Can my agent create new content objects in Cosmic?

Yes. Use the 'create_cms_object' tool. Provide the type slug, title, and a JSON object for metadata. The agent will command the backend to generate a new entry in your specified bucket.

How do I audit the schema of an existing Object Type?

Provide the type slug to the 'get_schema_details' tool. Your agent will analyze the specific localized variables and decode the native boundaries, showing you exactly which fields and metadata parameters the schema requires.

Can I permanently delete media assets via the agent?

Absolutely. The 'wipe_media_asset' tool allows you to irreversibly remove physical media from your Cosmic buckets. This is a powerful way to manage your storage quotas and cleanup dangling files directly from the chat.

Cosmic MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: Cosmic
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

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

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

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 Cosmic. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())

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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 Cosmic MCP Server

Connect your Cosmic bucket to any AI agent and take full control of your AI-powered headless CMS and digital content workflows through natural conversation.

LlamaIndex agents combine Cosmic tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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

Object Management — List, retrieve, and create CMS objects across your buckets, allowing you to drop formatted JSON payloads feeding strictly verified metadata trees
Content Mutation — Safely update existing objects by patching title and metadata blocks, substituting draft values natively through the REST API
Schema Auditing — Enumerate active object types and retrieve structural extraction of properties to verify exactly what fields and metadata the schema requires
Media Oversight — Inspect deep internal arrays of uploaded media, track imgix endpoints, and resolve explicit file metadata for seamless asset management
Bucket Cleanup — Irreversibly vaporize explicit app nodes and wipe media assets to manage storage quotas and clear up internal database allocations
Environment Navigation — Identify bounded routing spaces inside your headless environments and switch between different content models (type slugs) easily

The Cosmic MCP Server exposes 10 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 Cosmic to LlamaIndex via MCP

Follow these steps to integrate the Cosmic MCP Server with LlamaIndex.

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

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

Explore tools

The agent discovers 10 tools from Cosmic

Why Use LlamaIndex with the Cosmic MCP Server

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

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

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

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

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

Cosmic + LlamaIndex Use Cases

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

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

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

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

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

Cosmic MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Cosmic to LlamaIndex via MCP:

create_cms_object

Provision a highly-available JSON Payload generating new Cosmic Drafts

get_media_asset

Retrieve the exact structural matching verifying explicit Media IDs

get_schema_details

Perform structural extraction of properties driving active Fields

get_single_object

Retrieve explicit Cloud logging tracing explicit Payload IDs limitlessly

list_bucket_objects

Identify bounded routing spaces inside the Headless Cosmic CMS Environments

list_schema_types

Enumerate explicitly attached structured rules exporting active Types

list_uploaded_media

Inspect deep internal arrays mitigating specific Picture limits

patch_cms_object

Mutate global Web CRM boundaries substituting Draft values via ID

wipe_cms_object

Irreversibly vaporize explicit App nodes dropping live Document rows

wipe_media_asset

Dispatch an automated validation check routing explicit Disk removals

Example Prompts for Cosmic in LlamaIndex

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

"List all objects of type 'posts' in my Cosmic bucket"

"Create a new 'event' object: Title 'Developer Meetup', Date '2024-05-15'"

"Show me the details for object type 'products'"

Troubleshooting Cosmic MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Cosmic + LlamaIndex FAQ

Common questions about integrating Cosmic MCP Server with LlamaIndex.

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.

Can I combine MCP tools with vector stores?

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