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Sanity Alternative MCP Server for LlamaIndex 11 tools — connect in under 2 minutes

Built by Vinkius GDPR 11 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Sanity Alternative as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Sanity Alternative. "
            "You have 11 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Sanity Alternative?"
    )
    print(response)

asyncio.run(main())
Sanity Alternative
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* 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 Alternative MCP Server

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

LlamaIndex agents combine Sanity Alternative tool responses with indexed documents for comprehensive, grounded answers. Connect 11 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

  • Content Queries — List, search and retrieve documents by type or run custom GROQ queries
  • Content Management — Create, update and delete documents with full schema support
  • Dataset Management — List existing datasets and create new ones for staging/development
  • Asset Management — Browse image assets and manage media library content
  • Team Management — List project members and audit access permissions

The Sanity Alternative MCP Server exposes 11 tools through the Vinkius. Connect it to LlamaIndex 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 Alternative to LlamaIndex via MCP

Follow these steps to integrate the Sanity Alternative MCP Server with LlamaIndex.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 11 tools from Sanity Alternative

Why Use LlamaIndex with the Sanity Alternative MCP Server

LlamaIndex provides unique advantages when paired with Sanity Alternative through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Sanity Alternative tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Sanity Alternative tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Sanity Alternative, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Sanity Alternative tools were called, what data was returned, and how it influenced the final answer

Sanity Alternative + LlamaIndex Use Cases

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

01

Hybrid search: combine Sanity Alternative real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Sanity Alternative to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Sanity Alternative for fresh data

04

Analytical workflows: chain Sanity Alternative queries with LlamaIndex's data connectors to build multi-source analytical reports

Sanity Alternative MCP Tools for LlamaIndex (11)

These 11 tools become available when you connect Sanity Alternative to LlamaIndex via MCP:

01

create_dataset

Provide the dataset name (e.g. "staging", "development"). The dataset will be empty and ready for content. Dataset names must be lowercase alphanumeric. Create a new Sanity dataset

02

create_document

Requires a JSON object with _type and content fields. For example: {"_type": "post", "title": "Hello", "body": "World"}. Returns the created document with its generated ID. Create a new Sanity document

03

delete_document

Provide the document ID. WARNING: this action is irreversible. Delete a Sanity document

04

get_document

g. "drafts.abc123" or "abc123"). Returns the full document with all fields. Useful for inspecting individual content items. Get a specific Sanity document by ID

05

list_datasets

Datasets are isolated content collections within a project (e.g. "production", "staging", "development"). List all datasets in the Sanity project

06

list_documents

g. "post", "product", "author") from the configured dataset. Each document returns its _id, content fields and metadata. Use this to browse content collections. List documents of a specific type in Sanity

07

list_image_assets

Each asset includes its _id, original filename, dimensions and metadata. Optionally set a limit. Useful for managing media library content. List image assets in Sanity

08

list_users

Useful for auditing project access and team management. List project members in Sanity

09

query_documents

Requires a GROQ query string. Optionally provide params as JSON for parameterized queries. Returns query results as an array. Example query: "*[_type == 'post' && publishedAt > $date]{title, slug}" Run a GROQ query against Sanity

10

search_documents

Optionally filter by document types and set a result limit. Returns matching documents with their full content. Search documents in Sanity

11

update_document

Requires the document ID and a JSON object with the fields to set. For example: {"title": "Updated Title", "status": "published"}. Only provided fields will be modified. Update fields on a Sanity document

Example Prompts for Sanity Alternative in LlamaIndex

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

01

"List all published blog posts in my Sanity project."

02

"Create a new draft post titled 'API Integration Guide' with status 'draft'."

03

"Run a GROQ query to find all products with price greater than 100."

Troubleshooting Sanity Alternative MCP Server with LlamaIndex

Common issues when connecting Sanity Alternative to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Sanity Alternative + LlamaIndex FAQ

Common questions about integrating Sanity Alternative MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Sanity Alternative tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Connect Sanity Alternative to LlamaIndex

Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.