How to Use the CallPage MCP in LlamaIndex
Index live CallPage callback records and lead data directly into your LlamaIndex vector store.
Works with every AI agent you already use
…and any MCP-compatible client
Connect CallPage MCP to LlamaIndex
Create your Vinkius account to connect CallPage 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.
Build a RAG pipeline for CallPage MCP Server
Stop guessing what happened on your sales calls. Your indexer pulls call logs using `list_calls` and stores them as searchable document nodes. When a user asks about recent interactions, the agent queries this vector store. It fetches exact records via `get_call_details` to answer questions with real data instead of making things up.
Search widget settings using LlamaIndex
Turn your widget configurations into queryable metadata. The pipeline queries `list_widgets` and indexes the settings of each form. Your agent uses `get_widget_settings` to verify which domains have active widgets. This makes troubleshooting setup errors as simple as asking a question in plain English.
Index active leads for semantic search
Feed your captured prospects into your knowledge base. The system calls `list_leads` to pull contact info and notes, turning raw API payloads into searchable text. If you need context on a specific prospect, the agent uses `get_lead_details` to update the index. This keeps your local vector store perfectly synchronized with your actual sales pipeline.
Set up CallPage 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 CallPage 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 CallPage tools.",
)
response = await agent.run("List recent CallPage data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CallPage. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about CallPage MCP in LlamaIndex
Use it with your favorite AI tools
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