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wshobson/maverick-mcp

Stock market MCP server for Yahoo Finance data, technical analysis, portfolio tracking, and Python backtesting. Runs locally with no API key for core tools.

Python ◇ ai-agents MIT
★707STARS
⑂165FORKS
!1ISSUES
🏆#10,397GLOBAL RANK
🔥41DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

maverick-mcp is maverick-mcp is an open-source project written in Python: MaverickMCP - Personal Stock Analysis MCP Server..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), wshobson/maverick-mcp has accumulated 707 GitHub stars and 165 forks. It is written in Python, licensed under MIT, and ranks #10,397 globally. It is actively maintained with the latest commit recorded on Oct 17, 2026.”
Repository wshobson/maverick-mcp ↗
Primary Category ai agents
Language & Stack Python
Software License MIT
Community Traction ★ 707 stars · ⑂ 165 forks · #10,397 globally
Maintenance ● Active (Last commit: Oct 17, 2026) · 1 open issues
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 92/100 · Grade A
✅
Is maverick-mcp actively maintained in 2026?
Verdict: Actively Maintained

Yes, maverick-mcp is actively maintained. Continuous telemetry recorded the last code commit on Oct 17, 2026 (26 days ago). Supported by 707 stars and 165 community forks, this repository holds a calculated health index of 92/100, reflecting regular maintenance (26 days ago) and healthy issue cadence.

Commit Recency
Oct 17, 2026
26 days since last push
Issue Backlog
1 Open Issues
Healthy Issue Cadence
Community Backing
165 Forks
707 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for wshobson/maverick-mcp
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Momentum

+15

STARS · LAST 30 DAYS

1

PER DAY

#1,478

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+15+90
Per day111
Forks gained+0+4+10

maverick-mcp gained 15 stars in the last 30 days, about 1 a day, and now has 707. It is about 1 year old and has averaged roughly 707 stars a year. It ranks #1,478 among Python repositories and #10,397 across all languages on GitHubRepo.

Trending Record

maverick-mcp has maintained a continuous presence across global trending indexes, peaking at #839. Below is the 30-day activity profile:

💡 Overview

maverick-mcp is an open-source project written in Python: MaverickMCP - Personal Stock Analysis MCP Server.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-agents, algorithmic-trading, anthropic. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install maverick-mcp

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

maverick-mcp coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with maverick-mcp.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install maverick-mcp using your package manager: `pip install maverick-mcp`

2

Initialize your project workspace or configuration file for maverick-mcp.

3

Import maverick-mcp into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `maverick-mcp --help` to verify successful setup.

👍 Strengths

Active community backing with 678 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

wshobson/maverick-mcp is currently ranked #10,397 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#10,386 lyft/Hammer Swift ★ 708 Compare ↗
#10,386 blacksky-algorithms/rsky Rust ★ 708 Compare ↗
#10,386 PurrNet/PurrNet C# ★ 708 Compare ↗
#10,386 UNIkeEN/SJMCL TypeScript ★ 708 Compare ↗
#10,386 JordanCoin/codemap Go ★ 708 Compare ↗
#10,397 wshobson/maverick-mcp This Project Python ★ 707
#10,397 resque/redis-namespace Ruby ★ 707 Compare ↗
#10,397 tricknotes/ember-cli-rails Ruby ★ 707 Compare ↗
#10,397 hashicorp/raft-boltdb Go ★ 707 Compare ↗
#10,397 fedimint/fedimint Rust ★ 707 Compare ↗
#10,397 UKGovernmentBEIS/inspect_evals Python ★ 707 Compare ↗
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Frequently Asked Questions

What does maverick-mcp do? +

Stock market MCP server for Yahoo Finance data, technical analysis, portfolio tracking, and Python backtesting. Runs locally with no API key for core tools.

Is maverick-mcp actively maintained in 2026? +

Yes, maverick-mcp is actively maintained. The latest code push was recorded on Oct 17, 2026 (26 days ago). It holds a calculated Maintenance Health Score of 92/100 (A rating) with 707 stars and 1 open issues.

What language is maverick-mcp written in? +

The primary language is Python. Topics include: ai-agents, anthropic, backtesting, claude, fastmcp.

How many stars does maverick-mcp have? +

maverick-mcp has 707 stars and 165 forks on GitHub.

How does maverick-mcp rank among GitHub repositories? +

With 707 stars, wshobson/maverick-mcp is ranked #10,397 globally across all repositories tracked on GitHubRepo and #1,478 among Python projects.

What license is maverick-mcp distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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