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Serviceform MCP Server for LlamaIndexGive LlamaIndex instant access to 7 tools to Get Lead, Get Space Items, List Chatbots, and more

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Serviceform 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 App Connector for LlamaIndex

The Serviceform app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 7 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 Serviceform. "
            "You have 7 tools available."
        ),
    )

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

asyncio.run(main())
Serviceform
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About Serviceform MCP Server

Connect your Serviceform account to any AI agent and take full control of your conversational marketing and lead orchestration through natural conversation. Serviceform provides a comprehensive platform for building chatbots, forms, and interactive multi-channel engagement, and this integration allows you to retrieve chat logs, manage flex spaces, and extract lead metadata directly from your chat interface.

LlamaIndex agents combine Serviceform tool responses with indexed documents for comprehensive, grounded answers. Connect 7 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

  • Chat History & Insight Orchestration — Retrieve and analyze chat logs with advanced time-based filters to understand customer intent programmatically.
  • Lead & CRM Management — Access and monitor lead data captured through chatbots and forms to maintain a clear overview of your sales pipeline directly from the AI interface.
  • Space & Environment Control — Manage 'flex spaces' and retrieve environment items to keep your service setup synchronized via natural language.
  • Bot & Form Discovery — List all configured chatbots and active forms to monitor your conversion tools in real-time.
  • Operational Monitoring — Track system statistics and manage lead profiles using simple AI commands to ensure your conversational tools are always optimized.

The Serviceform MCP Server exposes 7 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.

All 7 Serviceform tools available for LlamaIndex

When LlamaIndex connects to Serviceform through Vinkius, your AI agent gets direct access to every tool listed below — spanning conversational-marketing, chatbots, lead-capture, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

get_lead

Get lead details

get_space_items

Get items for a specific space

list_chatbots

List all configured chatbots

list_chats

Pass criteria as a JSON string. List chat histories

list_forms

List all active forms

list_leads

List leads captured

list_spaces

List flex spaces

Connect Serviceform to LlamaIndex via MCP

Follow these steps to wire Serviceform into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 7 tools from Serviceform

Why Use LlamaIndex with the Serviceform MCP Server

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

01

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

02

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

03

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

04

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

Serviceform + LlamaIndex Use Cases

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

01

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

02

Data enrichment: query Serviceform 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 Serviceform for fresh data

04

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

Example Prompts for Serviceform in LlamaIndex

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

01

"List all active flex spaces in my Serviceform account."

02

"Show me the last 3 leads from today."

03

"List all my chatbots in Serviceform."

Troubleshooting Serviceform MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Serviceform + LlamaIndex FAQ

Common questions about integrating Serviceform 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 Serviceform 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.