Statsig MCP Server for CrewAIGive CrewAI instant access to 12 tools to Check Gate, Create Dynamic Config, Create Gate, and more

Name: Statsig
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The Statsig MCP Server for CrewAI is a standout in the Developer Tools category — giving your AI agent 12 tools to work with, ready to go from day one.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Statsig Specialist",
    goal="Help users interact with Statsig effectively",
    backstory=(
        "You are an expert at leveraging Statsig 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 Statsig "
        "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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About Statsig MCP Server

Connect your Statsig project to any AI agent to manage feature rollouts and product experiments through natural conversation.

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

Feature Gates — Evaluate if a feature is enabled for a specific user or list all project gates
Dynamic Configs — Fetch JSON configurations and experiments to control app behavior without code changes
Event Logging — Log custom events for real-time analytics and metric calculation
Gate Management — Create, update, or delete feature gates directly via the Console API
Layer Inspection — Evaluate layers and retrieve parameter values for specific users

The Statsig MCP Server exposes 12 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Statsig tools available for CrewAI

When CrewAI connects to Statsig through Vinkius, your AI agent gets direct access to every tool listed below — spanning feature-flags, ab-testing, product-experimentation, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

check

Check gate on Statsig

Requires STATSIG_SERVER_SECRET_KEY. Evaluates one or more feature gates for a user

create

Create dynamic config on Statsig

Requires STATSIG_CONSOLE_API_KEY. Create a new dynamic config

create

Create gate on Statsig

Requires STATSIG_CONSOLE_API_KEY. Create a new feature gate

delete

Delete gate on Statsig

Requires STATSIG_CONSOLE_API_KEY. Delete a feature gate

get

Get config on Statsig

Requires STATSIG_SERVER_SECRET_KEY. Fetches configuration values for a dynamic config or experiment

get

Get dynamic config on Statsig

Requires STATSIG_CONSOLE_API_KEY. Read a specific dynamic config

get

Get gate on Statsig

Requires STATSIG_CONSOLE_API_KEY. Read a specific feature gate

get

Get layer on Statsig

Requires STATSIG_SERVER_SECRET_KEY. Fetches parameter values from a layer

list

List dynamic configs on Statsig

Requires STATSIG_CONSOLE_API_KEY. List all dynamic configs in the project

list

List gates on Statsig

Requires STATSIG_CONSOLE_API_KEY. List all feature gates in the project

log

Log event on Statsig

Requires STATSIG_SERVER_SECRET_KEY. Logs custom events for analytics and metric calculation

update

Update gate on Statsig

Requires STATSIG_CONSOLE_API_KEY. Update an existing feature gate

Connect Statsig to CrewAI via MCP

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

Why Use CrewAI with the Statsig MCP Server

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

Statsig + CrewAI Use Cases

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

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

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

Example Prompts for Statsig in CrewAI

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

"Check if the gate 'new_checkout_flow' is enabled for user 'user_99'."

"List all feature gates in my Statsig project."

"Create a new feature gate named 'mobile_redesign' with description 'Testing new UI'."

Troubleshooting Statsig MCP Server with CrewAI

Common issues when connecting Statsig to CrewAI through 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.

Statsig + CrewAI FAQ

Common questions about integrating Statsig 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.