80 Tools Your AI Agent Already Knows How to Use

Your AI agent can already do telecom. It just doesn't know it yet.

There's a gap between what AI agents can reason about and what they can actually do. Your agent can draft a perfect outbound campaign strategy, explain TCPA compliance rules, and recommend the ideal area codes for local presence dialing. But when it comes time to execute — buy the numbers, configure the IVR, launch the campaign — it hits a wall. It can think about telecom, but it can't touch it.

MCP changes that.

What is MCP?

Model Context Protocol is a standard developed by Anthropic for giving AI agents structured access to tools and data sources. Think of it as a universal plug that lets any AI model — Claude, GPT, or your own fine-tuned model — discover and invoke external capabilities without custom integration code.

Instead of building bespoke function-calling wrappers for every API, you expose an MCP endpoint. The agent connects, discovers what tools are available, understands their parameters through typed schemas, and starts using them. No SDK installation. No client library. No REST endpoint memorization.

Why this matters for telecom

Most MCP integrations so far have been about information retrieval — searching databases, reading documents, pulling metrics. That's useful, but telecom is different. Telecom is about doing things. Making calls. Sending messages. Buying phone numbers. Launching campaigns to thousands of prospects. Managing compliance registrations.

An AI agent that can only answer questions about your telecom setup is a fancy dashboard. An AI agent that can operate your telecom infrastructure is a workforce multiplier.

Trunx's MCP endpoint

Trunx ships a first-class MCP endpoint alongside its REST API. Same authentication (API key), same capabilities, same guardrails. It uses streamable HTTP transport, so it works with any MCP-compatible client — no WebSocket complications, no special protocol negotiation.

When your agent connects, it discovers 80+ tools spanning the full telecom stack:

• SMS — Send messages, list conversations, search message history
• Voice — Create outbound calls, list call logs, connect to AI agents
• Campaigns — Create campaigns, add prospects, start/pause/resume, monitor real-time stats
• DIDs — Search available numbers by area code, purchase, release, check health scores
• IVR — Create and update interactive voice response trees, assign them to phone numbers
• Agents — Create voice AI agents, configure their tools and knowledge bases, launch agent-powered calls
• Compliance — Register 10DLC brands, create messaging campaigns, check registration status
• Audio — Generate text-to-speech audio files for IVR prompts and voicemail drops
• Reputation — Check number reputation scores, run audits across your DID inventory

Every tool has typed input and output schemas. Your agent knows exactly what parameters are required, what's optional, and what the response will look like — before it makes a single call.

What this looks like in practice

Add the Trunx MCP endpoint to Claude Desktop, Cursor, or any MCP-compatible client. Point it at https://api.trunx.ai/mcp with your API key. That's the entire setup.

Now try this:

"Buy a phone number in area code 415, create a scheduling agent with a friendly tone, and assign that number to it."

Your agent will search for available 415 numbers, purchase one, create a voice AI agent configured for appointment scheduling, and wire the number to the agent — all through MCP tool calls. No code written. No dashboard clicked. No API docs consulted.

Or something more operational:

"Check the health scores on all my San Francisco numbers. If any are below 70, cool them down and spin up replacements in the same area code."

The agent queries DID health, evaluates the scores, triggers cooling on underperformers, searches for replacement numbers, purchases them, and assigns them to the same campaigns. Five minutes of agent reasoning replaces an hour of manual operations.

The developer experience

If you've integrated a telecom API before, you know the drill: install the SDK, read the docs, handle auth, map error codes, build retry logic, maintain the client library through version bumps. Multiply that across SMS, voice, campaigns, compliance, and reputation — and you've got a full-time maintenance burden.

With MCP, there is no client library. The protocol itself is the integration layer. Your agent discovers capabilities at runtime, adapts to schema changes automatically, and handles the full surface area through a single authenticated connection.

This isn't a wrapper around REST. It's a native interface designed for how AI agents actually work — tool discovery, typed invocation, structured responses.

Get started

If you already have a Trunx API key, you're five minutes away from giving your agent full telecom capabilities. Check out our MCP setup guide for step-by-step instructions on connecting Claude Desktop, Cursor, or your own MCP client.

If you're new to Trunx, sign up and get your API key. Every tool is available on the usage-based plan — no tier gating, no feature flags.

Your agent already knows how to use 80 tools. It's just waiting for the connection.