +
The integration is primarily read-oriented — it retrieves specs, domains, projects, and integration configs. To publish or edit specs you would use the SwaggerHub editor or its write API endpoints separately.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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