How to Use the Funil de Vendas MCP in LlamaIndex

Q: How do I configure Funil de Vendas with LlamaIndex?

Install llama-index-tools-mcp. Set up a BasicMCPClient, wrap it in an McpToolSpec, and call await mcptoolspec.totoollistasync() to pass the tools to your FunctionAgent.

Q: Can LlamaIndex search through my Funil de Vendas opportunities?

Yes. The agent pulls active deals using listopportunities and getopportunity. It indexes that text so you can run semantic queries against your entire pipeline.

Q: How does the Funil de Vendas LlamaIndex setup handle new leads?

You trigger createperson or createcompany directly through the FunctionAgent. The agent updates the CRM and can immediately re-index the new records.

Q: Does this integration read custom sales funnels?

The server exposes listfunnels. Your LlamaIndex application uses this endpoint to map out your specific deal stages before answering pipeline questions.

Index your Funil de Vendas sales pipeline into searchable LlamaIndex knowledge bases.

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Create your Vinkius account to connect Funil de Vendas to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Funil de Vendas with LlamaIndex

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Inject Deal Data into LlamaIndex

This MCP server feeds live CRM records directly from Funil de Vendas into your vector store. Your LlamaIndex application calls `list_opportunities` and indexes the resulting deal data for semantic search. Sales reps query the knowledge base to find specific deals without knowing exact names. The system retrieves the relevant context from the index, grounded in actual pipeline data rather than hallucinated numbers.

Map Funil de Vendas Custom Fields

LlamaIndex needs structural context to build accurate RAG applications. The agent uses `list_custom_fields` and `list_funnels` to understand exactly how your Brazilian sales methodology is configured. When someone asks about account setup, the agent pulls `get_account_info`. It combines this structural metadata with your internal documentation to answer complex configuration questions accurately.

Search People and Companies via MCP Server

You build applications that combine unstructured documents with structured CRM entities. The agent executes `list_companies` and `list_people`, embedding these records into your unified index. If a user needs specific contact metrics, the agent triggers `get_people_stats`. It returns the raw statistical data and synthesizes it with your indexed sales playbooks to generate actionable advice.

Setup guide

Set up Funil de Vendas MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Funil de Vendas MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Funil de Vendas tools.",
)
response = await agent.run("List recent Funil de Vendas data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Funil de Vendas. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Funil de Vendas MCP in LlamaIndex

Install `llama-index-tools-mcp`. Set up a `BasicMCPClient`, wrap it in an `McpToolSpec`, and call `await mcp_tool_spec.to_tool_list_async()` to pass the tools to your FunctionAgent.

Yes. The agent pulls active deals using `list_opportunities` and `get_opportunity`. It indexes that text so you can run semantic queries against your entire pipeline.

You trigger `create_person` or `create_company` directly through the FunctionAgent. The agent updates the CRM and can immediately re-index the new records.

The server exposes `list_funnels`. Your LlamaIndex application uses this endpoint to map out your specific deal stages before answering pipeline questions.

Contact lists and deal values remain confined to your infrastructure. The server reads the CRM data and passes it straight to your local vector store, completely bypassing external tracking layers.

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