How to Use the Ghostfolio (Investment Tracker) MCP in Google ADK

Q: How do I configure Ghostfolio (Investment Tracker) with the Google ADK?

Run pip install google-adk. Create an McpToolset using your server URL and pass it to the tools array when initializing your LlmAgent.

Q: How do I prevent Gemini from deleting Ghostfolio (Investment Tracker) records?

Use the optional toolnames filter when setting up the toolset. Simply exclude deleteactivity from the allowed list, and the model will never see that capability.

Feed massive Ghostfolio transaction histories into Gemini using the Google ADK.

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Connect Ghostfolio (Investment Tracker) MCP to Google ADK

Create your Vinkius account to connect Ghostfolio (Investment Tracker) to Google ADK 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 Ghostfolio (Investment Tracker) with Google ADK

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Perplexity

Process years of trades with Google ADK

Gemini's massive context window changes how you analyze wealth. Your agent can pull thousands of records using `list_activities` and dump the entire raw JSON directly into the prompt. You avoid building complex chunking logic. The model reads your complete financial history at once and cross-references it against market movements to spot long-term patterns.

Filtered tool access for specific tasks

Enterprise deployments require strict scope. When you initialize the `McpToolset`, use the `tool_names` parameter to restrict your agent to read-only operations like `get_portfolio_holdings` and `get_market_data_price`. This guarantees your BigQuery-connected agents cannot accidentally trigger `delete_activity` or `create_account`. You define exactly which financial levers the model can pull.

Sync Ghostfolio data with GCP via the MCP Server

Connect your self-hosted investment tracker directly to your Google Cloud infrastructure. The agent calls `get_portfolio_summary` and pipes the resulting performance metrics straight into your enterprise data pipelines. You manage the connection with `StreamableHttpServerParameters`. It takes one URL to give your Gemini models full visibility into your private wealth data.

Setup guide

Set up Ghostfolio (Investment Tracker) MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Ghostfolio (Investment Tracker) tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Ghostfolio (Investment Tracker)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Ghostfolio (Investment Tracker) tools via MCP.",
    tools=mcp_tools,
)

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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 Ghostfolio. 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 Ghostfolio (Investment Tracker) MCP in Google ADK

Run `pip install google-adk`. Create an `McpToolset` using your server URL and pass it to the `tools` array when initializing your `LlmAgent`.

Yes. The agent will format your natural language input and execute the `create_activity` tool. It handles the JSON payload construction automatically.

Use the optional `tool_names` filter when setting up the toolset. Simply exclude `delete_activity` from the allowed list, and the model will never see that capability.

The Google ADK supports both Stdio and HTTP transports for MCP connections. For Vinkius-hosted endpoints, you will use the HTTP transport with your provided URL.

Gemini processes your ticker symbols, share counts, and purchase prices in memory to generate responses. The MCP connection operates on a zero-trust model, ensuring Google Cloud only sees the specific portfolio holdings the agent requests.

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