How to Use the Prismic MCP in LlamaIndex

Q: How do I configure the Prismic MCP server with LlamaIndex?

Install llama-index-tools-mcp. Initialize a BasicMCPClient with your server URL, wrap it in an McpToolSpec, and pass the async tool list to your FunctionAgent.

Q: Can LlamaIndex query specific Prismic tags?

Yes. Your agent can call listdocumentsbytag to pull all content associated with a specific campaign or topic, then embed that exact subset into your index.

Q: Does this Prismic connection for LlamaIndex support raw API queries?

It does. The queryprismicdocuments tool accepts raw Prismic predicates. Your agent can construct complex queries to filter content before indexing it.

Turn your Prismic content into a searchable RAG knowledge base using LlamaIndex and this MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Prismic MCP to LlamaIndex

Create your Vinkius account to connect Prismic to LlamaIndex — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup Prismic with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Index Prismic content with LlamaIndex

This MCP Server turns your CMS into a live data source for LlamaIndex. Connect it, and your agent pulls hundreds of articles using `list_documents_by_type` to embed them into a vector store. You stop relying on static exports and start querying live data. When a user asks a question, the agent doesn't guess. It searches the vector index, finds the relevant chunks, and calls `get_document_by_id` to fetch the full, unedited source document straight from the API.

Ground answers in live CMS data

The `query_prismic_documents` tool gives your agent direct read access to your repository. Hallucinations happen when agents lack context. It runs raw predicates to find exactly what the user is asking about. The agent cross-references tags using `list_global_tags` or filters by specific metadata. Instead of making up a product feature, it reads the exact marketing copy you published yesterday and builds an answer around it.

Map repository schemas automatically

The `get_repo_metadata` tool maps your repository structure automatically. Your custom types change over time. Instead of manually updating your RAG pipeline every time an editor adds a field, your agent maps the new structure instantly. If you manage multi-language sites, the agent queries `list_i18n_languages` to understand available locales. It uses `search_filtered_locale` to index only the German or Japanese content into specific, language-isolated vector stores.

Setup guide

Set up Prismic MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Prismic MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Prismic tools.",
)
response = await agent.run("List recent Prismic data")

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Prismic. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Prismic now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Prismic MCP in LlamaIndex

Install `llama-index-tools-mcp`. Initialize a `BasicMCPClient` with your server URL, wrap it in an `McpToolSpec`, and pass the async tool list to your `FunctionAgent`.

Yes. Your agent can call `list_documents_by_tag` to pull all content associated with a specific campaign or topic, then embed that exact subset into your index.

It does. The `query_prismic_documents` tool accepts raw Prismic predicates. Your agent can construct complex queries to filter content before indexing it.

Store the document IDs in your vector metadata. When a chunk matches, the agent calls `get_document_by_id` to retrieve the complete, up-to-date record from the CMS.

The server reads your text, images, and metadata from the CMS. Your LlamaIndex application controls where those embeddings go, while the server handles the secure API transport.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript