logicstamp-context — MCP Server by LogicStamp

by LogicStamp · MCP Server · ★ 83

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About logicstamp-context

The Context Compiler for TypeScript. Supports: React · Next.js · Vue (TS/TSX) · Express · NestJS LogicStamp Context is a CLI that compiles TypeScript codebases into deterministic, diffable architectural contracts and dependency graphs - a compact, structured source of truth for AI coding workflows. Includes watch mode, strict, auditable diffs, and real-time breaking change detection. Use with logicstamp-mcp to feed structured context into Claude, Cursor, and other MCP-compatible assistants. ![Node](https://img.shields.io/badge/node-%3E%3D20-brightg

ai-agentsai-assistantsai-toolingarchitecture-analysisastclicode-analysiscontext-engineeringdependency-analysisdeveloper-tools

Quick Facts

Stars83
Forks6
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score70.4228523478492/100
Open Issues3
Last Updated2026-04-26
Created2025-11-07
Platformscli, mcp, node
Est. Tokens~1058k

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Frequently Asked Questions

What is logicstamp-context?

logicstamp-context is A Context Compiler for TypeScript. Deterministic, diffable architectural contracts and dependency graphs for AI coding workflows.. It is categorized as a MCP Server with 83 GitHub stars.

What programming language is logicstamp-context written in?

logicstamp-context is primarily written in TypeScript. It covers topics such as ai-agents, ai-assistants, ai-tooling.

How do I install or use logicstamp-context?

You can find installation instructions and usage details in the logicstamp-context GitHub repository at github.com/LogicStamp/logicstamp-context. The project has 83 stars and 6 forks, indicating an active community.

What license does logicstamp-context use?

logicstamp-context is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to logicstamp-context?

The top alternatives to logicstamp-context on Agent Skills Hub include gitnexus-stable-ops, CodeMCP, agent-lsp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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