TextGrid MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Check Api Health, Get Account Details, Get Message Details, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add TextGrid 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 TextGrid app connector for LlamaIndex is a standout in the Productivity 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 TextGrid. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in TextGrid?"
)
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 TextGrid MCP Server
Connect your TextGrid account to any AI agent and simplify how you manage your cloud telephony, global messaging, and communication logs through natural conversation.
LlamaIndex agents combine TextGrid 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
- Global Messaging — Send instant SMS and MMS messages to recipients worldwide with full status tracking.
- Voice Call Control — Initiate outbound voice calls and retrieve a complete history of inbound and outbound communication.
- Phone Number Management — List your active numbers and search for new available phone numbers across different countries.
- Usage & Cost Tracking — Retrieve detailed usage statistics and records to monitor your communication budget.
- Account Oversight — Fetch account metadata, API keys, and physical addresses for regulatory compliance.
- Operational Monitoring — Check API health and verify connectivity directly from the agent.
The TextGrid 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 TextGrid tools available for LlamaIndex
When LlamaIndex connects to TextGrid through Vinkius, your AI agent gets direct access to every tool listed below — spanning cloud-telephony, sms-api, voice-api, 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 Textgrid API status
Get account profile and balance
Get details for a specific message
Retrieve usage and cost records
Start a new voice call
List addresses for regulatory compliance
List your active phone numbers
List account API keys
List sent and received SMS messages
List voice call history
Search for new phone numbers
Send a new SMS or MMS
Connect TextGrid to LlamaIndex via MCP
Follow these steps to wire TextGrid 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 TextGrid MCP Server
LlamaIndex provides unique advantages when paired with TextGrid through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine TextGrid tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain TextGrid tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query TextGrid, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what TextGrid tools were called, what data was returned, and how it influenced the final answer
TextGrid + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the TextGrid MCP Server delivers measurable value.
Hybrid search: combine TextGrid real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query TextGrid 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 TextGrid for fresh data
Analytical workflows: chain TextGrid queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for TextGrid in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with TextGrid immediately.
"Send an SMS to +15550199 saying 'Your verification code is 12345'."
"Show me the last 3 voice calls from my history."
"Search for available mobile numbers in the United Kingdom."
Troubleshooting TextGrid MCP Server with LlamaIndex
Common issues when connecting TextGrid to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpTextGrid + LlamaIndex FAQ
Common questions about integrating TextGrid MCP Server with LlamaIndex.