What is the tradingcodex MCP server?

monarchjuno/tradingcodex — Turn Codex into your investment workflow team AgentRank score: 57.8/100.

Is the tradingcodex MCP server actively maintained?

The tradingcodex MCP server was last committed 3mo ago and has 2 contributors. Issue health: 100% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

tradingcodex MCP Server

Name: monarchjuno/tradingcodex
Rating: 3.3 (1 reviews)
Author: monarchjuno

monarchjuno/tradingcodex

Score: 57.8 Rank #7316 Agent Framework

[![AgentRank](https://agentrank-ai.com/api/v1/badge/monarchjuno--tradingcodex)](https://agentrank-ai.com/tool/monarchjuno--tradingcodex/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)

Are you the maintainer of monarchjuno/tradingcodex? Claim this listing →

Turn Codex into your investment workflow team

Add AgentRank to Claude Code Discover and compare tools like monarchjuno/tradingcodex — your AI finds the right one automatically

Get API Access →

claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

monarchjuno/tradingcodex is a Python tool licensed under Apache-2.0. Turn Codex into your investment workflow team Topics: agentic-workflow, ai-agents, codex, django, investment-research, mcp, portfolio-management, python, trading.

Ranked #7316 out of 24846 indexed tools.

Ecosystem

Python Apache-2.0 10 pypi/wk

agentic-workflowai-agentscodexdjangoinvestment-researchmcpportfolio-managementpythontrading

Score Breakdown

Stars 15% 373

373 stars → growing community

Freshness 25% 3mo ago

Last commit 3mo ago → stale

Issue Health 25% 100%

4/4 issues closed → responsive maintainer

Contributors 10% 2

2 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads 13% 10/wk

10 weekly installs → early adoption

Forks 64

Description Brief

License Apache-2.0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

Expand your description to 150+ characters for better discoverability

Freshness high impact

Last commit was 109 days ago — a recent commit would boost your freshness score

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Badge all embed codes →

Markdown

[![AgentRank](https://agentrank-ai.com/api/v1/badge/monarchjuno--tradingcodex)](https://agentrank-ai.com/tool/monarchjuno--tradingcodex/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)

HTML

<a href="https://agentrank-ai.com/tool/monarchjuno--tradingcodex/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/v1/badge/monarchjuno--tradingcodex" alt="AgentRank"></a>

Embed Widget docs →

HTML

<script src="https://agentrank-ai.com/embed.js" data-tool="monarchjuno/tradingcodex"></script>

Details

Stars: 373
Forks: 64
Open Issues: 0
Closed Issues: 4
Contributors: 2
Dependents: —
Language: Python
License: Apache-2.0
Last Commit: 3mo ago

Matched Queries

topic:mcp

From the README

<h1 align="center">TradingCodex: An Evolving Multi-Agent Investment Team for Codex</h1>

<p align="center">
  
</p>

<div align="center">
  <a href="https://pypi.org/project/tradingcodex/"></a>
  <a href="LICENSE"></a>
  
  
</div>

<p align="center">
  <a href="#dynamics">Dynamics</a> ·
  <a href="#statics">Statics</a> ·
  <a href="#install">Install</a> ·
  <a href="https://monarchjuno.github.io/tradingcodex/">User Guide</a>
</p>

TradingCodex brings an evolving investment team into native Codex. Ask a
question in ordinary language; the right agents collaborate, challenge the
evidence, and leave behind reusable context for the next decision.

It is research-first, local-first, and paper-first. A research answer never
becomes a broker action on its own.

## Dynamics

### The team changes with the question

TradingCodex does not send every ticker through the same checklist. Head
Manager reads the mandate, chooses the smallest useful group of agents, runs
independent work in parallel whe

Read full README on GitHub →