ai-trading-journal

MCP server · GitHub · ★ 2 · graded 2026-10-29Source linked

Free, open-source trading journal for MetaTrader 5 (MT5): auto-syncs every trade, P&L calendar, trade journal with screenshots, per-instrument analytics, behavioural red flags and an AI trading coach (Claude via MCP). Runs locally; your data stays private.

No outside reports on file

ai-trading-journal is distributed via GitHub (gillani-hello/ai-trading-journal); review its source code, dependencies, and requested permissions before use.

Based on public adoption and transparency signals as of Oct 29, 2026. Our opinion, not a code audit or security guarantee.

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What it can access

Local filesNo local folder access notedLOW
Command executionNo shell command runner notedLOW
Network reachLocal or standard API callsLOW
CredentialsNo API token requiredLOW
Package sourceGitHub (gillani-hello/ai-trading-journal)PUBLIC

Inferred from this listing’s public package details and description. Check the project’s source before installing.

Install

No npm or PyPI package is listed. Install from source: github.com/gillani-hello/ai-trading-journal ↗

All setup options ↓

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About AI Trading Journal

AI Trading Journal is an MCP server focused on Data & databases and Finance & business: Free, open-source trading journal for MetaTrader 5 (MT5): auto-syncs every trade, P&L calendar, trade journal with screenshots, per-instrument analytics, behavioural red flags and an AI trading coach (Claude via MCP). Runs locally; your data stays private.

It is hosted on GitHub at gillani-hello/ai-trading-journal (2 GitHub stars). Based on its public metadata, it operates with standard local or API scope without broad shell execution flags noted.

Setup

These use the package this listing points to. Check the project’s own instructions before running anything.

No npm or PyPI package is listed for this MCP server. Source code and setup steps: github.com/gillani-hello/ai-trading-journal.

Why this grade

DD — High risk signals

Signal-based grade (1/7 points): public source code. This reflects adoption and transparency, not a code review.

Popularity and upkeep

8/100

GitHub stars: 2
Listing last refreshed: 2026-10-29

These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.

Security reports

No reports found for this package in our research (last checked 2026-10-29).

Check a specific version →

Risks to watch for

Dependency & version pinning: Distributed via GitHub (gillani-hello/ai-trading-journal). Pin an exact release version or commit SHA rather than floating tags so upstream updates are reviewed first.

How to lower the risk

Least-privilege permissions

Give it access only to the specific folders, accounts or projects it needs, never your whole drive or admin account.
Use a separate, limited API key or login just for this tool so you can switch it off without affecting anything else.

Network isolation

Run it on a work computer or sandbox account, not one holding personal or company-sensitive data.
If your IT team can, limit which websites and services it is allowed to contact.

Monitoring

Check its activity history or logs weekly at first, and look at what it changed or sent.
Turn on alerts for new logins or unusual usage on any account it connects to.

Red flags to watch for

It asks for more access than its job requires, or prompts you to paste passwords.
It suddenly updates with new owners, or starts contacting unfamiliar websites.

Questions

How do I install AI Trading Journal?

AI Trading Journal does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/gillani-hello/ai-trading-journal.

Are there security reports about AI Trading Journal?

No reports found for this package in our research (last checked 2026-10-29). AI Trading Journal currently holds Grade D (High risk signals) based on public adoption and transparency signals. Review the permissions and source repository before granting access to local files, shell commands, or API keys.

Is AI Trading Journal actively maintained?

AI Trading Journal has 2 GitHub stars. Our directory data was last refreshed on 2026-10-29. Check recent commit activity, release tags, and open issues at github.com/gillani-hello/ai-trading-journal before pinning it in production.

What are alternatives to AI Trading Journal?

You can compare AI Trading Journal side by side with other Calendar MCP servers in the Related tools section on this page, or use the Compare tool on AgentArmorHQ.

Maintain or use AI Trading Journal? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.

AgentArmorHQ Risk Grade D for AI Trading Journal

GitHub README Markdown:

markdown

[![AgentArmorHQ Risk Grade for AI Trading Journal](https://agentarmorhq.com/api/badge/gillani-hello-ai-trading-journal)](https://agentarmorhq.com/skills/gillani-hello-ai-trading-journal)

HTML embed:

html

<a href="https://agentarmorhq.com/skills/gillani-hello-ai-trading-journal"><img src="https://agentarmorhq.com/api/badge/gillani-hello-ai-trading-journal" alt="AgentArmorHQ Risk Grade for AI Trading Journal" height="20" /></a>

Terminal check:

terminal

curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "gillani-hello-ai-trading-journal"

Share with your security lead

Need sign-off to use ai-trading-journal? Copy this note for Slack, a ticket or a pull request.

### AgentArmorHQ Security Review Memo: ai-trading-journal
- **Listing URL:** https://agentarmorhq.com/skills/gillani-hello-ai-trading-journal
- **Type:** App connector
- **Risk Grade:** Grade D (High risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 2 GitHub stars

#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** No shell command runner noted
- **Network reach:** Local or standard API calls
- **Credentials:** No API token required
- **Package source:** GitHub (gillani-hello/ai-trading-journal)

#### Recommended Hardened Setup
- **Source Repo:** https://github.com/gillani-hello/ai-trading-journal
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.

_Based on public adoption and transparency signals as of Oct 29, 2026. Our opinion, not a code audit or security guarantee._

Key facts

Type: App connector
Publisher: gillani-hello
Source code: github.com/gillani-hello/ai-trading-journal
Est. context load: ~900 tokens / turn (~5 tool schemas, 0.45% of 200k context)
Popularity: 2 GitHub stars
Last updated: 2026-10-29
Last graded: 2026-10-29

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