Observe.AI MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Observe.AI 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="Observe.AI Assistant",
instructions=(
"You help users interact with Observe.AI. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Observe.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 Observe.AI MCP Server
Connect your Observe.AI account to your AI agent and gain deep visibility into your contact center performance and conversation intelligence through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from Observe.AI through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Observe.AI, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Interaction Monitoring — List and inspect all calls, chats, and emails processed by the platform, including metadata and analysis.
- Full Transcripts — Retrieve the complete text transcripts for any call or chat interaction for detailed review.
- QA & Evaluations — Access quality assurance scores, evaluation forms, and individual agent performance metrics.
- AI Insights — View automated interaction summaries and identified business moments (e.g., Greetings, Objections).
- Coaching Oversight — Monitor agent coaching sessions and feedback logs to track improvement.
- Workspace Management — List all agents, supervisors, and admins in your Observe.AI instance.
The Observe.AI MCP Server exposes 10 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 Observe.AI to OpenAI Agents SDK via MCP
Follow these steps to integrate the Observe.AI 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 10 tools from Observe.AI
Why Use OpenAI Agents SDK with the Observe.AI MCP Server
OpenAI Agents SDK provides unique advantages when paired with Observe.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
Observe.AI + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Observe.AI MCP Server delivers measurable value.
Automated workflows: build agents that query Observe.AI, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Observe.AI, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Observe.AI tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Observe.AI to resolve tickets, look up records, and update statuses without human intervention
Observe.AI MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Observe.AI to OpenAI Agents SDK via MCP:
get_evaluation_details
Get specific evaluation info
get_interaction_details
Get specific interaction info
get_interaction_transcript
Get interaction transcript
list_coaching_sessions
List agent coaching sessions
list_evaluation_forms
List QA evaluation forms
list_interaction_moments
g. Greeting, Closing) across interactions. List identified key moments
list_interaction_summaries
List AI-generated summaries
list_interactions
AI. List contact center interactions
list_qa_evaluations
List QA evaluations
list_workspace_users
AI workspace. List workspace agents and users
Example Prompts for Observe.AI in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Observe.AI immediately.
"List all recent call interactions from today."
"What is the QA score for interaction ID 'int_12345'?"
"Show me the AI summaries for our latest interactions."
Troubleshooting Observe.AI MCP Server with OpenAI Agents SDK
Common issues when connecting Observe.AI to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Observe.AI + OpenAI Agents SDK FAQ
Common questions about integrating Observe.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.Does the SDK support streaming responses?
Connect Observe.AI 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 Observe.AI to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.