How to Use the Close MCP in LlamaIndex

Q: Can LlamaIndex search through past Close MCP server sessions?

Yes, LlamaIndex indexes the outputs of tools like listcloseleads into your vector database. This lets you run semantic searches over previous CRM data pulls without making new API calls.

Q: How do I filter specific Close tools in LlamaIndex?

You use the allowedtools filter when initializing your MCP client. This lets you restrict your LlamaIndex agent to only access listclosetasks or specific lead tools.

Index Close lead data and pipelines directly into your LlamaIndex vector store for instant semantic search.

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Connect Close MCP to LlamaIndex

Create your Vinkius account to connect Close 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 Close with LlamaIndex

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Index Close leads with this MCP Server

The `list_close_leads` tool allows your LlamaIndex pipeline to pull active lead records and convert them into searchable documents. Your agent indexes these documents to answer complex questions about your customer base without hitting the API repeatedly. By pairing this with `get_lead_details`, your RAG application gets deep context on specific accounts. LlamaIndex queries this local index first, ensuring your agent acts on accurate, grounded CRM data.

Query sales pipelines using LlamaIndex RAG

The `list_close_pipelines` tool feeds your configured CRM stages directly into the LlamaIndex knowledge base. This lets your agent map lead statuses against your actual sales process during natural language queries. Your agent uses `list_lead_statuses` to resolve where a deal sits. The index keeps this mapping handy, preventing your LLM from guessing or hallucinating status names.

Ground LlamaIndex decisions in Close opportunities

The `list_close_opportunities` tool exposes active deal structures to your LlamaIndex indexer. Your RAG pipeline ingests these financial metrics, making it simple to run semantic searches over your open pipeline. It retrieves specific records using `get_opportunity_details` to resolve complex queries about deal sizes. This ensures your agent's financial summaries match your actual CRM data.

Setup guide

Set up Close 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 Close 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 Close tools.",
)
response = await agent.run("List recent Close 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 Close. 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 Close MCP in LlamaIndex

You load the tools using McpToolSpec and convert them via to_tool_list_async(). From there, your LlamaIndex agent can run the tools to fetch and index your lead and opportunity records.

Yes, LlamaIndex indexes the outputs of tools like list_close_leads into your vector database. This lets you run semantic searches over previous CRM data pulls without making new API calls.

You use the allowed_tools filter when initializing your MCP client. This lets you restrict your LlamaIndex agent to only access list_close_tasks or specific lead tools.

Your LlamaIndex agent queries the live Close API whenever it invokes list_close_opportunities. You can then index those live results immediately to keep your RAG vector store updated.

All lead, task, and opportunity data fetched from Close remains in your local LlamaIndex memory or vector store. The Vinkius MCP host handles the API connection securely without storing your CRM records.

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