Bring Api Monitoring
to OpenAI Agents SDK
Learn how to connect Treblle to OpenAI Agents SDK and start using 1 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Treblle MCP Server?
Connect your Treblle account to your AI agent to streamline API monitoring and observability. This server allows you to send API traffic data directly to Treblle, helping you maintain high-quality documentation and security standards.
What you can do
- API Ingestion — Send full request and response payloads to your Treblle dashboard using the
ingest_api_datatool. - Observability — Monitor API performance and errors in real-time as your agent processes or simulates traffic.
- Automatic Masking — Ensure security with Treblle's built-in masking for sensitive fields like passwords and credit card numbers.
- Custom Metadata — Attach trace IDs, user IDs, or environment identifiers to your ingested data for better filtering.
How it works
- Subscribe to this server
- Enter your Treblle API Key and SDK Token
- Start ingesting API data directly from your conversation or automated workflows
Who is this for?
- Backend Developers — quickly log and debug API interactions without manual instrumentation
- DevOps Engineers — monitor API health and traffic patterns directly from the terminal or AI assistant
- QA Engineers — capture and report API errors with full context during testing phases
Built-in capabilities (1)
Sensitive fields (passwords, CCs, SSNs) are automatically masked before transmission. Send API request/response data to Treblle
Why OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 1 tools from Treblle through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Treblle, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
- —
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
Treblle in OpenAI Agents SDK
Treblle and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Treblle to OpenAI Agents SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Treblle in OpenAI Agents SDK
The Treblle 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. All 1 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in OpenAI Agents SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Treblle for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the Treblle MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I send API traffic data to my Treblle dashboard?
Use the ingest_api_data tool. You need to provide the JSON payload containing the server, request, and response information as defined in the Treblle schema.
Is my sensitive data like passwords or credit cards safe when ingesting?
Yes. Treblle automatically masks sensitive fields (passwords, CCs, SSNs) before the data is transmitted and stored, ensuring compliance and security.
Can I add custom identifiers like a trace-id to the ingested data?
Absolutely. You can use the optional metadata parameter in the ingest_api_data tool to include flat key-value pairs like trace-id, user-id, or env-id.
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.
Can I use multiple MCP servers in one agent?
Yes. Pass a list of 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?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
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.
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