How to Use the GitScrum MCP in Mastra AI

Q: Can I use Mastra AI to chain GitScrum actions?

Absolutely. You can sequence findproject followed by listtasks in a single workflow run, allowing for complex multi-step automation.

Build resilient GitScrum automation workflows using the Mastra AI agent framework.

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…and any MCP-compatible client

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Connect GitScrum MCP to Mastra AI

Create your Vinkius account to connect GitScrum 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 GitScrum with Mastra AI

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Branching logic with GitScrum

Create agents that evaluate `workspace_stats` and decide whether to spin up new tasks. If a project hits a milestone, your Mastra workflow can trigger `create_project` automatically. It handles the logic flow within your agent nodes. You define the conditions, and the toolset executes the board changes based on your business rules.

Automated project recovery

Configure your agents to retry failed operations using exponential backoff. If `create_workspace` hits a temporary API limit, the framework handles the wait and re-run for you. This keeps your operations running without manual intervention. You gain reliability for long-running workflows that manage complex project structures.

Granular control over GitScrum tools

Use `requireToolApproval` to keep a human in the loop for sensitive actions like deleting or moving tasks. You decide which operations require a sign-off before the agent proceeds. It balances speed with oversight. You maintain control over your GitScrum environment while letting your agents handle the heavy lifting of `list_workflows` and `list_tasks`.

Setup guide

Set up GitScrum 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 GitScrum 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: "gitscrum-mcp-client",
  servers: {
    "gitscrum-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Common questions about GitScrum MCP in Mastra AI

Add the server to your agent's configuration object. The framework automatically discovers the tools, allowing you to include them in your agent's capability set.

Absolutely. You can sequence `find_project` followed by `list_tasks` in a single workflow run, allowing for complex multi-step automation.

The server returns clear error codes. You can catch these in your workflow and trigger secondary paths, such as notifying an admin or logging a failure.

Your project data remains isolated. We use ephemeral sessions that clear after execution, ensuring your task details are never stored on Vinkius.

Yes, you can filter which tools your agents can access. This restricts your agents to only the operations you define, like read-only access to `list_projects`.

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