Bring Workflow Automation
to OpenAI Agents SDK
Learn how to connect SketricGen to OpenAI Agents SDK and start using 18 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the SketricGen MCP Server?
Empower your AI agents to securely orchestrate complex workflows using the SketricGen platform. With 18 dedicated tools, your AI can now programmatically trigger multi-agent tasks, inject relevant contacts into context, construct searchable knowledge bases, and granularly inspect execution traces.
What you can do
- Execute complex multi-agent workflows programmatically
- Create and query vector-searchable knowledge bases
- Debug executions with full tracing capabilities
- Track tool calls and credit consumption per run
- Access and manage CRM-style contact profiles
- Maintain distinct conversation histories
How it works
1. Subscribe to this server 2. Enter your SketricGen API Key (found in your account dashboard) 3. Start deploying orchestrated multi-agent systems via VinkiusWho is it for?
Designed for AI engineers, prompt designers, and automation teams seeking an advanced orchestration layer with full traceability for complex agentic workflows.Built-in capabilities (18)
Verify connectivity
Delete conversation
Get agent details
Get contact details
Get conversation
Get knowledge base
Get trace details
Get trace credit usage
Get workflow details
List AI agents
List contacts
List conversations
List knowledge bases
List templates
List execution traces
List workflows
Run AI workflow
Run workflow for contact
Why OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 18 tools from SketricGen through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries SketricGen, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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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
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Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
SketricGen in OpenAI Agents SDK
SketricGen and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect SketricGen 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 | 3,400+ 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 SketricGen in OpenAI Agents SDK
The SketricGen 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 18 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
SketricGen for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the SketricGen MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can my AI analyze the execution steps of a specific workflow?
Simply use the debug_workflow_trace tool. Your agent will instantly retrieve the execution trace, detailing every tool call, data transfer between agents, and total credit consumption per run.
Is it possible to programmatically manage and query documents for my agents?
Yes. By executing the manage_knowledge_base action, your AI agent can upload files (PDF, DOCX, TXT, HTML) or search existing repositories to provide context-aware, highly accurate responses.
Can I automatically trigger workflows tied to specific customer records?
Absolutely. Ask the agent to use the run_workflow_for_contact tool. It will execute the designated workflow while injecting the specific contact's history, enabling personalized, data-driven outputs.
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.