mcp-trader: A Model Context Protocol (MCP) server for stock traders

by wshobson · MCP Server · ★ 273

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 60/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

anthropicartificial-intelligenceclaudeequitiesfinancefinancial-analysisfintechinvestingmcpmcp-server

Quick Facts

Stars273
Forks67
CategoryMCP Server
Quality Score60/100
Open Issues6
Last Updated2025-08-24
Created2025-01-09
Platformsclaude-code, mcp
Est. Tokens~515k

About mcp-trader

📦 Project Archived This project has been superseded by a completely new MCP server. New MCP Server A new, completely rewritten MCP server is now available at: 🔗 https://github.com/wshobson/maverick-mcp What This Means This repository () is now archived and will no longer receive updates The new repository contains a completely new MCP server with enhanced capabilities This is not a migration of...

Compatible Skills

These tools work well together with mcp-trader for enhanced workflows:

  • claude-equity-research — semantic(0.40)+complementary+rare_topics+similar_pop+shared_platform (58%)
  • LLM_trader — semantic(0.22)+complementary+rare_topics+similar_pop (47%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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