How do I find my Jiandaoyun API Key?

Log in to Jiandaoyun, go to [Account Center] → [Account Settings] → [API Key], and generate your token there. Ensure your version supports API access.

Can I check the status of an approval process?

Yes. Using the `get_workflow_status` tool with the application, form, and record IDs, you can retrieve the current step and status of any active workflow/approval process.

How do I know which fields to use when creating a record?

Use the `get_form_schema` tool. it will return all the available widgets (fields) for that form, including their unique IDs which you need to use in the `data` parameter.

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

Name: Jiandaoyun
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Jiandaoyun as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

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 Jiandaoyun. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Jiandaoyun?"
    )
    print(response)

asyncio.run(main())

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About Jiandaoyun MCP Server

Empower your AI agent to orchestrate your data workflows with Jiandaoyun, the leading zero-code platform for enterprise applications. By connecting Jiandaoyun to your agent, you transform complex form management and data entry into a natural conversation. Your agent can instantly list your applications, retrieve form schemas, create or update records, and even check workflow statuses without you needing to navigate the web interface. Whether you are managing inventory, HR records, or customer data, your agent acts as a real-time data assistant, keeping your records accurate and your processes moving.

LlamaIndex agents combine Jiandaoyun tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the 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

Application Management — List all accessible applications and browse the forms within them.
Form Operations — Retrieve field schemas and manage data records (create, list, update, delete) with ease.
Workflow Tracking — Monitor the current status of workflows for specific form records.
Data Insights — Retrieve detailed record information for analysis and decision-making.
Team Coordination — Access the organization's address book to manage user-related data.

The Jiandaoyun 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 Jiandaoyun to LlamaIndex via MCP

Follow these steps to integrate the Jiandaoyun 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 Jiandaoyun

Why Use LlamaIndex with the Jiandaoyun MCP Server

LlamaIndex provides unique advantages when paired with Jiandaoyun through the Model Context Protocol.

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

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

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

Observability integrations show exactly what Jiandaoyun tools were called, what data was returned, and how it influenced the final answer

Jiandaoyun + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Jiandaoyun MCP Server delivers measurable value.

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

Data enrichment: query Jiandaoyun 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 Jiandaoyun for fresh data

Analytical workflows: chain Jiandaoyun queries with LlamaIndex's data connectors to build multi-source analytical reports

Jiandaoyun MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Jiandaoyun 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_record_details

Get record details

get_workflow_status

Get record workflow status

list_address_book

List organization users

list_apps

List all Jiandaoyun applications

list_data

List records in a form

list_forms

List forms in an application

update_record

Update an existing form record

Example Prompts for Jiandaoyun in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Jiandaoyun immediately.

"List all forms in the 'Sales Pipeline' application."

"Show me the last 5 records from the 'Inventory' form."

"What is the workflow status for record ID 'rec-12345' in the 'Expense Reimbursement' form?"

Troubleshooting Jiandaoyun MCP Server with LlamaIndex

Common issues when connecting Jiandaoyun to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Jiandaoyun + LlamaIndex FAQ

Common questions about integrating Jiandaoyun MCP Server with LlamaIndex.

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.

Can I combine MCP tools with vector stores?

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