Aidbase MCP Server for Pydantic AIGive Pydantic AI instant access to 11 tools to Add Aidbase Faq Item, Add Aidbase Website Knowledge, Check Aidbase Status, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Aidbase through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The Aidbase app connector for Pydantic AI is a standout in the Productivity 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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Aidbase "
"(11 tools)."
),
)
result = await agent.run(
"What tools are available in Aidbase?"
)
print(result.data)
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 Aidbase MCP Server
Connect your Aidbase account to any AI agent and take full control of your automated customer support and intelligent knowledge management workflows through natural conversation.
Pydantic AI validates every Aidbase tool response against typed schemas, catching data inconsistencies at build time. Connect 11 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
What you can do
- Chatbot Orchestration — List and manage all configured AI chatbots programmatically, retrieving detailed high-fidelity metadata and configuration settings in real-time
- Knowledge Graph Ingestion — Programmatically update what your AI knows by pushing new website URLs or injecting specific Q&A items into existing FAQs dynamically
- Conversational Intelligence — Send messages and retrieve high-fidelity AI responses from specific chatbots to test performance or integrate chat into custom workflows
- AI Email Inbox Management — Access and monitor your automated email responders and their assigned knowledge bases to ensure perfectly coordinated context application
- Operational Monitoring — Verify API connectivity and retrieve account-level status directly through your agent for instant performance reporting
The Aidbase MCP Server exposes 11 tools through the Vinkius. Connect it to Pydantic AI 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 Aidbase tools available for Pydantic AI
When Pydantic AI connects to Aidbase through Vinkius, your AI agent gets direct access to every tool listed below — spanning aidbase, chatbot-api, knowledge-base-automation, 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.
Add FAQ to knowledge base
Add a website to knowledge base
Check API Status
Get Chatbot details
Get AI Inbox details
List Chatbot knowledge items
List all AI Chatbots
List Inbox knowledge items
List Email AI Inboxes
List all Knowledge items
Send a message to a Chatbot
Connect Aidbase to Pydantic AI via MCP
Follow these steps to wire Aidbase into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the Aidbase MCP Server
Pydantic AI provides unique advantages when paired with Aidbase through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Aidbase integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Aidbase connection logic from agent behavior for testable, maintainable code
Aidbase + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Aidbase MCP Server delivers measurable value.
Type-safe data pipelines: query Aidbase with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Aidbase tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Aidbase and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Aidbase responses and write comprehensive agent tests
Example Prompts for Aidbase in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Aidbase immediately.
"List all configured chatbots in my Aidbase account."
"Add 'https://docs.vinkius.com/faq' to my AI knowledge base."
"Send a message to chatbot 'bot_123': 'What is your refund policy?'."
Troubleshooting Aidbase MCP Server with Pydantic AI
Common issues when connecting Aidbase to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiAidbase + Pydantic AI FAQ
Common questions about integrating Aidbase MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.