How do I identify a person in Kissmetrics?

You can use an email address or any unique string as the identity (`person` parameter) in the tracking tools. Use the `alias_identities` tool to link multiple IDs to the same person.

Can I query report data through this agent?

Yes, you can use the `query_metric_data` or `query_people_count` tools to retrieve aggregated values and counts based on your collected behavioral data.

Is it possible to see all my custom events?

Absolutely. Use the `list_event_types` tool to retrieve a comprehensive list of all events that have been defined or recorded in your account.

Kissmetrics MCP Server for CrewAI 7 tools — connect in under 2 minutes

Name: Kissmetrics
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 7 Tools Framework

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

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ASK AI ABOUT THIS MCP SERVER

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Kissmetrics Specialist",
    goal="Help users interact with Kissmetrics effectively",
    backstory=(
        "You are an expert at leveraging Kissmetrics 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 Kissmetrics "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 7 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 Kissmetrics MCP Server

Connect your Kissmetrics account to any AI agent to automate your user behavioral analytics and tracking workflows. This MCP server enables your agent to record events, manage user properties, and query complex metric data directly from natural language interfaces.

When paired with CrewAI, Kissmetrics becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Kissmetrics 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

Behavior Tracking — Record custom events for specific users to monitor their journey and interactions
Profile Management — Set and update user properties and metadata to maintain rich customer profiles
Identity Resolution — Alias multiple identities to maintain a single, unified view of a user across sessions
Data Discovery — List all defined event types and property names currently in your account
Analytical Querying — Retrieve people counts and metric values over time to track business performance

The Kissmetrics MCP Server exposes 7 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 Kissmetrics to CrewAI via MCP

Follow these steps to integrate the Kissmetrics 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 7 tools from Kissmetrics

Why Use CrewAI with the Kissmetrics MCP Server

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

Kissmetrics + CrewAI Use Cases

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

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

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

Kissmetrics MCP Tools for CrewAI (7)

These 7 tools become available when you connect Kissmetrics to CrewAI via MCP:

alias_identities

g., linking a browser ID to an email). Link two identities together

list_event_types

List all event types defined in the account

list_property_names

List all property names used in the account

query_metric_data

Requires a metric ID and query parameters. Get data for a specific metric

query_people_count

Get the count of people matching specific criteria

record_event

Requires a person identity (email/ID) and an event name. Record a behavior event for a person

set_person_properties

Set properties for a specific person

Example Prompts for Kissmetrics in CrewAI

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

"Record a 'Purchased' event for 'user@example.com' with price 49.99."

"Set the property 'Plan Tier' to 'Enterprise' for 'customer_123'."

"Show me all event types defined in my account."

Troubleshooting Kissmetrics MCP Server with CrewAI

Common issues when connecting Kissmetrics 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.

Kissmetrics + CrewAI FAQ

Common questions about integrating Kissmetrics 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.