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Yida MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

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.

Vinkius supports streamable HTTP and SSE.

python
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())
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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.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

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.

01

Data-first architecture: LlamaIndex agents combine Yida tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Yida tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Yida, a vector store, and a SQL database in a single turn and synthesize results

04

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.

01

Hybrid search: combine Yida real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Yida to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Yida for fresh data

04

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:

01

create_record

Create a new form record

02

delete_record

Delete a form record

03

get_form_schema

Get form field schema

04

get_instance_timeline

Get workflow instance timeline

05

get_record_details

Get record detailed data

06

list_data_ids

List data instance IDs

07

list_forms

List all forms in the Yida application

08

list_users

List application users

09

list_workflows

List application workflows

10

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.

01

"List all forms in my Yida application."

02

"Show me the last 5 instance IDs from the 'Purchase Request' form."

03

"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.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Yida + LlamaIndex FAQ

Common questions about integrating Yida MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Yida tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Connect Yida to LlamaIndex

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.