How to Use the Cosmic (Headless CMS & Content API) MCP in LlamaIndex

Q: Does LlamaIndex support Cosmic (Headless CMS & Content API) tool filtering?

You can use an allowedtools filter when passing the MCP tool list to your agent. This restricts the agent to only the CMS operations you permit.

Q: Is Cosmic (Headless CMS & Content API) compatible with FunctionAgent?

Yes, call totoollistasync() on your tool spec and pass the resulting list directly to your FunctionAgent constructor.

Index live CMS data into your RAG pipeline using the Cosmic (Headless CMS & Content API) MCP Server and LlamaIndex.

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Connect Cosmic (Headless CMS & Content API) MCP to LlamaIndex

Create your Vinkius account to connect Cosmic (Headless CMS & Content API) to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Cosmic (Headless CMS & Content API) with LlamaIndex

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Ground LlamaIndex RAG in live content

Turn your CMS entries into a searchable knowledge base by indexing output from `list_objects`. Your agent retrieves specific records and embeds them into your vector store for grounded answers. This prevents your LlamaIndex application from hallucinating about your product data. You get exact, factual responses pulled straight from your live bucket content.

Audit content history in LlamaIndex

Query past changes using `list_revisions` and `get_revision` to understand how your data evolved. Your agent compares historical states to provide context-aware summaries. This allows your LlamaIndex setup to explain the "why" behind specific content updates. It connects your current query to the deep history stored inside your CMS.

Automate media cataloging

Use `list_media` to pull your entire asset library into your index. Your agent catalogs these assets based on their metadata and object relationships. This creates a searchable map of your media within LlamaIndex. You can then ask questions about your assets that require cross-referencing CMS objects with physical media files.

Setup guide

Set up Cosmic (Headless CMS & Content API) 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 Cosmic (Headless CMS & Content API) 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 Cosmic (Headless CMS & Content API) tools.",
)
response = await agent.run("List recent Cosmic (Headless CMS & Content API) data")

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Common questions about Cosmic (Headless CMS & Content API) MCP in LlamaIndex

You can use an `allowed_tools` filter when passing the MCP tool list to your agent. This restricts the agent to only the CMS operations you permit.

The MCP tool output is treated as raw text or JSON, which LlamaIndex then parses and embeds into its vector store for semantic search.

Yes, call `to_tool_list_async()` on your tool spec and pass the resulting list directly to your FunctionAgent constructor.

No, your credentials stay with your local client environment. Only the authorized endpoint token is used by the Vinkius-hosted server.

Your content objects are fetched on demand during the RAG process. The server operates in an ephemeral V8 sandbox that clears all memory after every request.

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