4,000+ servers built on vurb.ts
Vinkius

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

MCP Inspector GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect Ghostfolio (Investment Tracker) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this MCP Server for LangChain

The Ghostfolio (Investment Tracker) MCP Server for LangChain 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

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "ghostfolio-investment-tracker": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Ghostfolio (Investment Tracker), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(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.

LangChain's ecosystem of 500+ components combines seamlessly with Ghostfolio (Investment Tracker) through native MCP adapters. Connect 9 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain

When LangChain 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 LangChain via MCP

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

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 9 tools from Ghostfolio (Investment Tracker) via MCP

Why Use LangChain with the Ghostfolio (Investment Tracker) MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine Ghostfolio (Investment Tracker) MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Ghostfolio (Investment Tracker) queries for multi-turn workflows

Ghostfolio (Investment Tracker) + LangChain Use Cases

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

01

RAG with live data: combine Ghostfolio (Investment Tracker) tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Ghostfolio (Investment Tracker), synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Ghostfolio (Investment Tracker) tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Ghostfolio (Investment Tracker) tool call, measure latency, and optimize your agent's performance

Example Prompts for Ghostfolio (Investment Tracker) in LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Ghostfolio (Investment Tracker) + LangChain FAQ

Common questions about integrating Ghostfolio (Investment Tracker) MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Explore More MCP Servers

View all →