MCP.Market

Agent Trading Journal MCP server

by smizxe·io.github.smizxe/agent-trading-journal·v0.1.0

AI trading journal: your agent logs trades from chart screenshots and checks your own rules.

A92/100grade A
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Safety scan
A92/100

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If you have run it, two minutes of your experience saves the next person an afternoon.

Agent Trading Journal tools

No tool declarations could be read from the package source. They show once the server is installed.

Public scan report

scanner v0.1.9 · 2026-09-24 · same rubric, same numbers if you re-run it

no findings
  • Code scan15 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 0 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 92/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Agent Trading Journal compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
92/100
higher than 90% of 4,460 AI and agents servers

Install Agent Trading Journal in Claude Code, Cursor or VS Code

Runs npx -y agent-trading-journal on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add agent-trading-journal -- npx -y agent-trading-journal
Add to Cursor

What the publisher says

From the Agent Trading Journal repository's README, as published. We do not edit it. Read it on GitHub

Agent Trading Journal: an AI trading journal (MCP server) for Claude Code and Codex

Works with: Claude Code · Codex CLI · Claude Desktop · Cursor · Windsurf · any MCP client — Markets: forex, futures, stocks, crypto — Imports: MetaTrader 4/5, TradingView, IBKR, NinjaTrader, Tradovate and more

A trading journal your AI agent writes for you. Paste a chart screenshot into Claude Code, Codex or any MCP client. The agent reads it, fills in your strategy's fields, checks the trade against your rules, logs it, and attaches the image. A local dashboard shows what's working.

No forms, no LLM API key, no account. Everything stays on your machine in one SQLite file.

Dashboard with generated demo data (npx agent-trading-journal demo). Not a real account.

Why this exists

Most "AI trading journals" are a web form plus a chatbot that reads your numbers afterwards. Two problems follow:

  1. Logging is the bottleneck. People stop journaling because entering trades by hand is tedious.
  2. Generic fields measure nothing specific. "Setup: A/B/C" doesn't tell you whether your rules work.

Here the agent is the data-entry clerk, and the journal is shaped by an onboarding interview about how you trade:

Quick start

1. Connect it to your agent. Requires Node.js 22+.

Claude Code:

claude mcp add journal -- npx -y agent-trading-journal

Codex CLI (~/.codex/config.toml):

[mcp_servers.journal]
command = "npx"
args = ["-y", "agent-trading-journal"]

Claude Desktop, Cursor, or any other MCP client: add a stdio server with command npx and args ["-y", "agent-trading-journal"]. Run npx agent-trading-journal setup to print all the snippets.

2. Tell your agent: "Set up my trading journal."

It interviews you in your language: markets, risk rules, how you find bias, setups, entries, stops and targets, and when you don't trade. From your answers it proposes fields (what to measure on every trade) and rules (your entry checklist). You confirm, and it saves them. See docs/ONBOARDING.md for the full script.

3. Trade or backtest as usual. Paste screenshots and say "log this". Ask for "weekly review" or "pre-session check". Say "open the dashboard" to see it at .

Just looking? npx agent-trading-journal demo fills a separate demo journal and opens the dashboard.

What the agent can do (MCP tools)

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Agent Trading Journal: common questions

Is Agent Trading Journal MCP server safe?
Yes, by our scan: it is graded A (92/100). Read the Agent Trading Journal safety report
How do I install Agent Trading Journal?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Agent Trading Journal need an API key?
No secret keys are declared. It reads 1 setting from the environment.
Is Agent Trading Journal maintained?
The last commit was 41 days ago (2026-09-24). The latest release is v0.1.0.
What can I use instead of Agent Trading Journal?
Servers from other publishers that do the same job: three.ws Portfolio MCP server, Chart MCP server and Agent-Native Analytics MCP server.

Alternatives to Agent Trading Journal

Same job from other publishers: the closest match first, then the best rated.

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  • Superlog
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  • Roast My Design System
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