reshapr — MCP Server by reshaprio

by reshaprio · MCP Server · ★ 86

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

About reshapr

The open source, no-code MCP Server for AI-Native API Access

agent-toolsai-agentsai-gatewayai-infrastructureai-integrationai-nativecontext-optimizationcontext-windowdeveloper-toolsgraphql-to-mcp

Quick Facts

Stars86
Forks10
LanguageJava
CategoryMCP Server
LicenseApache-2.0
Quality Score37.75/100
Open Issues18
Last Updated2026-05-04
Created2026-03-04
Platformsjava, mcp
Est. Tokens~74k

reshapr alternative? Top 6 similar tools

Looking for a reshapr alternative? If you're comparing reshapr 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.

  • entroly by juyterman1000 · ⭐ 337

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  • LAP by Lap-Platform · ⭐ 212

    Your agents are guessing at APIs. Give them the actual Agent-Native spec. 1500+ API's Ready To-Use skills, Co

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  • stacklit by glincker · ⭐ 77

    One command gives AI agents instant codebase context. ~250 tokens replaces 50,000+ tokens of exploration. Auto

  • Octopoda-OS by RyjoxTechnologies · ⭐ 230

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Frequently Asked Questions

What is reshapr?

reshapr is The open source, no-code MCP Server for AI-Native API Access. It is categorized as a MCP Server with 86 GitHub stars.

What programming language is reshapr written in?

reshapr is primarily written in Java. It covers topics such as agent-tools, ai-agents, ai-gateway.

How do I install or use reshapr?

You can find installation instructions and usage details in the reshapr GitHub repository at github.com/reshaprio/reshapr. The project has 86 stars and 10 forks, indicating an active community.

What license does reshapr use?

reshapr is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to reshapr?

The top alternatives to reshapr on Agent Skills Hub include entroly, LAP, mcpproxy-go. 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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