How do I create a Concord API token?

You can create an API key via the Concord UI or by calling the `POST /api/v1/apikey` endpoint with your username and password.

What is an instance ID in Concord?

An instance ID is a unique identifier assigned to a specific execution of a process or flow. You use it to retrieve logs, check status, or terminate the execution.

Can I stop a running process?

Yes. Use the 'terminate_process' tool with the instance ID to stop a running execution at any time.

Concord (Workflow Orchestration) MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Concord (Workflow Orchestration)
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 Concord (Workflow Orchestration) 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({
        "concord-workflow-orchestration": {
            "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 Concord (Workflow Orchestration), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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 Concord (Workflow Orchestration) MCP Server

Connect your AI assistant to Concord, the open-source workflow orchestration and CI/CD platform. Your agent can manage organizations, projects, and execution processes programmatically — all triggered from natural language commands.

LangChain's ecosystem of 500+ components combines seamlessly with Concord (Workflow Orchestration) 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

Process Management — List, inspect, and terminate running workflow executions across your Concord projects.
Log Retrieval — Pull execution logs for any process instance to quickly diagnose failures or audit pipeline runs.
Organization & Project Scoping — Browse all organizations and projects configured in your Concord server.

The Concord (Workflow Orchestration) 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 Concord (Workflow Orchestration) to LangChain via MCP

Follow these steps to integrate the Concord (Workflow Orchestration) 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 Concord (Workflow Orchestration) via MCP

Why Use LangChain with the Concord (Workflow Orchestration) MCP Server

LangChain provides unique advantages when paired with Concord (Workflow Orchestration) through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Concord (Workflow Orchestration) 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 Concord (Workflow Orchestration) queries for multi-turn workflows

Concord (Workflow Orchestration) + LangChain Use Cases

Practical scenarios where LangChain combined with the Concord (Workflow Orchestration) MCP Server delivers measurable value.

RAG with live data: combine Concord (Workflow Orchestration) tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Concord (Workflow Orchestration), synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Concord (Workflow Orchestration) tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Concord (Workflow Orchestration) tool call, measure latency, and optimize your agent's performance

Concord (Workflow Orchestration) MCP Tools for LangChain (10)

These 10 tools become available when you connect Concord (Workflow Orchestration) to LangChain via MCP:

get_process

Retrieve detailed information about a specific process execution

get_process_log

Retrieve the execution logs for a specific process

get_project_details

Retrieve detailed information about a specific project

list_organizations

Retrieve a list of all organizations in Concord

list_processes

Retrieve a list of process executions in Concord

list_projects

Retrieve a list of projects within an organization

list_repositories

Retrieve a list of repositories configured for a project

list_running_processes

Quickly list all currently running processes

start_process

Trigger a new process execution in Concord

terminate_process

Stop a running process execution

Example Prompts for Concord (Workflow Orchestration) in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Concord (Workflow Orchestration) immediately.

"Show me the last 10 finished processes in Concord."

"List all organizations available in my Concord instance."

"Pull the logs for execution instance 'inst-58291'."

Troubleshooting Concord (Workflow Orchestration) MCP Server with LangChain

Common issues when connecting Concord (Workflow Orchestration) to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Concord (Workflow Orchestration) + LangChain FAQ

Common questions about integrating Concord (Workflow Orchestration) 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.