How do I get a DocsBot API Key?

Log in to your DocsBot account, navigate to the API section in your account settings, and you can generate or retrieve your unique API Key from there.

Can the agent train my bots?

This integration currently focuses on querying bots and auditing sources. Adding new sources or triggering full training cycles should be managed via the DocsBot dashboard.

Which AI models are used?

DocsBot supports various models including GPT-3.5 and GPT-4. The agent will retrieve results based on the specific model configured for your bot in your account.

DocsBot MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: DocsBot
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect DocsBot 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="DocsBot Assistant",
            instructions=(
                "You help users interact with DocsBot. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

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About DocsBot MCP Server

Integrate DocsBot, the AI-powered knowledge base platform, directly into your AI workflow. Manage your custom AI bots, track their data sources (URLs, PDFs, documents), monitor indexing status, and query your bots directly using natural language.

The OpenAI Agents SDK auto-discovers all 10 tools from DocsBot through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries DocsBot, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Bot Oversight — List and retrieve detailed configuration and metadata for all the AI bots in your team.
Knowledge Management — Monitor data sources used to train your bots and track their last indexing timestamps.
Bot Interaction — Query your bots directly via the agent to retrieve AI-generated answers based on your knowledge base.
Analytics & Logs — Access technical logs of recent bot interactions, including questions and generated answers.

The DocsBot 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 DocsBot to OpenAI Agents SDK via MCP

Follow these steps to integrate the DocsBot 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 DocsBot

Why Use OpenAI Agents SDK with the DocsBot MCP Server

OpenAI Agents SDK provides unique advantages when paired with DocsBot 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

DocsBot + OpenAI Agents SDK Use Cases

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

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

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

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

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

DocsBot MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect DocsBot to OpenAI Agents SDK via MCP:

ask_bot_question

Ask a technical question to a specific DocsBot and retrieve an AI-generated answer

get_bot_details

Get detailed settings and information for a specific bot

get_bot_knowledge_summary

Retrieve a high-level summary of the knowledge base size and source count

get_docsbot_account_metadata

Retrieve metadata for the current authenticated user

list_bot_interaction_logs

List recent questions and answers handled by a specific bot

list_bot_knowledge_sources

List all data sources (URL, PDF, etc.) used to train a specific bot

list_docsbot_teams

List all teams you are a member of in DocsBot

list_recently_indexed_bots

Identify bots that have had their knowledge base updated recently (mock logic)

list_team_bots

List all AI bots configured within a specific team

search_bot_sources

Search for specific knowledge sources by name keyword

Example Prompts for DocsBot in OpenAI Agents SDK

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

"Ask our 'API Docs Bot': 'How do I authenticate using the SDK?'."

"List all data sources used by our 'Support Bot'."

"Show me the last 5 questions asked to the 'Sales Bot'."

Troubleshooting DocsBot MCP Server with OpenAI Agents SDK

Common issues when connecting DocsBot 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.

DocsBot + OpenAI Agents SDK FAQ

Common questions about integrating DocsBot 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.