Yida MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Yida through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Yida "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Yida?"
)
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 Yida MCP Server
Empower your AI agent to orchestrate your enterprise operations with Yida, the premier low-code platform under the DingTalk ecosystem. By connecting Yida to your agent, you transform complex form management and data orchestration into a natural conversation. Your agent can instantly list your forms, retrieve field schemas, manage data records (create, update, delete), and even monitor workflow approval timelines without you needing to navigate the complex DingTalk interface. Whether you are managing administrative approvals, inventory tracking, or customized business processes, your agent acts as a real-time operations assistant, keeping your data accurate and your workflows moving.
Pydantic AI validates every Yida tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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
- Form Orchestration — List all accessible forms and retrieve detailed field schemas for your Yida applications.
- Data Operations — Manage form instances (records) with full support for creating, listing, and granular updates.
- Workflow Monitoring — Check the current status and approval timeline for any workflow instance.
- Schema Auditing — Retrieve internal form schemas to understand data structures and field IDs.
- User Coordination — Access application user lists to manage assignments and participation effectively.
The Yida MCP Server exposes 10 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.
How to Connect Yida to Pydantic AI via MCP
Follow these steps to integrate the Yida MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Yida with type-safe schemas
Why Use Pydantic AI with the Yida MCP Server
Pydantic AI provides unique advantages when paired with Yida 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 Yida integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Yida connection logic from agent behavior for testable, maintainable code
Yida + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Yida MCP Server delivers measurable value.
Type-safe data pipelines: query Yida with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Yida tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Yida and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Yida responses and write comprehensive agent tests
Yida MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Yida to Pydantic AI via MCP:
create_record
Create a new form record
delete_record
Delete a form record
get_form_schema
Get form field schema
get_instance_timeline
Get workflow instance timeline
get_record_details
Get record detailed data
list_data_ids
List data instance IDs
list_forms
List all forms in the Yida application
list_users
List application users
list_workflows
List application workflows
update_record
Update an existing record
Example Prompts for Yida in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Yida immediately.
"List all forms in my Yida application."
"Show me the last 5 instance IDs from the 'Purchase Request' form."
"What is the approval timeline for purchase request 'REQ-2026-042'?"
Troubleshooting Yida MCP Server with Pydantic AI
Common issues when connecting Yida to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiYida + Pydantic AI FAQ
Common questions about integrating Yida 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.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Yida 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 Yida to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
