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How to Use the CallGear MCP in LlamaIndex

Index live telecom data and ad campaign stats directly from this MCP Server into your LlamaIndex RAG applications.

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LlamaIndex

Connect CallGear MCP to LlamaIndex

Create your Vinkius account to connect CallGear 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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Index CallGear MCP Server Data

RAG usually relies on static PDFs. We built this integration so your LlamaIndex pipelines can ingest live metrics from `get_site_daily_stats` and store them in your vector database. Your knowledge base stays current automatically. When users query campaign performance, the system fetches fresh numbers via `get_ad_campaigns_report` instead of hallucinating outdated figures.

Query Telecom Configurations

Finding specific routing rules takes too long. By exposing `list_call_scenarios` to your agent, you create a searchable index of exactly how your phone trees are set up. Semantic search changes how you interact with API data. You ask plain English questions about traffic routing, and the engine pulls the exact matching records from `list_traffic_sources`.

Ground Answers in Real Metrics

Marketing teams need accurate answers. Linking this server allows your `FunctionAgent` to run `get_calls_report` and immediately base its responses on hard numbers. You filter exactly what the agent sees. Use the allowed tools parameter to restrict access to just `list_tags` or `list_users` if you want a highly focused internal directory bot.

Setup guide

Set up CallGear MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

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

  2. 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. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all CallGear MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 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 CallGear tools.",
)
response = await agent.run("List recent CallGear data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CallGear. 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 CallGear MCP in LlamaIndex

Grab the `llama-index-tools-mcp` package. Initialize a `BasicMCPClient` with your Vinkius URL, wrap it in `McpToolSpec`, and pass the async tool list to your agent.
Yes. The agent uses the MCP tool to fetch campaign stats and can chunk that output into your existing vector index for semantic retrieval.
It bridges the gap between static documents and live APIs. You get answers that combine your internal marketing PDFs with real-time call center metrics.
Pass an allowed tools array when setting up the tool spec. This prevents the agent from running expensive reports if it only needs basic account info.
We enforce a strict zero-trust architecture. Your raw communication reports pass through a temporary, encrypted tunnel and are never cached on Vinkius infrastructure.

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