Can I update my knowledge base via the agent?

Yes! Use the `create_article` tool to add new information to your Ada knowledge base. This helps the AI bot stay up-to-date with your latest product or policy changes.

What are the API rate limits on Ada?

The default platform API limit is 10,000 requests per day (10 per second). Some specific endpoints, such as the Data Export API, have additional limits like 15,000 requests per day.

Are there quotas per knowledge article in Ada?

Yes, Knowledge Base APIs enforce a constraint of 100KB per individual article, up to a maximum limit of 50,000 global articles in your organization.

Ada MCP Server for OpenAI Agents SDK 4 tools — connect in under 2 minutes

Name: Ada
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 4 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Ada through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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="Ada Assistant",
            instructions=(
                "You help users interact with Ada. "
                "You have access to 4 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Ada"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Ada MCP Server

Connect your Ada account to your AI agent to unlock advanced customer service automation. From monitoring real-time conversations to managing your knowledge base and syncing user metadata, your agent handles conversational AI orchestration through natural language.

The OpenAI Agents SDK auto-discovers all 4 tools from Ada through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Ada, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Conversation Oversight — List and retrieve details of active or past support conversations to identify trends
End User Management — Manage user profiles and sync metadata (metavariables) between Ada and your external systems
Knowledge Management — Create, update, and list articles in your knowledge base to help your AI agent provide better answers
Real-time Analytics — Retrieve insights on automated resolution rates and agent handoff patterns
Compliance Support — Manage data privacy requests and conversation retention directly from your chat interface

The Ada MCP Server exposes 4 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 Ada to OpenAI Agents SDK via MCP

Follow these steps to integrate the Ada 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 4 tools from Ada

Why Use OpenAI Agents SDK with the Ada MCP Server

OpenAI Agents SDK provides unique advantages when paired with Ada 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

Ada + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Ada MCP Server delivers measurable value.

Automated workflows: build agents that query Ada, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Ada, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Ada tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Ada to resolve tickets, look up records, and update statuses without human intervention

Ada MCP Tools for OpenAI Agents SDK (4)

These 4 tools become available when you connect Ada to OpenAI Agents SDK via MCP:

create_article

Needs title and text content. Add a new text article to the Ada knowledge base to immediately improve AI bot responses

get_end_user

Requires the End User ID. Retrieve profile information and custom metavariables for a specific Ada end user

list_articles

Retrieve the catalog of help articles used by the Ada AI agent to answer customer queries

list_conversations

Retrieve active and past customer support conversations handled by the Ada bot

Example Prompts for Ada in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Ada immediately.

"Show me the last 5 conversations handled by Ada."

Troubleshooting Ada MCP Server with OpenAI Agents SDK

Common issues when connecting Ada to OpenAI Agents SDK through the Vinkius, and how to resolve them.

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.

Ada + OpenAI Agents SDK FAQ

Common questions about integrating Ada MCP Server with OpenAI Agents SDK.

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.