"CSS Modules" matching MCP servers:

Enables querying git commit history to analyze when and why code changes happened, providing authorship context and diffs for specific modules.

Enables AI agents to manage Terraform modules by searching, inspecting, and scaffolding configurations from private GitHub repositories. Also provides backend S3 configuration for generated Terraform code.

Enables triage of GitHub issues by fetching and filtering issues, checking claim status, and listing new open issues across a watch-list.

Guides AI agents through open-source contribution workflows, from finding issues to submitting PRs, while keeping decision-making and coding with the human contributor.

An MCP server that scouts truly beginner-friendly open-source issues from GitHub, checking availability and summarizing them for AI consumption.

Provides natural language search capabilities for Spryker GitHub repositories, packages, and public documentation. It enables code-level searches across Spryker organizations to help developers find relevant modules and technical information.

Open source contribution manager — tracks PRs across repos, discovers contributable issues, diagnoses CI failures, and drafts maintainer responses. 21 MCP tools, 5 resources, 3 prompts. Ships as CLI, MCP server, and Claude Code plugin.

Enables autonomous project management with intelligent synchronization between GitHub, Notion, and Motion, including pattern recognition, self-optimization, and automated field population.

An MCP server that enables natural language search capabilities for Spryker packages and code across GitHub repositories, allowing users to find Spryker modules and documentation using conversational queries.

Provides AI coding agents with pre-edit situational awareness by combining structural call graphs and co-change history to prevent incomplete edits. It surfaces files that historically change together, reducing missed coupled modules.

A production-grade MCP server offering modules for GitHub issue/PR triage, live website auditing, and automated release note generation. It provides robust security features like write-operation confirmation gates, rate limiting, and dual-read storage backends.

An MCP server that helps developers find open-source issues worth contributing to by semantically matching interests, scoring repository health, and ranking by real downstream impact.

Enables AI coding agents to search indexed local Git repositories for compatible existing projects and modules, evaluate their technical and structural fit, and copy reusable source bytes into a new target instead of regenerating them. It exposes six scoped MCP tools that return plans and safe file operations, so the agent only implements the remaining delta.

Enables AI assistants to manage Markdown content in GitHub repositories as a headless CMS, with operations to list, read, create, update, and delete files always through a branch and pull request workflow.

Enables agents to access and manage versioned robotics development state, including artifacts, changes, evidence, reviews, and execution context, through read-only, developer, or reviewer MCP profiles.