How to Use the Salespanel MCP in LlamaIndex
Turn Salespanel data into a queryable knowledge base for your LlamaIndex RAG app. Ask questions, get answers grounded in real lead activity.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Salespanel MCP to LlamaIndex
Create your Vinkius account to connect Salespanel to LlamaIndex — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Index Your Entire Sales Funnel
Connect LlamaIndex to Salespanel and start indexing. The tools don't just fetch data; they structure it for retrieval. Your agent can pull everything from `list_companies` and `list_contacts` to build a foundational knowledge graph of your accounts. Once indexed, you can ask questions in plain English. 'Show me all contacts from `list_accounts` in Germany' or 'Summarize the activity for the Acme Corp account.' Your agent uses the indexed data from `get_contact_details` and `get_company` to give you a straight answer.
Create a Real-Time RAG with this MCP Server
This is where it gets interesting. You're not just indexing static contacts; you're indexing live behavior. The `list_activity_feeds` and `list_engagement_events` tools provide a constant stream of new information for your LlamaIndex knowledge base. This lets you build a RAG application that knows what's happening now. Query anonymous traffic with `list_anonymous_visitors` and ask, 'Which new visitor just looked at the enterprise plan?' LlamaIndex will find the session data and use `get_visitor` to give you the details.
Ground Responses in Segments
Your agent can pull all your `list_lead_segments` into its index. Now, your Q&A sessions are aware of your marketing strategy. The agent knows who is a 'Hot Lead' versus a 'Past Customer' because it has the data from `get_segment`. This prevents bad assumptions. When you ask your LlamaIndex agent for a list of prospects to call, it can automatically filter out anyone in the 'Do Not Contact' segment. It grounds every response in the reality of your sales operations.
Set up Salespanel MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - 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 providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto 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 Salespanel MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
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 Salespanel tools.",
)
response = await agent.run("List recent Salespanel data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Salespanel. 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 Salespanel MCP in LlamaIndex
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