Pare — MCP Server by Dave-London

by Dave-London · MCP Server · ★ 124

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About Pare

  Pare Reliable, structured CLI output for AI agents — no more parsing fragile terminal text. Pare provides MCP servers that wrap common developer tools (git, npm, docker, test runners, etc.) and return clean, schema-validated JSON instead of raw terminal text. Agents get typed data they

ai-codingai-toolsclaudecursordeveloper-toolsmcpmcp-servermodel-context-protocolstructured-outputtoken-efficiency

Quick Facts

Stars124
Forks11
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score70.8836681655163/100
Open Issues1
Last Updated2026-05-28
Created2026-02-10
Platformsclaude-code, docker, mcp, node
Est. Tokens~438k

Pare alternative? Top 6 similar tools

Looking for a Pare alternative? If you're comparing Pare with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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  • Mantic.sh by marcoaapfortes · ⭐ 550

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  • memorix by AVIDS2 · ⭐ 521

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  • claude-emporium by Vvkmnn · ⭐ 274

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Frequently Asked Questions

What is Pare?

Pare is Dev tools, optimized for agents. Structured, token-efficient MCP servers for git, test runners, npm, Docker, and more.. It is categorized as a MCP Server with 124 GitHub stars.

What programming language is Pare written in?

Pare is primarily written in TypeScript. It covers topics such as ai-coding, ai-tools, claude.

How do I install or use Pare?

You can find installation instructions and usage details in the Pare GitHub repository at github.com/Dave-London/Pare. The project has 124 stars and 11 forks, indicating an active community.

What license does Pare use?

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

What are the best alternatives to Pare?

The top alternatives to Pare on Agent Skills Hub include Overture, mcp-fusion, claude-historian-mcp. 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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