Bring Sms Marketing
to CrewAI
Learn how to connect Texter to CrewAI and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Texter MCP Server?
Connect your Texter account to any AI agent and simplify how you manage customer conversations across WhatsApp, Instagram, and more through natural conversation.
What you can do
- Chat Management — List all active chats and retrieve detailed metadata and history for specific conversations.
- Omichannel Messaging — Send session messages to active chats or use pre-approved templates for new outreach.
- Conversation Control — Resolve or close chats and apply labels for better organization and tracking.
- Workspace Oversight — List departments, labels, and connected messaging channels (WhatsApp, Instagram, etc.).
- Template Automation — Send localized template messages with dynamic components directly via AI.
- Team Coordination — Monitor active threads and manage chat assignments across your unified inbox.
How it works
1. Subscribe to this server
2. Enter your Texter API Token and Project ID (found in your workspace settings)
3. Start managing your unified messaging from Claude, Cursor, or any MCP client
Who is this for?
- Customer Support Teams — quickly respond to inquiries and resolve chats via simple AI commands.
- Sales & Marketing — automate the sending of template-based notifications and manage lead conversations directly.
- Operations Managers — monitor chat volume and verify channel connectivity without leaving the workspace.
Built-in capabilities (10)
Assign a label to a chat
Get chat details
). List connected channels
List all active chats
List departments
List chat labels
List messages in a chat
Resolve or close a chat
Send a message to an active chat
Send a WhatsApp/Messenger template message
Why CrewAI?
When paired with CrewAI, Texter becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Texter tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
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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
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter 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
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Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Texter in CrewAI
Texter and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Texter to CrewAI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Texter in CrewAI
The Texter 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. All 10 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in CrewAI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Texter for CrewAI
Every tool call from CrewAI to the Texter MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I see the history of a specific chat via AI?
Yes! Use the list_texter_messages tool and provide the Chat ID. Your agent will retrieve the complete message log for that conversation.
How do I send a WhatsApp template with parameters?
Use the send_texter_template action. Provide the destination number, Template ID, language, and a JSON array for the dynamic components to personalize the message.
Is it possible to assign a label to a conversation via AI?
Absolutely. Use the add_label_to_texter_chat tool. Provide the Chat ID and the Label ID to organize your inbox programmatically.
How does CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard 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?
Yes. Each agent has its own 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?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using 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)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.