Placetel MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Get Group, Get Sip User, Get User, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Placetel 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 App Connector for LlamaIndex
The Placetel app connector for LlamaIndex is a standout in the Communication Messaging category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Placetel. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Placetel?"
)
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 Placetel MCP Server
Placetel
The Placetel MCP Server allows AI agents to interact with your Placetel PBX data seamlessly.
LlamaIndex agents combine Placetel 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
- Retrieve users, SIP users, and groups.
- Access phone numbers and routing plans.
- Manage devices and call detail records (CDRs).
The Placetel 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.
All 10 Placetel tools available for LlamaIndex
When LlamaIndex connects to Placetel through Vinkius, your AI agent gets direct access to every tool listed below — spanning cloud-pbx, sip-trunking, call-routing, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Get details for a specific group
Get details for a specific SIP user
Get details for a specific user
List Call Detail Records (CDRs)
List active or recent calls
List all devices
List all Placetel groups
List all Placetel numbers
List all Placetel SIP users
List all Placetel users
Connect Placetel to LlamaIndex via MCP
Follow these steps to wire Placetel into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Placetel MCP Server
LlamaIndex provides unique advantages when paired with Placetel through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Placetel tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Placetel tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Placetel, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Placetel tools were called, what data was returned, and how it influenced the final answer
Placetel + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Placetel MCP Server delivers measurable value.
Hybrid search: combine Placetel real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Placetel 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 Placetel for fresh data
Analytical workflows: chain Placetel queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Placetel in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Placetel immediately.
"List all devices in Placetel."
"Get call details from today."
"List all users in my account."
Troubleshooting Placetel MCP Server with LlamaIndex
Common issues when connecting Placetel to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpPlacetel + LlamaIndex FAQ
Common questions about integrating Placetel MCP Server with LlamaIndex.