Can my AI agent write complex GROQ queries for me?

Yes. If you know what data you want but aren't totally familiar with GROQ syntax, you can simply ask your agent: 'Write and execute a GROQ query to find all author documents where the name starts with John and return just their ID and bio.' The agent will draft the query, execute it via the `run_groq_query` tool, and return the filtered JSON.

How do I perform a bulk update on my documents?

You can ask your agent to first fetch the documents (e.g., 'List all posts missing a category'), calculate the changes needed, and then use the `run_raw_mutation` tool or `patch_cms_document` iteratively to apply the updates. This acts as a conversational migration script, updating dozens of documents safely and quickly.

Can the agent check if media assets are missing from my posts?

Yes. The agent can use the document querying tools combined with `list_media_assets` to analyze your content. For instance, you can ask it to generate a report of all products that do not have an associated image reference, giving you an exact list of items to fix in the Studio.

Sanity MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Sanity
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Sanity Specialist",
    goal="Help users interact with Sanity effectively",
    backstory=(
        "You are an expert at leveraging Sanity 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 Sanity "
        "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)

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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 Sanity MCP Server

Connect your Sanity project to any AI agent and take full control of your Content Lake through natural conversation.

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

GROQ Queries — Execute powerful Graph-Relational Object Queries to fetch exactly the content you need
Document Management — Create, read, update, patch, and delete documents of any schema type
Schema Insights — List unique schema types and count entity nodes dynamically
Media Assets — Browse and manage images and file assets uploaded to your project
Bulk Operations — Run raw Sanity mutations for complex, multi-document transactions

The Sanity 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 Sanity to CrewAI via MCP

Follow these steps to integrate the Sanity 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 Sanity

Why Use CrewAI with the Sanity MCP Server

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

Sanity + CrewAI Use Cases

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

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

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

Sanity MCP Tools for CrewAI (10)

These 10 tools become available when you connect Sanity to CrewAI via MCP:

count_entity_nodes

Counts the number of documents of a specific type

create_cms_document

Specify the type and provide attributes as a JSON object. Creates a new document in the CMS

get_document_details

Retrieves full details for a specific document by ID

list_media_assets

Lists all image and file assets uploaded to Sanity

list_typed_documents

g., "post", "author"). Lists all documents of a specific type

list_unique_schema_types

Retrieves a list of all unique document types present in the dataset

patch_cms_document

Provide a JSON object of fields to set. Updates specific fields of an existing document

run_groq_query

Executes a GROQ (Graph-Relational Object Queries) query

run_raw_mutation

Provide a JSON array of mutation objects. Executes a raw Sanity mutation

wipe_cms_document

This action is irreversible. Permanently deletes a document from the CMS

Example Prompts for Sanity in CrewAI

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

"List all unique schema types in my dataset."

"Write a GROQ query to find the 3 most recently updated authors."

"Update the post with ID 'drafts.1234' and set its published state to true."

Troubleshooting Sanity MCP Server with CrewAI

Common issues when connecting Sanity 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.

Sanity + CrewAI FAQ

Common questions about integrating Sanity 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.