Can I fetch full OpenAPI specifications through my agent?

Yes. Use the `get_file` tool by providing the relevant Org, Project, and File IDs. Your agent will retrieve the exact content payload, allowing you to inspect or summarize the API structure directly in your workspace.

How do I see the environments defined in a team project?

The `list_environments` tool allows your agent to extract base environments scoped within a project. You'll see the environment names and variable counts, helping you identify available stages for your API calls.

Can my agent check if a mock server is currently online?

Absolutely. Use the `list_mocks` tool to retrieve all mock servers linked to your projects. Your agent will report their current operational state, names, and hosted URLs for testing purposes.

Insomnia (Collaborative API Design) MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Insomnia (Collaborative API Design)
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Insomnia (Collaborative API Design) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Insomnia (Collaborative API Design) Assistant",
            instructions=(
                "You help users interact with Insomnia (Collaborative API Design). "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Insomnia (Collaborative API Design)"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Insomnia (Collaborative API Design) MCP Server

Connect your Insomnia Cloud account to any AI agent and take full control of your collaborative API development and design lifecycle through natural conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from Insomnia (Collaborative API Design) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Insomnia (Collaborative API Design), another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Organization & Project Management — List all organizations and team projects to navigate your API design and debugging environments effortlessly
API File Inspection — Retrieve exact content payloads for design documents and request collections, including full OpenAPI/Swagger specifications
Environment Audit — List project environments and variable counts to understand stage-specific configurations like base URLs and auth tokens
Team Collaboration — Identify registered members and roles in your organization and track collaborative progress across parallel feature branches
Mock Server Monitoring — Analyze deployed mock servers linked to your projects, including their operational states and hosted endpoints
AI Insights — Query AI-powered request logs and test suggestions generated within your Insomnia organization to improve API quality

The Insomnia (Collaborative API Design) MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 Insomnia (Collaborative API Design) to OpenAI Agents SDK via MCP

Follow these steps to integrate the Insomnia (Collaborative API Design) MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Insomnia (Collaborative API Design)

Why Use OpenAI Agents SDK with the Insomnia (Collaborative API Design) MCP Server

OpenAI Agents SDK provides unique advantages when paired with Insomnia (Collaborative API Design) through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Insomnia (Collaborative API Design) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Insomnia (Collaborative API Design) MCP Server delivers measurable value.

Automated workflows: build agents that query Insomnia (Collaborative API Design), process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Insomnia (Collaborative API Design), another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Insomnia (Collaborative API Design) tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Insomnia (Collaborative API Design) to resolve tickets, look up records, and update statuses without human intervention

Insomnia (Collaborative API Design) MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Insomnia (Collaborative API Design) to OpenAI Agents SDK via MCP:

get_file

Get full details of an Insomnia file including name, type, content (spec/collection JSON), and version history

get_user

Helps audit basic permission identity context. Get the authenticated Insomnia user profile. Returns username, email, plan, and org memberships

list_ai_requests

Exposes usage metrics and metadata surrounding Insomnia AI interactions. List AI-powered API requests generated in an Insomnia organization. Returns AI-generated specs and test suggestions

list_branches

Useful to track collaborative progress across multiple parallel feature branches. List branches of an Insomnia file. Git-like branching for API specs and collections. Returns branch names and statuses

list_collaborators

List members in an Insomnia organization. Returns usernames, emails, roles, and access levels

list_environments

Environments are the primary way Insomnia abstracts configuration, injecting values into execution payloads. List environments in an Insomnia project. Environments hold variables (base URLs, tokens) for different stages. Returns env names and variable counts

list_files

Use to locate the specific file_id for fetching API definitions. List files in an Insomnia project. Files include API specs (OpenAPI/Swagger), request collections, and design documents. Returns names, types, and last modified dates

list_mocks

List mock servers in an Insomnia project. Mock servers simulate API responses for testing. Returns mock names, URLs, and statuses

list_orgs

Use this to find the appropriate org_id needed for subsequent project or file operations. List all organizations on Insomnia Cloud. Insomnia (by Kong) is a leading API design, debugging, and testing tool supporting REST, GraphQL, gRPC, and WebSockets. Returns org names, IDs, and member counts

list_projects

Projects contain design files, requests, environments, and mock servers. List team projects in an Insomnia organization. Projects group API specs, collections, and environments. Returns project names and IDs

Example Prompts for Insomnia (Collaborative API Design) in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Insomnia (Collaborative API Design) immediately.

"List all my Insomnia projects in organization 'org-123'"

"Show me the OpenAPI spec for the 'Payments API' file"

"What are the active mock servers in our 'Inventory' project?"

Troubleshooting Insomnia (Collaborative API Design) MCP Server with OpenAI Agents SDK

Common issues when connecting Insomnia (Collaborative API Design) to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Insomnia (Collaborative API Design) + OpenAI Agents SDK FAQ

Common questions about integrating Insomnia (Collaborative API Design) MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.