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Sanity Alternative MCP. Query your content, manage datasets, and update documents via natural chat.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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Works with every AI agent you already use

…and any MCP-compatible client

Sanity Alternative MCP on Cursor AI Code Editor MCP Client Sanity Alternative MCP on Claude Desktop App MCP Integration Sanity Alternative MCP on OpenAI Agents SDK MCP Compatible Sanity Alternative MCP on Visual Studio Code MCP Extension Client Sanity Alternative MCP on GitHub Copilot AI Agent MCP Integration Sanity Alternative MCP on Google Gemini AI MCP Integration Sanity Alternative MCP on Lovable AI Development MCP Client Sanity Alternative MCP on Mistral AI Agents MCP Compatible Sanity Alternative MCP on Amazon AWS Bedrock MCP Support

Just plug in your AI agents and start using Vinkius.

Sanity Alternative MCP Server lets your AI agent talk directly to your headless CMS data. Use the server to run complex GROQ queries, create new content drafts, update existing documents, or manage entire datasets—all through natural conversation with any compatible client.

What your AI agents can do

Create dataset

Creates a new, empty content collection within your Sanity project for staging or development use.

Create document

Builds and saves a brand new document using required fields like type and title, returning the new document ID.

Delete document

Permanently removes content by requiring only the document's unique ID. Be careful—this action is irreversible.

+ 8 more capabilities included
Query Documents

Run complex GROQ queries against your content collections to find specific data points (e.g., 'all posts published last quarter').

Create Content Records

Generate and save new documents with defined types and fields, such as drafting a new blog post or product page.

Update Document Fields

Change specific data points on existing content items—for instance, changing a draft's status to 'published'.

Manage Media Assets

List and browse image assets from your media library to verify which images are available for use.

Audit User Accounts

Get a list of all project members and check current access permissions across the team.

Supported MCP Clients

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients
Free for Subscribers

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AI Agent

Sanity Alternative: 11 Tools for Content Operations

Use these tools to query, read, update, or delete content across your entire Sanity project via your AI client.

create019d847b

create dataset

Creates a new, empty content collection within your Sanity project for staging or development use.

create019d847b

create document

Builds and saves a brand new document using required fields like type and title, returning the new document ID.

delete019d847b

delete document

Permanently removes content by requiring only the document's unique ID. Be careful—this action is irreversible.

get019d847b

get document

Retrieves all field data for one specific document, using its ID or draft identifier.

list019d847b

list datasets

Lists every available content collection in your Sanity project (e.g., 'production' and 'staging').

list019d847b

list documents

Browses all documents of a specific type, returning their IDs and core fields to help you see what data exists.

list019d847b

list image assets

Lists available media files in your library, giving you the asset ID, original filename, and dimensions.

list019d847b

list users

Retrieves a list of all project members to help audit who has access to the content collections.

query019d847b

query documents

Runs advanced GROQ queries against your dataset, allowing you to pull highly specific data sets based on complex filters.

search019d847b

search documents

Searches for documents by type and applies a limit, returning matching content with their full field details.

update019d847b

update document

Modifies fields on an existing document using its ID, allowing you to change statuses or titles without rewriting the whole record.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

  • Import from OpenAPI, Swagger, or YAML specs
  • Create Agent Skills with progressive disclosure
  • Deploy to edge with MCPFusion framework
  • Built in DLP, auth, and compliance on every call
  • Real time usage dashboard and cost metering
  • Publish to catalog or keep private
Start building

Make Your AI Do More

Start with Sanity Alternative, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 4,700+ others, all in one place
  • Add new capabilities to your AI anytime you want
  • Every connection is secured and compliant automatically
  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
  • New servers added to the catalog every week

What you can do with this MCP connector

Listen up. This server lets your AI agent talk directly to your headless CMS data. You can treat your entire Sanity project like a conversational endpoint, ditching the manual clicks in the Studio and the boilerplate API calls that slow you down.

Query Documents: The query_documents tool runs advanced GROQ queries against all your content collections. You don't just search; you pull highly specific data sets—think pulling 'every article published last quarter that mentions widget X but isn't in the finance department.' Need to narrow it down? Use search_documents which lets you target content by type and apply a limit, giving you full field details for every match.

If you just wanna see what collections exist across your whole project—like 'production,' 'staging,' or maybe a dev sandbox—the list_datasets tool lists all available content collections.

Reading Data: Wanna check if a specific document is still around? The get_document tool retrieves every piece of field data for one particular record, whether you know its ID or it's still sitting as a draft. If you just wanna browse what types of documents exist in general, the list_documents tool shows you all content types and gives you their IDs and core fields so you know exactly what’s hanging out there.

Content Lifecycle Management: When you write new stuff, you use create_document. This builds and saves a brand-new document—you gotta specify the required type and title when you run it, and it hands back that fresh document ID. You can also make whole collections if you need one for staging or development using create_dataset, which leaves you with an empty but ready container.

Don't forget about updating stuff. The update_document tool modifies fields on a record without making you rewrite the entire thing. Maybe a draft needs its status changed to 'published'? You do that here. Or maybe it’s just a typo in the title—you fix it with this tool using the document ID.

And when something's dead, delete_document takes it out permanently. Use that only when you know for sure; it's irreversible.

Auditing and Assets: You gotta keep track of who can touch what. The list_users tool gives you a clean list of every project member, letting you audit current access permissions across the whole team. Need to check which images are available? The list_image_assets tool lists all media files in your library, giving you the asset ID, the original filename, and the exact dimensions so you know what you're working with.

This means your AI client acts like a dedicated operations assistant for your content. It lets you run complex queries, manage drafts, update statuses, check user permissions, and track media assets—all from natural conversation. You won't be stuck navigating the Studio or writing repetitive API calls just to verify metadata.

Everything you need lives right here.

How Sanity Alternative MCP Works

  1. 1 First, subscribe to the Sanity Alternative server. Then, you'll need to paste in your specific API credentials: Project ID, Dataset name, and API Token.
  2. 2 Next, tell your AI client what you need. You can ask it things like, 'List all product types with price over $50,' or 'Update the slug for post XYZ.'
  3. 3 The agent runs the appropriate tool (like query_documents or update_document) and sends back a clean array of results or confirmation that the action succeeded.

The bottom line is you manage your entire content lifecycle by talking to your AI client, not by clicking through developer dashboards.

Who Is Sanity Alternative MCP For?

Content Managers and Technical SEOs. This server is for the person who gets paid to move content but hates logging into five different internal tools just to verify a single data point. It's also for developers building custom CMS interfaces who need structured access without writing boilerplate API calls.

Content Manager

You use this to search documents by keyword or run simple queries to locate specific content, and then you ask your agent to draft new pieces using create_document.

Technical Developer

You call the server's tools programmatically—specifically query_documents with complex GROQ filters—to feed structured data into a microservice or application.

Editor/Publisher

You verify content by listing assets using list_image_assets, and then you ask the agent to update the status of multiple documents in bulk.

What Changes When You Connect

  • Stop clicking through 15 tabs just to find a single article. Use list_documents or search_documents to immediately pull metadata about all articles of type 'post'.
  • You don't need to write complex API calls in code for basic content changes. Just tell your agent, 'Update post ABC-123 status to published.' The update_document tool handles the rest.
  • Need to check if a file exists before processing it? Use list_image_assets to quickly browse and get metadata on every asset in your media library without logging into the admin panel.
  • Running custom reports used to mean writing painful GROQ queries. Now, you use query_documents with natural language prompts to pull complex data sets immediately.
  • Managing different environments is a nightmare. Use list_datasets and create_dataset to easily verify if your 'staging' collection is clean before deploying new content.

Real-World Use Cases

01

Content team needs to audit who has publishing rights.

The Content Manager runs into a roadblock: they can't find out which external contractor has access. They prompt the agent, 'List all project members and their roles.' The agent uses list_users and returns a clean list of users and permissions, solving the audit problem instantly.

02

Developer needs to verify content structure before deployment.

A developer wants to ensure every product has a price field. They use query_documents with a GROQ query targeting 'product' documents and checking for missing fields, confirming data integrity across thousands of records.

03

Editor needs to bulk-update drafts.

An editor finishes writing 20 articles in draft mode. Instead of logging into each one to change the status, they ask their agent to 'Update all these documents to published.' The agent runs update_document for all 20 IDs.

04

Technical SEO needs to check old content drafts.

The SEO specialist suspects some archived blog posts are still live. They use query_documents filtering by 'post' type and checking the publishedAt date range, pulling only the stale documents they need to fix.

The Tradeoffs

Trying to run a query without specifying types.

Prompting: 'Show me all data about products.' The server might return mixed results or throw an error because it doesn't know which content collection you mean.

Be specific. Always use the query_documents tool and include the type filter in your prompt, like, 'Run a query to find all documents where _type is 'product' and publishedAt > $date.' This directs the agent correctly.

Treating data deletion as irreversible.

An editor asks the agent to delete 5 posts using delete_document without confirming they are sure. The system executes it immediately, and the content is gone for good.

Always verify the document ID or list the documents first using list_documents. Confirm the IDs with your agent before running delete_document, since this action has no undo.

Manually copying and pasting fields into prompts.

Instead of asking, 'What are the dimensions of asset X?', a user pastes JSON data for Asset X and asks to read it. This breaks the conversational flow and is error-prone.

The agent should use list_image_assets first. Then, you ask the agent to pull details on the returned IDs, keeping the interaction natural and focused.

When It Fits, When It Doesn't

Use this MCP Server if your core workflow involves reading, writing, or auditing structured content data in Sanity. Specifically, if you need to run complex queries (query_documents) or manage multiple datasets (list_datasets), this is the tool for you.

Don't use it if all you need is a simple API GET request on one field. In that case, writing direct code might be simpler. Also, don't rely on it to handle complex business logic (e.g., 'If product A is updated, then send an email'). This server manages data; your agent handles the workflow orchestration.

It’s essential to differentiate between query_documents (for filtering based on criteria) and search_documents (for finding records by type/limit). Use both when the query isn't immediately obvious, but if you know the field names, stick with the power of GROQ via query_documents.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Sanity. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

VINKIUS INFRASTRUCTURE

Cloud Hosted

Managed infra

V8 Isolated

Sandboxed per request

Zero-Trust Proxy

No stored credentials

DLP Enforced

Policy on every call

GDPR Compliant

EU data residency

Token Compression

~60% cost reduction

How we secure it →

Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This server provides 11 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

create_dataset create_document delete_document get_document list_datasets list_documents list_image_assets list_users query_documents search_documents update_document

Searching your CMS data used to mean writing boilerplate API wrappers.

Today, pulling a list of published articles means hitting three different endpoints: one for listing types, another for filtering by date, and then a third call just to get the full fields you want. It's tedious, involves managing tokens, and requires writing custom code every time your schema changes.

With this MCP server, you tell your agent what you need—'List all blog posts published in Q2.' The agent uses `list_documents` or `query_documents`, handles the complex filtering behind the scenes, and gives you a clean response array. It’s done.

Sanity Alternative MCP Server: Content Management Tools

The hardest part of content is keeping track of it. You have to check if the right dataset is active, verify that a draft hasn't been accidentally deleted, and confirm which media asset ID you are referencing in your code.

Now, all those checks—from listing datasets (`list_datasets`) to verifying images with `list_image_assets`—are handled through conversation. You get the data you need, without ever opening a developer console.

Common Questions About Sanity Alternative MCP

How do I get a Sanity API token? +

Log in to manage.sanity.io, select your project, go to API tab, and click Generate API token. Choose read/write permissions and copy the token immediately.

What is GROQ? +

GROQ (Graph-Relational Object Queries) is Sanity's query language for fetching and transforming content. It's similar to GraphQL but designed specifically for document-based content. Use the query_documents tool to run custom GROQ queries.

Can I create new content types? +

Yes! Use create_document with any _type value (e.g. "post", "product", "author"). The document will be created with that type. Schema validation is handled by your Sanity Studio configuration, not the API.

Can I search for documents by keyword? +

Yes! Use search_documents with a search term. It will search across all document fields. Optionally filter by specific document types and set a result limit. For more complex searches, use query_documents with custom GROQ.

When I use list_documents, how do I specify whether I want content from my staging or production dataset? +

The list_documents tool requires you to configure which dataset you're targeting. You must explicitly provide the desired dataset name in your request payload. This ensures you never accidentally check development data when you meant to query live content.

If I run delete_document, what safeguards are in place before permanently removing a record? +

The delete_document action is irreversible by design; the tool executes deletion immediately upon confirmation. Because of this risk, always use your AI client to confirm the document ID and dataset name before running the command.

How can I optimize my query_documents calls if I'm retrieving large amounts of data? +

To prevent performance issues when using query_documents, limit your result set size or refine your GROQ filters. Only request the specific fields you need (e.g., {title, slug}) rather than fetching all content for every document.

When using update_document, do I have to provide values for every single field on a document? +

No. The update_document tool only modifies the fields you include in your request JSON object. You can specify just 'title' and 'status', leaving all other existing content untouched.

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Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

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