MaverickMCP - Personal Stock Analysis MCP Server
Star History
Momentum
+17
STARS · LAST 30 DAYS
1
PER DAY
#387
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +17 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
maverick-mcp gained 17 stars in the last 30 days, about 1 a day, and now has 678. It is about 1 year old and has averaged roughly 678 stars a year. It ranks #387 among Python repositories and #3,172 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#2797
BEST RANK
Sep 27, 2026
FIRST APPEARANCE
Active
STATUS TODAY
maverick-mcp has maintained a continuous presence across global trending indexes, peaking at #2797. 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
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ 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
Install maverick-mcp using your package manager: `pip install maverick-mcp`
Initialize your project workspace or configuration file for maverick-mcp.
Import maverick-mcp into your codebase or invoke it directly from your terminal.
Execute your test suite or run `maverick-mcp --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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 #3,172 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #3,166 | PowerNukkitX/PowerNukkitX | Java | ★ 682 | Compare ↗ |
| #3,166 | bea4dev/ShojiWM | Rust | ★ 682 | Compare ↗ |
| #3,169 | oekazuma/svelte-meta-tags | TypeScript | ★ 681 | Compare ↗ |
| #3,170 | voxelize/voxelize | TypeScript | ★ 680 | Compare ↗ |
| #3,170 | cel-rust/cel-rust | Rust | ★ 680 | Compare ↗ |
| #3,172 | wshobson/maverick-mcp This Project | Python | ★ 678 | |
| #3,172 | Basekick-Labs/arc | Go | ★ 678 | Compare ↗ |
| #3,174 | OpenChemistry/avogadrolibs | C++ | ★ 677 | Compare ↗ |
| #3,174 | lindera/lindera | Rust | ★ 677 | Compare ↗ |
| #3,176 | mitchmac/ServerlessWP | PHP | ★ 676 | Compare ↗ |
| #3,177 | corretto/corretto-11 | Java | ★ 675 | Compare ↗ |
Frequently Asked Questions
What does maverick-mcp do? +
MaverickMCP - Personal Stock Analysis MCP Server
What language is maverick-mcp written in? +
The primary language is Python. Topics include: ai-agents, algorithmic-trading, anthropic, backtesting, claude.
Is maverick-mcp actively maintained? +
Yes, the last recorded push was on Sep 27, 2026 with 2 open issues being tracked.
How many stars does maverick-mcp have? +
maverick-mcp has 678 stars and 159 forks on GitHub.
How does maverick-mcp rank among GitHub repositories? +
With 678 stars, wshobson/maverick-mcp is ranked #3,172 globally across all repositories tracked on GitHubRepo and #387 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.
