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reshaprio
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reshaprio/reshapr

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

Java ◇ agent-tools Apache-2.0
★127STARS
⑂33FORKS
!45ISSUES
🏆#6,134GLOBAL RANK
🔥5DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for reshaprio/reshapr
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#489

MOST-STARRED Java

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

reshapr gained 10 stars in the last 30 days, about 1 a day, and now has 127. It is about 1 year old and has averaged roughly 127 stars a year. It ranks #489 among Java repositories and #6,134 across all languages on GitHubRepo.

Trending Record

reshapr has maintained a continuous presence across global trending indexes, peaking at #2310. Below is the 30-day activity profile:

💡 Overview

reshapr is an open-source project written in Java: The open source, no-code MCP Server for AI-Native API Access.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-tools, ai-agents, ai-gateway. 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 Java 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
$ git clone https://github.com/reshaprio/reshapr.git
cd reshapr

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

JDK 17 or higher (OpenJDK / GraalVM)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

reshapr coordinates its core functionality through a modular Java 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 reshapr.

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 reshapr using your package manager: `git clone https://github.com/reshaprio/reshapr.git`

2

Initialize your project workspace or configuration file for reshapr.

3

Import reshapr into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 127 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Java 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 Java 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

S

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G
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👥 Who Should Use This

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

🏆 Nearby in the Rankings

reshaprio/reshapr is currently ranked #6,134 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#6,120 pando85/kaniop Rust ★ 128 Compare ↗
#6,120 Alia5/VIIPER Go ★ 128 Compare ↗
#6,120 webstonehq/seaquel Rust ★ 128 Compare ↗
#6,120 NaufalRizqullah/opensource-clipping Python ★ 128 Compare ↗
#6,120 HeyPuter/builder JavaScript ★ 128 Compare ↗
#6,134 reshaprio/reshapr This Project Java ★ 127
#6,134 heycarsten/email-veracity Ruby ★ 127 Compare ↗
#6,134 defunkt/nginx_config_generator Ruby ★ 127 Compare ↗
#6,134 selenide-examples/google Java ★ 127 Compare ↗
#6,134 apache/whimsy Ruby ★ 127 Compare ↗
#6,134 gmazzo/okhttp-client-mock Java ★ 127 Compare ↗

Frequently Asked Questions

What does reshapr do? +

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

What language is reshapr written in? +

The primary language is Java. Topics include: agent-tools, ai-agents, ai-gateway, ai-infrastructure, ai-integration.

Is reshapr actively maintained? +

Yes, the last recorded push was on Sep 25, 2026 with 45 open issues being tracked.

How many stars does reshapr have? +

reshapr has 127 stars and 33 forks on GitHub.

How does reshapr rank among GitHub repositories? +

With 127 stars, reshaprio/reshapr is ranked #6,134 globally across all repositories tracked on GitHubRepo and #489 among Java projects.

What license is reshapr distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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