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 LangChain 10 tools — connect in under 2 minutes

Name: Cosmic
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Cosmic through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "cosmic": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Cosmic, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with Cosmic through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Cosmic via MCP

Why Use LangChain with the Cosmic MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Cosmic MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Cosmic queries for multi-turn workflows

Cosmic + LangChain Use Cases

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

RAG with live data: combine Cosmic tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Cosmic, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Cosmic tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Cosmic tool call, measure latency, and optimize your agent's performance

Cosmic MCP Tools for LangChain (10)

These 10 tools become available when you connect Cosmic to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Cosmic + LangChain FAQ

Common questions about integrating Cosmic MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.