Telnyx MCP Server for CrewAI 10 tools — connect in under 2 minutes
Connect your CrewAI agents to Telnyx through Vinkius, pass the Edge URL in the `mcps` parameter and every Telnyx tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from crewai import Agent, Task, Crew
agent = Agent(
role="Telnyx Specialist",
goal="Help users interact with Telnyx effectively",
backstory=(
"You are an expert at leveraging Telnyx tools "
"for automation and data analysis."
),
# Your Vinkius token. get it at cloud.vinkius.com
mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)
task = Task(
description=(
"Explore all available tools in Telnyx "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 10 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* 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 Telnyx MCP Server
Connect your Telnyx account to any AI agent and manage your voice and messaging operations directly through natural conversation.
When paired with CrewAI, Telnyx becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Telnyx tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
What you can do
- Send Messages — Dispatch SMS and MMS texts, including media URLs, across your numbers in real-time
- Check Delivery Status — Look up message details and verify whether texts were successfully delivered or rejected
- Manage Phone Numbers — Browse your active E.164 phone numbers and retrieve configuration details
- Messaging Profiles — Create, update, list, and delete messaging profiles for your applications
- Account Billing — Monitor your exact account balance and available credits before dispatching campaigns
The Telnyx MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI 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 Telnyx to CrewAI via MCP
Follow these steps to integrate the Telnyx MCP Server with CrewAI.
Install CrewAI
Run pip install crewai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Customize the agent
Adjust the role, goal, and backstory to fit your use case
Run the crew
Run python crew.py. CrewAI auto-discovers 10 tools from Telnyx
Why Use CrewAI with the Telnyx MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Telnyx through the Model Context Protocol.
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Telnyx + CrewAI Use Cases
Practical scenarios where CrewAI combined with the Telnyx MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries Telnyx for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff
Scheduled intelligence reports: set up a crew that periodically queries Telnyx, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain Telnyx tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow
Compliance and audit automation: a compliance agent queries Telnyx against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Telnyx MCP Tools for CrewAI (10)
These 10 tools become available when you connect Telnyx to CrewAI via MCP:
create_messaging_profile
Creates a new messaging profile
delete_messaging_profile
This action is irreversible. Permanently deletes a messaging profile
get_account_balance
Retrieves the current Telnyx account credit balance
get_message_details
Retrieves details and delivery status for a specific message
get_messaging_profile_details
Retrieves details for a specific messaging profile
get_number_settings
Retrieves configuration and capability details for a specific phone number
list_messaging_profiles
Lists all messaging profiles in the account
list_phone_numbers
164 numbers and retrieve their unique IDs. Lists all phone numbers owned by the account
send_media_message
Provide from/to numbers and a 100% public JPEG/PNG URL. Sends an outbound MMS message with a media URL
send_text_message
Provide a registered Telnyx from_number and a target to_number in E.164 format. Sends an outbound SMS message via Telnyx
Example Prompts for Telnyx in CrewAI
Ready-to-use prompts you can give your CrewAI agent to start working with Telnyx immediately.
"What is my current Telnyx account balance?"
"List all the phone numbers I currently own and their IDs."
"Send a text message from +14155552671 to +12125550999 saying that the server is down."
Troubleshooting Telnyx MCP Server with CrewAI
Common issues when connecting Telnyx to CrewAI through the Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
Telnyx + CrewAI FAQ
Common questions about integrating Telnyx MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.Can different agents in the same crew use different MCP servers?
mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.What happens when an MCP tool call fails during a crew run?
Can CrewAI agents call multiple MCP tools in parallel?
process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.Can I run CrewAI crews on a schedule (cron)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Connect Telnyx 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 Telnyx to CrewAI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
