Nimbata MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Check Nimbata Status, Create Source, Get Call Details, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Nimbata 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 Nimbata app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 12 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 Nimbata. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Nimbata?"
)
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 Nimbata MCP Server
Connect your Nimbata account to any AI agent and take full control of your call tracking orchestration and attribution through natural conversation. Nimbata provides a robust platform for managing inbound calls, and this integration allows you to retrieve call metadata, monitor marketing sources, and manage tracking phone numbers directly from your chat interface.
LlamaIndex agents combine Nimbata tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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 & Attribution Orchestration — List all managed inbound calls and retrieve detailed metadata programmatically, including duration, caller ID, and source attribution.
- Source & Channel Intelligence — Access and monitor your marketing tracking sources (Google Ads, Facebook, etc.) and create new ones directly from the AI interface.
- Number Lifecycle Management — List all active tracking phone numbers to maintain a clear overview of your communication infrastructure via natural language.
- Call Deep-Dive — Retrieve granular details for specific calls to understand context and attribution in real-time using simple AI commands.
- Operational Monitoring — Track system health and manage attribution metadata to ensure your marketing funnels are always optimized.
The Nimbata MCP Server exposes 12 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 12 Nimbata tools available for LlamaIndex
When LlamaIndex connects to Nimbata through Vinkius, your AI agent gets direct access to every tool listed below — spanning call-tracking, marketing-attribution, lead-generation, 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.
Verify connectivity
Create a tracking source
Get call details
Get recording
Get call report
Get number details
Get source details
Get source report
List calls
List tracking numbers
List tracking sources
Search calls
Connect Nimbata to LlamaIndex via MCP
Follow these steps to wire Nimbata 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 Nimbata MCP Server
LlamaIndex provides unique advantages when paired with Nimbata through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Nimbata tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Nimbata tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Nimbata, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Nimbata tools were called, what data was returned, and how it influenced the final answer
Nimbata + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Nimbata MCP Server delivers measurable value.
Hybrid search: combine Nimbata real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Nimbata 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 Nimbata for fresh data
Analytical workflows: chain Nimbata queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Nimbata in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Nimbata immediately.
"List all tracked calls in Nimbata from today."
"Show me the call tracking sources I have configured and their performance."
"Get the recording and full details for call ID call_7823."
Troubleshooting Nimbata MCP Server with LlamaIndex
Common issues when connecting Nimbata to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpNimbata + LlamaIndex FAQ
Common questions about integrating Nimbata MCP Server with LlamaIndex.