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Cincopa MCP Server for LangChain 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools Framework

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

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({
        "cincopa": {
            "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 Cincopa, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Cincopa
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 Cincopa MCP Server

Connect your Cincopa account to any AI agent and take full control of your video and media management through natural conversation. Streamline how you host and distribute content.

LangChain's ecosystem of 500+ components combines seamlessly with Cincopa through native MCP adapters. Connect 8 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

  • Gallery Oversight — List and retrieve details for all media galleries and folders natively
  • Asset Intelligence — Access detailed metadata for videos, images, and audio files flawlessly
  • Upload Automation — Retrieve temporary upload URLs to push new content to your platform securely
  • Template Management — List available gallery templates to ensure consistent branding flawlessly
  • Content Control — Create new galleries and delete unwanted assets directly from your chat interface flawlessly
  • Engagement Monitoring — Monitor media performance and usage metadata directly within your workspace

The Cincopa MCP Server exposes 8 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 Cincopa to LangChain via MCP

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

01

Install dependencies

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

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 8 tools from Cincopa via MCP

Why Use LangChain with the Cincopa MCP Server

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

01

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

02

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

03

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

04

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

Cincopa + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Cincopa MCP Tools for LangChain (8)

These 8 tools become available when you connect Cincopa to LangChain via MCP:

01

create_new_gallery

Create a new media gallery using a template

02

delete_media_asset

Permanently delete a media asset from the account

03

get_asset_metadata

Get detailed metadata for a specific media asset

04

get_gallery_details

Get detailed information for a specific gallery

05

get_media_upload_url

Retrieve a temporary URL for uploading new media files

06

list_cincopa_assets

List all media assets (videos, images, audio)

07

list_cincopa_galleries

List all media galleries in the account

08

list_cincopa_templates

List available gallery templates

Example Prompts for Cincopa in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Cincopa immediately.

01

"List all my video galleries in Cincopa."

02

"Show me the metadata for asset RID 'AAAAtAURG'."

03

"Create a new gallery called 'Customer Interviews' using the 'Video Portal' template."

Troubleshooting Cincopa MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Cincopa + LangChain FAQ

Common questions about integrating Cincopa MCP Server with LangChain.

01

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.
02

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.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Cincopa to LangChain

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.