Yida MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Yida as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Yida. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Yida?"
)
print(response)
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.
LlamaIndex agents combine Yida tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Yida MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the Yida MCP Server
LlamaIndex provides unique advantages when paired with Yida through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Yida tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Yida tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Yida, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Yida tools were called, what data was returned, and how it influenced the final answer
Yida + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Yida MCP Server delivers measurable value.
Hybrid search: combine Yida real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Yida to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Yida for fresh data
Analytical workflows: chain Yida queries with LlamaIndex's data connectors to build multi-source analytical reports
Yida MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Yida to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Yida to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpYida + LlamaIndex FAQ
Common questions about integrating Yida MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
