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nikolai-vysotskyi/trace-mcp

Framework-aware code intelligence MCP server — 88 framework integrations, 81 languages, 72.7% fewer input tokens to review a pull request, comprehension at parity

TypeScript ◇ ai-agents MIT
★183STARS
⑂21FORKS
!7ISSUES
🏆#5,383GLOBAL RANK
🔥4DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for nikolai-vysotskyi/trace-mcp
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#576

MOST-STARRED TypeScript

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

trace-mcp gained 10 stars in the last 30 days, about 1 a day, and now has 183. It is about 1 year old and has averaged roughly 183 stars a year. It ranks #576 among TypeScript repositories and #5,383 across all languages on GitHubRepo.

Trending Record

trace-mcp has maintained a continuous presence across global trending indexes, peaking at #2992. Below is the 30-day activity profile:

💡 Overview

trace-mcp is an open-source project written in TypeScript: Framework-aware code intelligence MCP server — 88 framework integrations, 81 languages, 72.7% fewer input tokens to review a pull request, comprehension at parity.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-agents, claude, claude-ai. 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 TypeScript 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
$ npm install trace-mcp

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Node.js >= 18, npm, pnpm or bun

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

trace-mcp coordinates its core functionality through a modular TypeScript 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 trace-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 trace-mcp using your package manager: `npm install trace-mcp`

2

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

3

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

4

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

👍 Strengths

Active community backing with 182 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in TypeScript 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 TypeScript 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.

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👥 Who Should Use This

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

🏆 Nearby in the Rankings

nikolai-vysotskyi/trace-mcp is currently ranked #5,383 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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#5,376 cloudfour/simple-svg-placeholder JavaScript ★ 184 Compare ↗
#5,376 nextcloud/user_oidc PHP ★ 184 Compare ↗
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#5,383 nikolai-vysotskyi/trace-mcp This Project TypeScript ★ 183
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Frequently Asked Questions

What does trace-mcp do? +

Framework-aware code intelligence MCP server — 88 framework integrations, 81 languages, 72.7% fewer input tokens to review a pull request, comprehension at parity

What language is trace-mcp written in? +

The primary language is TypeScript. Topics include: ai-agents, claude, claude-ai, claude-code, claude-code-plugin.

Is trace-mcp actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 7 open issues being tracked.

How many stars does trace-mcp have? +

trace-mcp has 183 stars and 21 forks on GitHub.

How does trace-mcp rank among GitHub repositories? +

With 183 stars, nikolai-vysotskyi/trace-mcp is ranked #5,383 globally across all repositories tracked on GitHubRepo and #576 among TypeScript projects.

What license is trace-mcp distributed under? +

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

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