Postman Connector for AI agents.
9 live capabilities
Manage API collections and mock servers through a conversational interface.
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Why people use Postman
Postman API Lifecycle Management for Teams
This Connector lets the AI do that work for you. Your agent can look up the collection, see the environment variables, and verify the mock server status in one go. You get a conversational way to interact with your actual API infrastructure, ensuring the code the AI writes actually works the first time.
What Vinkius changes
That your AI finally has the same map of your API infrastructure that your dev team uses every day.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Finding mock URLs for UI bindings
A frontend dev is stuck on a login page.
- Real-world use case 02
Verifying staging environment URLs
A backend engineer needs to know if the staging URL changed.
- Real-world use case 03
Debugging failed scheduled monitors
A QA tester sees a red light on a dashboard.
Complete set · 9capabilities
The complete Postman capability set.
These are the exact actions your AI can choose when you ask it to work with Postman.
01—03
3 capabilities in this set.
Part of 9 available through Postman.
- 01 Capability
Get workspace details
Get details and items for a specific workspace
- 02 Capability
List apis
APIs represent a higher-level grouping that can include multiple versions and schemas. List all API definitions
- 03 Capability
List environments
Shows your development environments and their specific variables. This lets the AI know the difference between staging and production.
04—06
3 capabilities in this set.
Part of 9 available through Postman.
- 04 Capability
List workspaces
Lists every engineering workspace available to your team. You can use this to see the full scope of your team's projects.
- 05 Capability
Get collection details
Get details and requests for a specific collection
- 06 Capability
List mocks
Lists the mock servers you've set up for front-end testing. It helps your agent find the right URLs for your UI bindings.
07—09
3 capabilities in this set.
Part of 9 available through Postman.
- 07 Capability
Get environment details
Get variables and details for an environment
- 08 Capability
List collections
Shows all API Collections in your Postman account. This helps the AI understand what APIs are available.
- 09 Capability
List monitors
Shows your API health monitors and their recent success or failure history. You can use this to check for errors in your scheduled cron checks.
Set up in minutes
One URL. Then ask Postman to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Postman from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_0K4qtkIFA5sn8n9HRmta4uR6Lfy8jZ7oHngivRhy/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Postman, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Postman for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_0K4qtkIFA5sn8n9HRmta4uR6Lfy8jZ7oHngivRhy/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Postman URL.
- Step 03
Save and start
Save the connection and enable Postman in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"postman": {
"url": "https://edge.vinkius.com/vk_preview_0K4qtkIFA5sn8n9HRmta4uR6Lfy8jZ7oHngivRhy/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Postman
Open Agent mode in chat and ask: "Using Postman, help me...". 9 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"postman": {
"url": "https://edge.vinkius.com/vk_preview_0K4qtkIFA5sn8n9HRmta4uR6Lfy8jZ7oHngivRhy/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Postman
Ask Copilot: "Using Postman, help me...". 9 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"postman": {
"url": "https://edge.vinkius.com/vk_preview_0K4qtkIFA5sn8n9HRmta4uR6Lfy8jZ7oHngivRhy/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Postman
Open Cascade and ask: "Using Postman, help me...". 9 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"postman": {
"url": "https://edge.vinkius.com/vk_preview_0K4qtkIFA5sn8n9HRmta4uR6Lfy8jZ7oHngivRhy/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Postman
Ask Cline: "Using Postman, help me...". 9 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add postman --transport http "https://edge.vinkius.com/vk_preview_0K4qtkIFA5sn8n9HRmta4uR6Lfy8jZ7oHngivRhy/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Postman
Ask Claude: "Using Postman, show me...". 9 tools are ready
Where the request belongs
Work Postman can move forward.
The backend engineer who's tired of copy-pasting cURL commands, the frontend dev building UI against mocks, and the QA tester who needs to monitor health checks without a dashboard.
Backend Engineer
You use this on a Tuesday afternoon to verify if your staging environment URLs are correct without leaving your IDE.
Frontend Developer
You ask the agent to find the exact HTTP payloads and mock URLs for your new UI components so you don't have to hunt for them.
QA Tester
You use this to quickly check which scheduled monitors failed over the weekend and what the specific error codes were.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Treblle
Monitor, document, and analyze your API traffic in real-time. Ingest request and response data directly into Treblle for instant observability.
Beeceptor
Mock APIs, intercept requests, and manage proxy rules directly from your AI agent.
Moesif
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SwaggerHub
Connect your AI to SwaggerHub. Read OpenAPI specifications, explore domains, and manage your API design lifecycle natively from the terminal.
Bring your own AI
Change the model, client or framework. Keep Postman connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Postman.
The practical details behind the request, access and result.
Can the Postman MCP help me write better API requests?
Yes. It pulls the full schema of your collections so your agent knows exactly which headers, methods, and body parameters are required for your specific endpoints.
How do I use Postman MCP to check my production health?
Your agent can check your scheduled monitors to see the success or failure history of your API health checks without you having to open a separate dashboard.
Can my AI agent see my different environments?
Yes. It can list your environments and their variables, which helps the agent distinguish between your staging, production, and local setups.
How does Postman MCP handle mock servers?
It lets your agent identify active mock servers so you can quickly get the correct URLs and simulated responses for your front-end testing.
Can I use this to learn my internal API schemas?
Yes. By pulling your collections, the agent learns the internal structure of your APIs, making it much more accurate when generating code or documentation.
Does Postman MCP work with Cursor?
Yes, it works with any MCP-compatible client, including Cursor, Claude, and Windsurf, to bring your API data into your workspace.
Will my AI agent know the difference between staging and prod?
Yes. Because the agent can read your environment variables, it understands the specific configurations for different stages of your deployment.
Can the AI automatically write code using my internal API documentation?
Absolutely. If you use get_collection the AI unpacks the entire Postman hierarchy. Combine this by asking the AI to 'write a Python script to hit my Users Endpoint' and it will natively respect your headers, payload requirements, and auth settings without any context copy-pasting.
How does the agent handle environments like production vs staging variables?
The agent can call list_environments exposing active configurations inside your workspace. If a collection points to {{base_url}}, the AI reads your environments array to resolve exactly what URLs or access keys map to staging versus production natively.
Can I query test success rates via AI instead of dashboards?
Yes. The list_monitors connection unrolls the cron checks tied to your Postman collections. The AI inherently sees whether the latest automated integration tests succeeded or failed, making status reports conversational.
Can my AI automatically find the details of a specific collection just by providing its ID?
Yes! Use the get_collection_details capability with the unique ID. Your agent will respond with complete structure, requests, and metadata in seconds.
How do I check my API monitors status?
Simply ask the agent to run the list_monitors capability. It will compile all scheduled monitors and their latest results configured for your environment.
Does the integration permit modifying collections?
No. The core set of capabilities focuses strictly on querying and analyzing API context—listing workspaces, collections, and environments. State alteration operations are not currently exposed.
One connection away
Give your agent a direct line to Postman.
Connect Postman once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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