Daftra MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Daftra through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
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: {
"daftra": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Daftra Agent",
instructions:
"You help users interact with Daftra " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Daftra?"
);
console.log(result.text);
}
main();
* 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 Daftra MCP Server
Integrate Daftra, the comprehensive cloud-based ERP and accounting software, directly into your AI workflow. Manage your clients, monitor invoices and estimates, and track business expenses using natural language.
Mastra's agent abstraction provides a clean separation between LLM logic and Daftra tool infrastructure. Connect 10 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.
What you can do
- Client Management — List, search, and retrieve full profiles and interaction history for your clients.
- Billing Oversight — Monitor sales invoices and price estimates to stay on top of your revenue.
- Expense Tracking — Track and retrieve recorded business expenses across your organization.
- Inventory & Services — List products and services in your inventory directly via chat.
The Daftra MCP Server exposes 10 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 Daftra to Mastra AI via MCP
Follow these steps to integrate the Daftra MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Daftra via MCP
Why Use Mastra AI with the Daftra MCP Server
Mastra AI provides unique advantages when paired with Daftra through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Daftra without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Daftra tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Daftra + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Daftra MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Daftra, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Daftra as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Daftra on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Daftra tools alongside other MCP servers
Daftra MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Daftra to Mastra AI via MCP:
create_client
Resolves the newly generated client ID. Mutates the client and contact database state. Add a new client to the ERP database
get_client_details
Resolves detailed contact info and outstanding balances. Touches the granular CRM boundary. Get full profile and history for a specific client
get_invoice_details
Resolves line items, tax details, and payment history. Interacts with the detailed billing boundary. Get full details for a specific sales invoice
get_site_metadata
Resolves site identifiers and organizational settings. Interacts with the system configuration boundary. Retrieve general settings and metadata for your Daftra site
list_clients
Resolves client IDs, business names, and contact emails. Interacts with the client management boundary. List all clients in your Daftra account
list_estimates
Resolves estimate IDs, dates, and amounts. Interacts with the sales pipeline and quoting boundary. List all price estimates and quotes
list_expenses
Resolves expense IDs, categories, and amounts. Touches the accounting and expense tracking boundary. List all recorded business expenses
list_inventory_products
Resolves product IDs, names, and pricing. Interacts with the inventory management boundary. List all products and services in the inventory
list_invoices
Resolves invoice IDs, numbers, totals, and payment statuses. Touches the financial and sales boundary. List all sales invoices
search_clients_by_name
Resolves matching client profiles. Touches the search and discovery boundary. Search for a client by name keyword
Example Prompts for Daftra in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Daftra immediately.
"List all unpaid invoices from this month."
"Search for client 'John Smith' and show his contact details."
"List all business expenses recorded in the last 7 days."
Troubleshooting Daftra MCP Server with Mastra AI
Common issues when connecting Daftra to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpDaftra + Mastra AI FAQ
Common questions about integrating Daftra MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Daftra with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Daftra to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.