Apideck MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 6 tools to Create Vault Session, Delete Vault Connection, Execute Proxy, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Apideck 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 for OpenAI Agents SDK
The Apideck MCP Server for OpenAI Agents SDK is a standout in the Developer Tools category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="Apideck Assistant",
instructions=(
"You help users interact with Apideck. "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Apideck"
)
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 Apideck MCP Server
Connect Apideck to your AI agent to streamline how you interact with multiple SaaS platforms. By using Apideck's Unified APIs, your agent can communicate with various CRM providers and manage user integrations without writing custom code for every service.
The OpenAI Agents SDK auto-discovers all 6 tools from Apideck through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Apideck, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Unified CRM Access — List and filter contacts across different CRM providers like Salesforce, HubSpot, or Pipedrive using the
list_crm_contactstool. - Vault Management — Create sessions for users to link their own accounts (
create_vault_session), list existing connections, and retrieve or delete specific service links. - API Proxying — Execute direct requests to downstream service endpoints using
execute_proxywhen you need specific functionality not covered by the unified schema. - Connection Auditing — Inspect the status and details of active integrations using
get_vault_connectionto ensure data flow is healthy.
The Apideck MCP Server exposes 6 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 6 Apideck tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to Apideck through Vinkius, your AI agent gets direct access to every tool listed below — spanning unified-api, crm-integration, vault, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Create vault session on Apideck
Create a Vault session
Delete vault connection on Apideck
Delete a Vault connection
Execute proxy on Apideck
Execute a Proxy API request
Get vault connection on Apideck
Get a specific Vault connection
List crm contacts on Apideck
g., salesforce, hubspot) using the Unified CRM API. List CRM contacts from a unified integration
List vault connections on Apideck
List Vault connections
Connect Apideck to OpenAI Agents SDK via MCP
Follow these steps to wire Apideck into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Apideck MCP Server
OpenAI Agents SDK provides unique advantages when paired with Apideck 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
Apideck + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Apideck MCP Server delivers measurable value.
Automated workflows: build agents that query Apideck, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Apideck, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Apideck tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Apideck to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Apideck in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Apideck immediately.
"List all CRM contacts from the hubspot integration."
"Show me all active Vault connections for the current consumer."
"Create a Vault session with a redirect URI to https://example.com/dashboard."
Troubleshooting Apideck MCP Server with OpenAI Agents SDK
Common issues when connecting Apideck to OpenAI Agents SDK through Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Apideck + OpenAI Agents SDK FAQ
Common questions about integrating Apideck 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?
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