Yida MCP Server for CrewAI 10 tools — connect in under 2 minutes
Connect your CrewAI agents to Yida through Vinkius, pass the Edge URL in the `mcps` parameter and every Yida tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from crewai import Agent, Task, Crew
agent = Agent(
role="Yida Specialist",
goal="Help users interact with Yida effectively",
backstory=(
"You are an expert at leveraging Yida tools "
"for automation and data analysis."
),
# Your Vinkius token. get it at cloud.vinkius.com
mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)
task = Task(
description=(
"Explore all available tools in Yida "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 10 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* 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.
When paired with CrewAI, Yida becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Yida tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
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 CrewAI 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 CrewAI via MCP
Follow these steps to integrate the Yida MCP Server with CrewAI.
Install CrewAI
Run pip install crewai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Customize the agent
Adjust the role, goal, and backstory to fit your use case
Run the crew
Run python crew.py. CrewAI auto-discovers 10 tools from Yida
Why Use CrewAI with the Yida MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Yida through the Model Context Protocol.
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Yida + CrewAI Use Cases
Practical scenarios where CrewAI combined with the Yida MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries Yida for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff
Scheduled intelligence reports: set up a crew that periodically queries Yida, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain Yida tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow
Compliance and audit automation: a compliance agent queries Yida against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Yida MCP Tools for CrewAI (10)
These 10 tools become available when you connect Yida to CrewAI 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 CrewAI
Ready-to-use prompts you can give your CrewAI 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 CrewAI
Common issues when connecting Yida to CrewAI through the Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
Yida + CrewAI FAQ
Common questions about integrating Yida MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.Can different agents in the same crew use different MCP servers?
mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.What happens when an MCP tool call fails during a crew run?
Can CrewAI agents call multiple MCP tools in parallel?
process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.Can I run CrewAI crews on a schedule (cron)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.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 CrewAI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
