maverick-mcp: Stock market MCP server for Yahoo Finance data, technical analysis, portfolio tracking, and Python backtesting

by wshobson · MCP Server · ★ 720

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

How to install maverick-mcp

git clone https://github.com/wshobson/maverick-mcp.git
claude mcp add --transport http maverick-mcp http://localhost:8003/mcp/

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 75/100

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. Full audit →

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.

ai-agentsanthropicbacktestingclaudefastmcpfinancefinancial-analysisllmmcpmcp-server

Quick Facts

Stars720
Forks169
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score75/100
Open Issues4
Last Updated2026-11-06
Created2025-08-24
Platformsclaude-code, mcp, python
Est. Tokens~21k

About maverick-mcp

MaverickMCP - Personal Stock Analysis MCP Server MaverickMCP is a personal-use FastMCP 2.0 server that provides professional-grade financial data analysis, technical indicators, and portfolio optimization tools directly to your Claude Desktop interface. Built for individual traders and investors, it offers comprehensive stock analysis capabilities without any authentication or billing complexity.

Compatible Skills

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

  • LLM_trader — semantic(0.24)+complementary+rare_topics+same_lang+similar_pop+shared_platform (62%)
  • claude-equity-research — semantic(0.45)+complementary+rare_topics+similar_pop+shared_platform (60%)
  • ai-hedge-fund-crypto — semantic(0.19)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • vn_stock_advisor — semantic(0.31)+complementary+same_lang+similar_pop+shared_platform (56%)
  • tradingview-mcp — semantic(0.44)+rare_topics+same_lang+similar_pop+shared_platform (55%)

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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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