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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
★197STARS
⑂24FORKS
!10ISSUES
🏆#19,415GLOBAL RANK
🔥43DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

trace-mcp is 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..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), nikolai-vysotskyi/trace-mcp has accumulated 197 GitHub stars and 24 forks. It is written in TypeScript, licensed under MIT, and ranks #19,415 globally. It is actively maintained with the latest commit recorded on Oct 25, 2026.”
Repository nikolai-vysotskyi/trace-mcp ↗
Primary Category ai agents
Language & Stack TypeScript
Software License MIT
Community Traction ★ 197 stars · ⑂ 24 forks · #19,415 globally
Maintenance ● Active (Last commit: Oct 25, 2026) · 10 open issues
Target Audience Developers and engineering teams building with TypeScript, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 88/100 · Grade A
✅
Is trace-mcp actively maintained in 2026?
Verdict: Actively Maintained

Yes, trace-mcp is actively maintained. Continuous telemetry recorded the last code commit on Oct 25, 2026 (18 days ago). Supported by 197 stars and 24 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (18 days ago) and healthy issue cadence.

Commit Recency
Oct 25, 2026
18 days since last push
Issue Backlog
10 Open Issues
Healthy Issue Cadence
Community Backing
24 Forks
197 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

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

+6

STARS · LAST 30 DAYS

1

PER DAY

#2,184

MOST-STARRED TypeScript

Window7 days30 days90 days
Stars gained+0+6+90
Per day111
Forks gained+0+0+10

trace-mcp gained 6 stars in the last 30 days, about 1 a day, and now has 197. It is about 1 year old and has averaged roughly 197 stars a year. It ranks #2,184 among TypeScript repositories and #19,415 across all languages on GitHubRepo.

Trending Record

trace-mcp has maintained a continuous presence across global trending indexes, peaking at #2121. 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.

⇄ Alternatives & Direct Competitors

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freeCodeCamp/freeCodeCamp ★ 458.9K TypeScript

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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 #19,415 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#19,374 open-nvr/open-nvr Python ★ 198 Compare ↗
#19,374 miuuyy/Clew TypeScript ★ 198 Compare ↗
#19,374 mcpp-community/mcpp C++ ★ 198 Compare ↗
#19,374 dji-sdk/Cloud-API-2 C++ ★ 198 Compare ↗
#19,374 getcadcraft/bimcraft JavaScript ★ 198 Compare ↗
#19,415 nikolai-vysotskyi/trace-mcp This Project TypeScript ★ 197
#19,415 msoulier/tftpy Python ★ 197 Compare ↗
#19,415 dejan/espeak-ruby Ruby ★ 197 Compare ↗
#19,415 lzell/nickel Ruby ★ 197 Compare ↗
#19,415 andreisavu/mongodb-log Python ★ 197 Compare ↗
#19,415 dmoulding/boilermake C++ ★ 197 Compare ↗
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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

Is trace-mcp actively maintained in 2026? +

Yes, trace-mcp is actively maintained. The latest code push was recorded on Oct 25, 2026 (18 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 197 stars and 10 open issues.

What language is trace-mcp written in? +

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

How many stars does trace-mcp have? +

trace-mcp has 197 stars and 24 forks on GitHub.

How does trace-mcp rank among GitHub repositories? +

With 197 stars, nikolai-vysotskyi/trace-mcp is ranked #19,415 globally across all repositories tracked on GitHubRepo and #2,184 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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