How to Use the CircleCI MCP in Mastra AI

Q: How do I add the CircleCI MCP Server to my Mastra AI agent?

Install @mastra/mcp and instantiate a new MCPClient. Pass your Vinkius HTTP URL into the servers object. Then call listTools() and spread the results into your agent's tool array.

Q: Does Mastra AI support human approval for CircleCI deployments?

You have full control over execution. Enable the requireToolApproval flag for specific tools like triggerccipipeline. The workflow will pause and wait for manual confirmation before starting the build.

Automate your CI/CD incident response. Mastra AI connects to CircleCI to retry failed builds, branch logic, and trigger pipelines automatically.

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Connect CircleCI MCP to Mastra AI

Create your Vinkius account to connect CircleCI to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup CircleCI with Mastra AI

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Fix failed CircleCI jobs automatically

Stop waking up for transient test failures. Mastra AI lets you build workflows that check build status and react intelligently. When a deployment crashes, your agent uses `get_workflow_details` to analyze the error. If it detects a known timeout issue, the workflow branches and restarts the process. This MCP Server turns passive monitoring into active remediation. You can configure exponential backoff for retries using Mastra's built-in engine. The agent simply calls `trigger_cci_pipeline` again if the first attempt fails, keeping your delivery pipeline moving without human intervention.

Chain Mastra AI workflows for complex CI

Deployments rarely involve just one step. You need a system that can track a release across multiple environments. By combining `list_cci_pipelines` with custom logic, your agent verifies that staging passed before touching production. Every step of the workflow maintains state. If the agent needs to verify environment variables before a run, it hits `list_cci_contexts` to confirm the right secrets exist. Mastra handles the transport layer automatically, switching between SSE and HTTP as needed to keep the connection stable.

Pause pipelines for manual sign-off

Some actions are too dangerous for full automation. You can require explicit approval before the agent executes destructive commands. When a workflow reaches a critical phase, it halts and waits for an admin to review the job data fetched by `get_job_details`. Connecting this MCP server takes one line of code. Just enable `requireToolApproval` in your Mastra client configuration. The agent will read `list_workflow_jobs` to present the current state, ask for permission, and only proceed when a human says yes.

Setup guide

Set up CircleCI MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All CircleCI tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "circleci-mcp-client",
  servers: {
    "circleci-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "CircleCI Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to CircleCI tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent CircleCI transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CircleCI. 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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Common questions about CircleCI MCP in Mastra AI

Install `@mastra/mcp` and instantiate a new `MCPClient`. Pass your Vinkius HTTP URL into the servers object. Then call `listTools()` and spread the results into your agent's tool array.

Yes, that is the core advantage of this framework. You can write a workflow that catches a failed status from `get_workflow_details` and automatically triggers a new run using exponential backoff.

You have full control over execution. Enable the `requireToolApproval` flag for specific tools like `trigger_cci_pipeline`. The workflow will pause and wait for manual confirmation before starting the build.

The client auto-detects the best method. Vinkius provides Streamable HTTP endpoints, which Mastra will identify and connect to without manual configuration.

Every request runs through a zero-trust V8 sandbox. Your organization's shared contexts, user profiles, and active job statuses are processed entirely in memory. The environment self-destructs the moment the workflow completes.

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