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OrangePro MCP server

by orangepro.ai·ai.orangepro/mcp·v0.2.59·18 stars
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Find test gaps, generate grounded tests, and dynamically prove behavior with mutation testing.

B80/100grade B
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Safety scan
B80/100

not scanned yet

Adoption
Growing

18 stars1.5k downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

OrangePro tools

No tool declarations could be read from the package source. They show once the server is installed.

Not scanned yet. New listings are scanned within a day or two of arriving.

How OrangePro compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
80/100
higher than 60% of 48,243 servers
GitHub stars
18
more than 90% of 28,706 servers
Downloads a week
1,480
more than 95% of 12,306 servers with a package

Release history: 5 versions in the registry since 2026-09-07, latest 2026-10-27, typically one every 17 days.

Install OrangePro in Claude Code, Cursor or VS Code

Runs npx -y @orangepro/mcp-server on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add mcp -- npx -y @orangepro/mcp-server
Add to Cursor

What the publisher says

From the OrangePro repository's README, as published. We do not edit it. Read it on GitHub

Find the behaviors your tests miss. Generate grounded tests that actually run.

OrangePro maps every public behavior in your codebase, scores each one by real test evidence, and shows you the structural blind spots before your users find them. Runs locally. Your code never leaves your machine.

npx -y @orangepro/mcp-server@latest start .

<!-- TODO: Replace with a terminal GIF showing the command running and report opening -->

Table of Contents

  • What you get
  • Evidence tiers
  • Quick start
  • Use with your coding agent
  • How it works
  • Language support
  • Privacy
  • CLI reference
  • MCP tools
  • Platform
  • Contributing

What you get

One command produces an interactive HTML report:

npx -y @orangepro/mcp-server@latest start .
open .orangepro/behavior-coverage.html

The report has two modes: Simple (integration-level blind spots, plain English) and Expert (full behavior list, evidence tiers, flows, system map). Toggle with the pill switch at the top.

→ Live example: Twenty CRM (5,237 behaviors mapped)

System map — entry lanes (GraphQL, HTTP, Jobs) flowing into services, sized by traffic, colored by evidence tier, red-ringed by risk.

Priority gaps of another open source Project HONO — top 20 unproven behaviors ranked by blast radius, with generated test drafts.

Evidence tiers

Every behavior gets exactly one tier. Nothing is labeled "tested" on faith.

"Dynamically Proven 0" is normal on first run. Proof requires running tests against targeted mutations. That's the trust model.

Quick start

cd /path/to/your/repo
npm install          # install the repo's own dependencies first

npx -y @orangepro/mcp-server@latest start .
open .orangepro/behavior-coverage.html

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

OrangePro: common questions

Is OrangePro MCP server safe?
Mostly: it is graded B (80/100). Read the OrangePro safety report
How do I install OrangePro?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does OrangePro need an API key?
Yes. The registry entry asks for OPENAI_API_KEY, ANTHROPIC_API_KEY.
Is OrangePro maintained?
The last commit was 26 days ago (2026-10-10). The latest release is v0.2.59.
What can I use instead of OrangePro?
Servers from other publishers that do the same job: Keploy MCP server.
How does OrangePro compare with other MCP servers?
safety score 80/100 (higher than 60% of 48,243 servers); github stars 18 (more than 90% of 28,706 servers); downloads a week 1,480 (more than 95% of 12,306 servers with a package). Full comparison.

Alternatives to OrangePro

Same job from other publishers: the closest match first, then the best rated.

  • Keploy
    End-to-end API testing — generate and run tests from OpenAPI, curl, Postman, or real user traffic.
    A