Sobot 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 Sobot as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 Sobot. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Sobot?"
)
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 Sobot MCP Server
Empower your AI agent to orchestrate your customer service with Sobot (智齿科技), the premier AI-driven customer support platform in China. By connecting Sobot to your agent, you transform complex ticketing management and agent coordination into a natural conversation. Your agent can instantly list your work orders, retrieve agent statuses, browse knowledge base articles, and even audit chat histories without you ever needing to navigate the comprehensive web interface. Whether you are managing a high-volume support team or a specific high-priority ticket, your agent acts as a real-time support operations assistant, keeping your data accurate and your customers satisfied.
LlamaIndex agents combine Sobot 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
- Ticket Management — List all active work orders, get detailed information, and create new tickets instantly.
- Agent Coordination — Browse support agents and monitor their real-time online/busy status.
- Knowledge Retrieval — List and retrieve content from your Sobot knowledge base to assist with customer queries.
- Chat Audit — Browse historical chat records and transcripts to track customer engagement.
- Service Insights — Retrieve high-level summaries of organization-wide support activity and performance.
The Sobot 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 Sobot to LlamaIndex via MCP
Follow these steps to integrate the Sobot 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 Sobot
Why Use LlamaIndex with the Sobot MCP Server
LlamaIndex provides unique advantages when paired with Sobot through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Sobot tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Sobot tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Sobot, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Sobot tools were called, what data was returned, and how it influenced the final answer
Sobot + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Sobot MCP Server delivers measurable value.
Hybrid search: combine Sobot real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Sobot 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 Sobot for fresh data
Analytical workflows: chain Sobot queries with LlamaIndex's data connectors to build multi-source analytical reports
Sobot MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Sobot to LlamaIndex via MCP:
create_ticket
Create a new ticket
get_agent_status
Get agent online status
get_knowledge_detail
Get knowledge article details
get_org_summary
Get organization activity summary
get_ticket_details
Get ticket details
list_agents
List support agents
list_chat_history
List chat history
list_knowledge
List knowledge base articles
list_tickets
List customer support tickets
list_users
List customers/users
Example Prompts for Sobot in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Sobot immediately.
"List all active support tickets from Sobot."
"Check if agent 'Mario' is currently online."
"Search the knowledge base for 'refund policy'."
Troubleshooting Sobot MCP Server with LlamaIndex
Common issues when connecting Sobot to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpSobot + LlamaIndex FAQ
Common questions about integrating Sobot 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 Sobot 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 Sobot to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.