JingDigital 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 JingDigital as an MCP tool provider through the 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 JingDigital. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in JingDigital?"
)
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 JingDigital MCP Server
Empower your AI agent to orchestrate your marketing operations within the WeChat ecosystem with JingDigital, the leading customer engagement platform for China. By connecting JingDigital to your agent, you transform complex customer segmentation, campaign tracking, and WeChat workflow management into a natural conversation. Your agent can instantly list CRM contacts, retrieve detailed profile information, monitor marketing campaigns, and even provide account-wide statistics without you ever needing to navigate the comprehensive web interface. Whether you are managing high-volume customer inquiries or complex automation flows, your agent acts as a real-time marketing assistant, keeping your data accurate and your engagement moving.
LlamaIndex agents combine JingDigital 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
- Contact Orchestration — List and retrieve detailed information about your CRM contacts and followers.
- Campaign Management — Browse active marketing campaigns and retrieve detailed performance metadata.
- Workflow Monitoring — List and audit automation workflows to ensure your marketing logic is operating correctly.
- Asset Control — Browse your digital asset library and identify resources for use in your campaigns.
- Performance Insights — Retrieve high-level statistics on account performance and engagement levels.
The JingDigital 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 JingDigital to LlamaIndex via MCP
Follow these steps to integrate the JingDigital 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 JingDigital
Why Use LlamaIndex with the JingDigital MCP Server
LlamaIndex provides unique advantages when paired with JingDigital through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine JingDigital tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain JingDigital tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query JingDigital, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what JingDigital tools were called, what data was returned, and how it influenced the final answer
JingDigital + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the JingDigital MCP Server delivers measurable value.
Hybrid search: combine JingDigital real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query JingDigital 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 JingDigital for fresh data
Analytical workflows: chain JingDigital queries with LlamaIndex's data connectors to build multi-source analytical reports
JingDigital MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect JingDigital to LlamaIndex via MCP:
create_contact
Create a new contact
get_account_info
Get account metadata
get_campaign
Get campaign details
get_contact
Get contact details
get_stats
Get account statistics
list_assets
) in the library. List marketing assets
list_campaigns
List marketing campaigns
list_contacts
List CRM contacts
list_events
List tracking events
list_workflows
List automation workflows
Example Prompts for JingDigital in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with JingDigital immediately.
"List all CRM contacts from JingDigital."
"Show me the performance stats for the last 30 days."
"Check the status of campaign 'Summer-Promo-2026'."
Troubleshooting JingDigital MCP Server with LlamaIndex
Common issues when connecting JingDigital to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpJingDigital + LlamaIndex FAQ
Common questions about integrating JingDigital 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 JingDigital 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 JingDigital to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.