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Concord MCP. Manage CI/CD status and logs from chat.

Claude Claude
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Concord (Workflow Orchestration) MCP on Cursor AI Code Editor MCP Client Concord (Workflow Orchestration) MCP on Claude Desktop App MCP Integration Concord (Workflow Orchestration) MCP on OpenAI Agents SDK MCP Compatible Concord (Workflow Orchestration) MCP on Visual Studio Code MCP Extension Client Concord (Workflow Orchestration) MCP on GitHub Copilot AI Agent MCP Integration Concord (Workflow Orchestration) MCP on Google Gemini AI MCP Integration Concord (Workflow Orchestration) MCP on Lovable AI Development MCP Client Concord (Workflow Orchestration) MCP on Mistral AI Agents MCP Compatible Concord (Workflow Orchestration) MCP on Amazon AWS Bedrock MCP Support

Just plug in your AI agents and start using Vinkius.

Concord MCP Server lets your AI agent manage CI/CD pipelines and workflows directly from chat. You can list organizations, check running processes, retrieve detailed project information, or pull execution logs for debugging without leaving your terminal.

What your AI agents can do

Get process

Pulls detailed status information for a specific workflow execution instance.

Get process log

Fetches the complete, raw log output from a named process execution.

Get project details

Retrieves comprehensive information about a specific project definition in Concord.

+ 7 more capabilities included
List all organizations

The agent retrieves a full list of every organization configured within your Concord instance.

View running processes

It quickly lists every process currently executing across all projects, providing immediate status checks.

Get specific process details

The agent pulls detailed metadata for a single execution instance (e.g., start time, duration, status).

Retrieve execution logs

It fetches the full log output for any given process ID, essential for diagnosing failures.

Manage projects and repositories

You can list all available projects within an organization or view which code repositories are attached to a project.

Start or stop processes

The agent initiates new workflow runs (start_process) or manually terminates stuck pipelines (terminate_process).

Supported MCP Clients

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients
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AI Agent

Concord (Workflow Orchestration) MCP Server: 10 Tools for DevOps

These tools let your agent manage every aspect of CI/CD: listing organizations, checking running processes, retrieving deep logs, and starting or stopping pipelines.

get019d7579

get process

Pulls detailed status information for a specific workflow execution instance.

get019d7579

get process log

Fetches the complete, raw log output from a named process execution.

get019d7579

get project details

Retrieves comprehensive information about a specific project definition in Concord.

list019d7579

list organizations

Returns a list of every top-level organizational container configured in the instance.

list019d7579

list processes

Generates a list of completed or historical workflow process executions across all scopes.

list019d7579

list projects

Lists all individual projects belonging to a specified organization.

list019d7579

list repositories

Retrieves the list of source code repositories connected and configured for a project.

list019d7579

list running processes

Provides an immediate, real-time list of all processes currently in an active state.

start019d7579

start process

Triggers a brand new workflow run for a specified project or template.

terminate019d7579

terminate process

Stops any running process execution immediately, useful for rollback or cleanup.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

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Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

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Start with Concord (Workflow Orchestration), then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 4,700+ others, all in one place
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  • Works with Claude, ChatGPT, Cursor, and more
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What you can do with this MCP connector

Look, you're tired of jumping between a dozen dashboards just to see if your code deployed right. Concord lets your AI agent run complex CI/CD pipelines and workflow orchestrations straight from chat. You don't gotta leave your terminal; it handles the whole mess so you can keep talking to your agent while things happen in the background.

It’s all about control. Your agent talks directly to Concord, treating massive pipeline operations like simple conversation turns. When you need to get started, you first list everything up. You can use list_organizations to pull a full roster of every top-level organizational container set up in your instance. Then, if you know which department it is, you run list_projects to see all the individual projects hanging off that organization.

From there, you grab list_repositories, and the agent pulls a list of every source code repo connected and ready for work on that project.

Once everything's set up, keeping an eye on what’s running is simple. You can check if anything’s live right now by using list_running_processes; it gives you an immediate status report on every process currently executing across all projects. If you need details on a specific job—like when it started or how long it's been chewing up CPU cycles—you run get_process_details to pull that detailed metadata for a single execution instance.

When the smoke clears, and you’re done monitoring live runs, you can check out historical data. You use list_processes to generate a list of every completed or failed workflow process execution across all scopes. If you find an ID that looks sketchy, you can run get_process_log, which fetches the complete, raw log output for any given process ID; this is your go-to tool for diagnosing failures because it gives you everything.

And when things get sticky, you take action. You trigger a brand new workflow whenever necessary by running start_process for a specified project or template. If that deployment goes sideways and you need to kill it—maybe it's eating bandwidth or doing something wrong—you use terminate_process to stop the running process execution immediately.

This is crucial for rollbacks or just general cleanup.

These tools let your agent manage everything programmatically. You initiate new runs, check status, pull logs, and kill processes all from chat. It means you audit project structures, monitor deployments, and resolve incidents without ever having to switch context or leave the conversation flow.

How Concord MCP Works

  1. 1 Add the Concord integration to your AI toolset.
  2. 2 Provide your specific Concord instance URL and API Token in the connection settings.
  3. 3 Ask your agent a question like, 'List all projects for the Engineering organization,' or 'Pull logs for process X.'

The bottom line is: you talk to your agent, and it uses these tools to execute complex CI/CD commands against your Concord server.

Who Is Concord MCP For?

This is for the DevOps engineer who gets sick of context switching. If your job requires checking pipeline statuses, auditing project structures across multiple departments, or pulling failure logs at 2 AM without opening a dozen dashboards, this is for you. It gives you hands-free visibility into your deployment pipelines.

DevOps Engineer

Uses list_running_processes and get_process_log to quickly identify failing deployments during an incident response without leaving the chat window.

Platform Architect

Runs list_organizations and list_projects to audit the full scope of projects and organizational boundaries within the Concord setup.

Release Manager

Uses terminate_process and start_process to manually halt stuck deployments or trigger emergency, validated rollouts on demand.

What Changes When You Connect

  • Stop switching dashboards. Instead of navigating to the Concord UI, your agent uses list_running_processes or get_process_details to give you real-time deployment status directly in chat.
  • Instant debugging: When a pipeline fails, don't copy logs manually. Just ask for the failure details; the agent calls get_process_log and gives you the raw output instantly.
  • Full audit control: Need to see which teams exist? Use list_organizations. Want to know what code is attached to a project? Run list_repositories—it's all available through conversation.
  • Hands-free incident response: If something gets stuck, you don't need to find the process ID manually. You can ask your agent to run terminate_process and kill the runaway job immediately.
  • Streamlined deployment flow: Skip manual button clicks. To trigger a test run, just say 'start deploy'—the agent runs start_process for you.

Real-World Use Cases

01

Diagnosing a failed staging build

A release manager notices the staging deployment failed. They ask their agent: 'What went wrong with the last deploy?' The agent runs get_process to find the failure ID, then uses that ID in get_process_log. Within seconds, they see an environment variable error and know exactly what needs fixing.

02

Auditing project scope creep

A platform architect suspects a department is running unauthorized pipelines. They ask the agent to 'List all organizations' (list_organizations) and then drill down using list_projects to check which departments have been granted access to sensitive repositories.

03

Stopping a runaway process

A developer triggers a test run that loops infinitely. They immediately prompt the agent: 'Kill process XYZ.' The agent executes terminate_process, stopping the bleeding before it consumes all compute resources.

04

Checking recent deployment history

The team needs to know which services were deployed in the last 24 hours. They ask the agent to 'Show me completed processes' (list_processes), getting a summary list, and then use get_process_details on any suspect runs.

The Tradeoffs

Guessing process IDs

Typing 'Get logs for inst-58291' when you don't know if that ID is active or valid. You waste time with a 404 error.

First, run list_running_processes to confirm the live ID. Then use get_process_details on the correct ID before calling get_process_log. Always scope your request.

Listing everything at once

Asking 'Tell me about all projects.' The agent responds with 5,000 lines of unformatted JSON data. It's unusable.

Be specific: 'List the projects under the Data Platform organization' (list_projects). Focus your scope to get actionable answers.

Attempting manual fixes

Trying to fix a deployment failure by manually restarting everything. This causes more problems than it solves.

Use get_process_log first to find the root cause of the failure, then use start_process only after confirming the code fix.

When It Fits, When It Doesn't

Use this server if your primary need is deep visibility and control over existing CI/CD pipelines running in Concord. You must be managing processes that involve multiple stages (e.g., build -> test -> deploy) because it offers tools to track every step, from list_organizations down to the raw logs via get_process_log. Don't use this if you only need a simple data lookup—if you just need to know what repositories exist for a project, calling list_repositories is sufficient. If your goal is cross-platform monitoring (e.g., checking GitHub and Concord), look at general observability platforms instead.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Concord. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

get_process get_process_log get_project_details list_organizations list_processes list_projects list_repositories list_running_processes start_process terminate_process

Debugging deployments shouldn't mean switching between 5 different tabs.

Right now, if a deployment fails, you open the dashboard. You find the process ID. Then you click 'Logs,' which takes you to a new page. You scroll through thousands of lines of text while trying to correlate the error message with the project name—a tedious copy-paste job.

With Concord MCP Server, your agent handles all that navigation for you. Tell it what failed, and it pulls the process details and logs in one shot. The answer appears right where you are chatting.

Concord (Workflow Orchestration) MCP Server: Control deployments from chat.

You no longer need to manually run `list_processes` just to see what ran last week. The agent summarizes that history, letting you check project status and even find the specific repository attached to the faulty build—all without leaving your terminal session.

It's about keeping your focus on code, not on UI navigation. You manage complex workflows like a conversation, making incident response faster and less prone to human error.

Common Questions About Concord MCP

How do I check if processes are currently running using list_running_processes? +

Run list_running_processes to get an immediate, clean list of every process that is active right now. This saves you from having to manually filter through historical logs.

Can I use Concord MCP Server to see which projects are under a specific organization? +

Yes, run list_projects. You first need to know the organization name (using list_organizations), and then you scope your request down using this tool.

What's the best way to debug an error with get_process_log? +

First, use get_process to confirm the process ID is correct and that the status shows 'Failed.' Then pass that confirmed ID into get_process_log for the full context.

How do I trigger a new deployment run using Concord MCP Server? +

Use start_process. You'll need to specify which project you want to deploy and what version, and the agent executes the command on your behalf.

After running `list_organizations`, how do I get detailed info about a specific project using `get_project_details`? +

You pass the required Organization ID and Project Name to get_project_details. This call returns critical metadata, including the associated repository IDs and the configured CI/CD pipeline version. It lets your agent verify the scope before running any processes.

If I run into an issue and need to stop it immediately, how does `terminate_process` work? +

The terminate_process tool sends a signal to halt the execution instance. It stops resource consumption right away but doesn't clean up artifacts or delete logs; you still need to check those records manually for post-mortem analysis.

What information does `get_process` return about an execution that has already completed? +

It returns specific metrics like the start time, end time, duration (in seconds), and final exit code. This lets your agent calculate elapsed time or determine if a process failed due to a known system error.

How do I list all configured source code locations for a project using `list_repositories`? +

list_repositories retrieves the full manifest of connected git sources. It provides the remote URL, branch name, and required credentials needed to pull the necessary code base before any deployment can start.

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.

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Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

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