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GitScrum ClientFlow MCP Server for Mastra AI 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect GitScrum ClientFlow through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

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

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "gitscrum-clientflow": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "GitScrum ClientFlow Agent",
    instructions:
      "You help users interact with GitScrum ClientFlow " +
      "using 12 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with GitScrum ClientFlow?"
  );
  console.log(result.text);
}

main();
GitScrum ClientFlow
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 GitScrum ClientFlow MCP Server

What you can do

  • Client management — list, inspect, and create client records with contact details and project history
  • Invoice generation — create and review invoices linked to client accounts with line items and totals
  • Proposal drafting — browse existing proposals and their approval statuses for any client
  • Budget monitoring — check project budget consumption and remaining allocations in real-time
  • Dashboard insights — access the ClientFlow dashboard for a consolidated view of revenue and client activity
  • Time billing — list and log time entries on tasks for accurate client billing

Mastra's agent abstraction provides a clean separation between LLM logic and GitScrum ClientFlow tool infrastructure. Connect 12 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

The GitScrum ClientFlow MCP Server exposes 12 tools through the Vinkius. Connect it to Mastra AI 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 GitScrum ClientFlow to Mastra AI via MCP

Follow these steps to integrate the GitScrum ClientFlow MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 12 tools from GitScrum ClientFlow via MCP

Why Use Mastra AI with the GitScrum ClientFlow MCP Server

Mastra AI provides unique advantages when paired with GitScrum ClientFlow through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add GitScrum ClientFlow without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every GitScrum ClientFlow tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

GitScrum ClientFlow + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the GitScrum ClientFlow MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query GitScrum ClientFlow, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed GitScrum ClientFlow as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query GitScrum ClientFlow on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using GitScrum ClientFlow tools alongside other MCP servers

GitScrum ClientFlow MCP Tools for Mastra AI (12)

These 12 tools become available when you connect GitScrum ClientFlow to Mastra AI via MCP:

01

clientflow_dashboard

Get ClientFlow dashboard overview

02

create_client

Create a new client

03

create_invoice

Pass additional fields as JSON in the body parameter. Create an invoice for a client

04

get_client

Get client details

05

get_invoice

Get invoice details

06

get_proposal

Get proposal details

07

list_clients

List all clients

08

list_invoices

List all invoices

09

list_proposals

List all proposals

10

list_time_entries

List time tracking entries

11

log_time

Log time on a task

12

project_budget

Get project budget

Example Prompts for GitScrum ClientFlow in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with GitScrum ClientFlow immediately.

01

"List all our clients on GitScrum."

02

"Show me the ClientFlow dashboard overview."

03

"Create a new client 'Acme Corp' with email billing@acme.com."

Troubleshooting GitScrum ClientFlow MCP Server with Mastra AI

Common issues when connecting GitScrum ClientFlow to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

GitScrum ClientFlow + Mastra AI FAQ

Common questions about integrating GitScrum ClientFlow MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect GitScrum ClientFlow to Mastra AI

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.