Marchex MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Marchex as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Marchex. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Marchex?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Marchex MCP Server
Connect your Marchex account to any AI agent and take full control of your conversation intelligence through natural conversation.
LlamaIndex agents combine Marchex tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Call Tracking — Search for calls, fetch detailed metadata, and monitor statuses
- Campaign Management — List and inspect tracking campaigns and their configurations
- Number Management — Manage tracking phone numbers and account structures
- Analytics — Retrieve aggregated performance metrics and call analytics
The Marchex MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Marchex to LlamaIndex via MCP
Follow these steps to integrate the Marchex MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Marchex
Why Use LlamaIndex with the Marchex MCP Server
LlamaIndex provides unique advantages when paired with Marchex through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Marchex tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Marchex tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Marchex, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Marchex tools were called, what data was returned, and how it influenced the final answer
Marchex + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Marchex MCP Server delivers measurable value.
Hybrid search: combine Marchex real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Marchex to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Marchex for fresh data
Analytical workflows: chain Marchex queries with LlamaIndex's data connectors to build multi-source analytical reports
Marchex MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Marchex to LlamaIndex via MCP:
get_account_details
Get details for a specific account
get_call_analytics
Get call analytics
get_call_details
Get details for a specific call
get_campaign_details
Get details for a specific campaign
get_number_details
Get details for a specific number
list_accounts
List all accounts
list_campaigns
List all campaigns
list_numbers
List all tracking numbers
list_users
List all users
search_calls
Search for phone calls
Example Prompts for Marchex in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Marchex immediately.
"Search for calls from last week."
"List active tracking campaigns."
"Show call analytics for today."
Troubleshooting Marchex MCP Server with LlamaIndex
Common issues when connecting Marchex to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpMarchex + LlamaIndex FAQ
Common questions about integrating Marchex MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Marchex with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Marchex to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.