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avansaber/tailtest-cline

by Various

tailtest for Cline: MCP server + .clinerules pack + Memory Bank integration. Reaches 8+ editors via Cline. Adversarial test mode shipped from day one.

A

MCP

avansaber/tailtest-cline

Added 1 June 2026

#ai #ai-coding #automated-testing #cline #code-quality #mcp #mcp-server #python

Overview

An MCP server paired with a .clinerules pack and Memory Bank integration for the Cline editor ecosystem. It extends Cline's capabilities to reach 8+ editors and includes adversarial test mode from its initial release.

Best for

Best for
Developers who already use Cline and need a structured, multi-editor test harness with adversarial capabilities.

Use cases

  • Run adversarial tests against code via Cline's editor integration
  • Combine MCP server rules with Memory Bank for contextual testing
  • Standardize test workflows across multiple editors using Cline

Notes

An MCP server paired with a .clinerules pack and Memory Bank integration for the Cline editor ecosystem. It extends Cline’s capabilities to reach 8+ editors and includes adversarial test mode from its initial release.

0 stars on GitHub. Last updated 2026-05-29. Licensed MIT.

Use cases

  • Run adversarial tests against code via Cline’s editor integration
  • Combine MCP server rules with Memory Bank for contextual testing
  • Standardize test workflows across multiple editors using Cline

Pros

  • Works with 8+ editors through Cline’s integration layer
  • Adversarial testing is built in from day one
  • Leverages Memory Bank for persistent test context

Cons

  • Requires Cline ecosystem, limiting standalone use
  • Zero stars indicates early adoption and limited community validation
  • Minimal documentation beyond the repository description

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Works with 8+ editors through Cline's integration layer
  • Adversarial testing is built in from day one
  • Leverages Memory Bank for persistent test context

Cons

  • Requires Cline ecosystem, limiting standalone use
  • Zero stars indicates early adoption and limited community validation
  • Minimal documentation beyond the repository description
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