Infisical MCP Server for OpenAI Agents SDK 9 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Infisical through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="Infisical Assistant",
instructions=(
"You help users interact with Infisical. "
"You have access to 9 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Infisical"
)
print(result.final_output)
asyncio.run(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 Infisical MCP Server
Connect Infisical to your AI agent and manage your secrets infrastructure through natural conversation.
The OpenAI Agents SDK auto-discovers all 9 tools from Infisical through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Infisical, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Secret Management — List, get, create, update, and delete secrets across any environment
- Project Overview — Query project configurations and metadata
- Environment Navigation — Browse and switch between dev, staging, and production environments
- Audit Logging — Access detailed audit logs for compliance and security tracking
- Identity Management — List and manage service identities and access controls
The Infisical MCP Server exposes 9 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 Infisical to OpenAI Agents SDK via MCP
Follow these steps to integrate the Infisical 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 9 tools from Infisical
Why Use OpenAI Agents SDK with the Infisical MCP Server
OpenAI Agents SDK provides unique advantages when paired with Infisical 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
Infisical + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Infisical MCP Server delivers measurable value.
Automated workflows: build agents that query Infisical, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Infisical, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Infisical tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Infisical to resolve tickets, look up records, and update statuses without human intervention
Infisical MCP Tools for OpenAI Agents SDK (9)
These 9 tools become available when you connect Infisical to OpenAI Agents SDK via MCP:
create_secret
The key must not already exist at that path. Use this to provision new configuration values or credentials. Create a new secret in the Infisical project
delete_secret
This action cannot be undone. Use with caution. Delete a secret from the Infisical project
get_project_info
Get information about the configured Infisical project
get_secret
Requires the exact key name as stored in Infisical. Optionally specify a path if the secret is not at the root level. Get a specific secret by its key name
list_audit_logs
Essential for compliance and security monitoring. List recent audit log entries for the project
list_environments
g., dev, staging, prod) configured for the project. Use this to discover available environments before switching context. List all environments in the configured Infisical project
list_identities
Useful for auditing automated access. List all machine identities configured in the organization
list_secrets
Defaults to the root path "/" if no path is provided. Use this to audit what secrets are available or to verify configuration. List all secrets in a given path of the current project and environment
update_secret
The key must exist; use create_secret for new entries. Update the value of an existing secret
Example Prompts for Infisical in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Infisical immediately.
"List all secrets in the production environment."
Troubleshooting Infisical MCP Server with OpenAI Agents SDK
Common issues when connecting Infisical to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Infisical + OpenAI Agents SDK FAQ
Common questions about integrating Infisical MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Infisical 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 Infisical to OpenAI Agents SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.