Keywords AI MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 11 tools to Check Keywordsai Status, Get Analytics, Get Credits, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Keywords AI through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The Keywords AI app connector for OpenAI Agents SDK is a standout in the Developer Tools category — giving your AI agent 11 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="Keywords AI Assistant",
instructions=(
"You help users interact with Keywords AI. "
"You have access to 11 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Keywords AI"
)
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 Keywords AI MCP Server
Connect your Keywords AI account to any AI agent and monitor LLM performance.
The OpenAI Agents SDK auto-discovers all 11 tools from Keywords AI through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Keywords AI, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Request Logs — List and filter all LLM API calls by model
- Cost Tracking — Monitor credit balance and usage statistics
- Analytics — View cost trends, latency metrics, and error rates
- Model Catalog — Browse available LLM models
- Team Management — List users and view activity
- Alerts — Review monitoring thresholds
The Keywords AI MCP Server exposes 11 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.
All 11 Keywords AI tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to Keywords AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning llm-observability, api-gateway, cost-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Verify API connectivity
Get analytics dashboard
Get credit balance
Get request details
Get usage statistics
Get user details
List monitoring alerts
List available models
List API request logs
List requests by model
List team users
Connect Keywords AI to OpenAI Agents SDK via MCP
Follow these steps to wire Keywords AI into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the 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 Keywords AI MCP Server
OpenAI Agents SDK provides unique advantages when paired with Keywords AI 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
Keywords AI + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Keywords AI MCP Server delivers measurable value.
Automated workflows: build agents that query Keywords AI, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Keywords AI, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Keywords AI tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Keywords AI to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Keywords AI in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Keywords AI immediately.
"Show my current credit balance."
"List all requests using GPT-4."
"Show analytics dashboard."
Troubleshooting Keywords AI MCP Server with OpenAI Agents SDK
Common issues when connecting Keywords AI to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Keywords AI + OpenAI Agents SDK FAQ
Common questions about integrating Keywords AI 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.