How to Use the LeadSquared MCP in LlamaIndex

Q: How do I perform a LeadSquared search in LlamaIndex?

You can use searchleads as part of your tool spec. Once the results are returned, LlamaIndex can ingest them into your index for semantic search. This makes your agent aware of the entire lead database.

Q: Does LlamaIndex support LeadSquared opportunity tracking?

Yes, the listopportunities tool provides the data your agent needs. You can index these opportunities to allow your system to query pipeline status naturally. It helps in building smarter RAG agents for sales analysis.

Q: Can I use LeadSquared tools with LlamaIndex agents?

You can use the McpToolSpec to convert these tools into a format LlamaIndex understands. Simply load the server, fetch the tools, and pass them to your agent. Everything is designed to work out of the box.

Q: How do I record LeadSquared interactions in LlamaIndex?

The createprospectactivity tool allows you to log notes, calls, or emails. By calling this through your agent, you keep your CRM records current. It's a direct way to write back to your data layer.

Index your LeadSquared CRM data into LlamaIndex to build agents that recall every interaction with total accuracy.

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Connect LeadSquared MCP to LlamaIndex

Create your Vinkius account to connect LeadSquared 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 LeadSquared with LlamaIndex

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Query LeadSquared data with LlamaIndex

Index your CRM activity logs using `list_lead_activities` to create a searchable knowledge base. Your agent can now answer questions grounded in actual history rather than guessing. Use `list_activity_types` to understand the context of every recorded interaction. This gives your index the semantic depth needed for precise retrieval.

Build RAG pipelines with MCP Server

Pull raw lead data via `get_lead_details` and feed it into your vector store. You gain a unified view of your prospects that is always up to date. This setup allows your agent to compare `list_opportunities` against your internal documents. It bridges the gap between static knowledge and live CRM data.

Update CRM records from LlamaIndex

Trigger `create_prospect_activity` directly from your RAG application when an agent identifies a new milestone. It turns your insight into immediate action. Your system maintains data integrity by calling `create_or_update_lead` whenever new information is surfaced. It ensures your CRM stays the source of truth.

Setup guide

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

You can use `search_leads` as part of your tool spec. Once the results are returned, LlamaIndex can ingest them into your index for semantic search. This makes your agent aware of the entire lead database.

Yes, the `list_opportunities` tool provides the data your agent needs. You can index these opportunities to allow your system to query pipeline status naturally. It helps in building smarter RAG agents for sales analysis.

You can use the `McpToolSpec` to convert these tools into a format LlamaIndex understands. Simply load the server, fetch the tools, and pass them to your agent. Everything is designed to work out of the box.

The `create_prospect_activity` tool allows you to log notes, calls, or emails. By calling this through your agent, you keep your CRM records current. It's a direct way to write back to your data layer.

The server only processes lead profiles, opportunity records, and activity logs. All communication happens over encrypted channels, and your API keys are never stored on our servers. Your CRM data stays private to your session.

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