Can I send transactional SMS messages via the AI agent?

Yes! You can specify the recipient's phone number and the message content, and the AI will trigger the eSputnik SMS endpoint.

How do I query my contact segments?

Ask the agent to 'List all contact groups'. It will retrieve your active segments directly from the eSputnik API.

Does it support adding new contacts dynamically?

Absolutely. You can request the AI to add an email or phone number to your active directory instantly.

INSTANT PLUG AND PLAY

eSputnik MCP Server for CrewAIGive CrewAI instant access to 12 tools to Attach To Group, Create Contact, Detach From Group, and more

Name: eSputnik
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 12 Tools Framework

Connect your CrewAI agents to eSputnik through Vinkius, pass the Edge URL in the `mcps` parameter and every eSputnik tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Use with Your AI Agent

Ask AI about this App Connector for CrewAI

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The eSputnik app connector for CrewAI is a standout in the Marketing 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

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="eSputnik Specialist",
    goal="Help users interact with eSputnik effectively",
    backstory=(
        "You are an expert at leveraging eSputnik 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 eSputnik "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 eSputnik MCP Server

The eSputnik MCP server allows your AI agent to orchestrate marketing campaigns across Email, SMS, Web Push, and Mobile Push. Send messages, retrieve contact lists, and manage omnichannel workflows seamlessly.

When paired with CrewAI, eSputnik becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call eSputnik tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

The eSputnik MCP Server exposes 12 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.

All 12 eSputnik tools available for CrewAI

When CrewAI connects to eSputnik through Vinkius, your AI agent gets direct access to every tool listed below — spanning esputnik, email, sms, 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.

attach_to_group

Add contacts to a specific group

create_contact

Create a new contact in eSputnik

detach_from_group

Remove contacts from a group

get_account_info

Retrieve account and organization metadata

get_contact

Retrieve details for a specific contact

get_message_status

Check the delivery status of a sent message

list_contacts

List all contacts in eSputnik

list_groups

List all contact groups/segments

list_unsubscribed

List unsubscribed email addresses

search_contacts

Search for contacts by email or phone

send_smart_send

Trigger an omnichannel message send

trigger_event

Generate a system event to trigger workflows

Connect eSputnik to CrewAI via MCP

Follow these steps to wire eSputnik into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 12 tools from eSputnik

Why Use CrewAI with the eSputnik MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with eSputnik 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

eSputnik + CrewAI Use Cases

Practical scenarios where CrewAI combined with the eSputnik MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries eSputnik 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 eSputnik, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain eSputnik 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 eSputnik against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for eSputnik in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with eSputnik immediately.

"List all my contact groups in eSputnik."

"Send an SMS saying 'Your order has shipped!' to +123456789."

"Add 'john@example.com' to the 'VIP Customers' list."

Troubleshooting eSputnik MCP Server with CrewAI

Common issues when connecting eSputnik to CrewAI through the Vinkius, and how to resolve them.

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.

eSputnik + CrewAI FAQ

Common questions about integrating eSputnik MCP Server with CrewAI.

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.