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Ghostfolio (Investment Tracker) MCP Server for Mastra AIGive Mastra AI instant access to 9 tools to Create Account, Create Activity, Delete Activity, and more

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

Ask AI about this MCP Server for Mastra AI

The Ghostfolio (Investment Tracker) MCP Server for Mastra AI is a standout in the Productivity category — giving your AI agent 9 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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+ other MCP clients
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: {
      "ghostfolio-investment-tracker": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Ghostfolio (Investment Tracker) Agent",
    instructions:
      "You help users interact with Ghostfolio (Investment Tracker) " +
      "using 9 tools.",
    model: openai("gpt-4o"),
    tools,
  });

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

main();
Ghostfolio (Investment Tracker)
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 Ghostfolio (Investment Tracker) MCP Server

Connect your Ghostfolio instance to any AI agent to monitor your net worth and manage your investment portfolio through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Ghostfolio (Investment Tracker) tool infrastructure. Connect 9 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

  • Portfolio Performance — Get high-level summaries of your portfolio's performance and statistics.
  • Holdings & Valuations — Retrieve detailed lists of current holdings with real-time market valuations.
  • Activity Tracking — Record new transactions (BUY, SELL, DIVIDEND, INTEREST, FEE) or delete existing ones.
  • Account Management — List, create, and update your investment accounts directly.
  • Market Data — Fetch the latest market prices for any asset symbol supported by Ghostfolio.

The Ghostfolio (Investment Tracker) MCP Server exposes 9 tools through the Vinkius. Connect it to Mastra AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 9 Ghostfolio (Investment Tracker) tools available for Mastra AI

When Mastra AI connects to Ghostfolio (Investment Tracker) through Vinkius, your AI agent gets direct access to every tool listed below — spanning wealth-management, portfolio-tracking, investment-analysis, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create account on Ghostfolio (Investment Tracker)

Provide the account details as a JSON payload. Create a new investment account

create

Create activity on Ghostfolio (Investment Tracker)

Create a new investment activity

delete

Delete activity on Ghostfolio (Investment Tracker)

Delete a specific activity

get

Get market data price on Ghostfolio (Investment Tracker)

Get the latest price for a specific symbol

get

Get portfolio holdings on Ghostfolio (Investment Tracker)

Get current holdings and their valuations

get

Get portfolio summary on Ghostfolio (Investment Tracker)

Get a summary of the portfolio performance

list

List accounts on Ghostfolio (Investment Tracker)

List all investment accounts

list

List activities on Ghostfolio (Investment Tracker)

) from Ghostfolio. Retrieve a list of all activities

update

Update account on Ghostfolio (Investment Tracker)

Update account details

Connect Ghostfolio (Investment Tracker) to Mastra AI via MCP

Follow these steps to wire Ghostfolio (Investment Tracker) into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 9 tools from Ghostfolio (Investment Tracker) via MCP

Why Use Mastra AI with the Ghostfolio (Investment Tracker) MCP Server

Mastra AI provides unique advantages when paired with Ghostfolio (Investment Tracker) through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Ghostfolio (Investment Tracker) 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 Ghostfolio (Investment Tracker) 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

Ghostfolio (Investment Tracker) + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Ghostfolio (Investment Tracker) MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Ghostfolio (Investment Tracker), process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Ghostfolio (Investment Tracker) 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 Ghostfolio (Investment Tracker) on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Ghostfolio (Investment Tracker) tools alongside other MCP servers

Example Prompts for Ghostfolio (Investment Tracker) in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Ghostfolio (Investment Tracker) immediately.

01

"Give me a summary of my portfolio performance."

02

"List all my investment accounts in Ghostfolio."

03

"Record a purchase of 10 shares of AAPL at $185.50 in my Main Brokerage account."

Troubleshooting Ghostfolio (Investment Tracker) MCP Server with Mastra AI

Common issues when connecting Ghostfolio (Investment Tracker) to Mastra AI through Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Ghostfolio (Investment Tracker) + Mastra AI FAQ

Common questions about integrating Ghostfolio (Investment Tracker) 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.

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