"Design Resources and Prototyping Best Practices" matching MCP servers:

A FastMCP-based server designed for the banking and fintech domains, providing tools for database queries, Git operations, and deployment management. It features a modular architecture with reusable prompt templates and integrated security practices for sensitive data handling.

Enables searching GitHub users and repositories, fetching details, and performing stock market technical analysis via AlphaVantage.

An MCP server designed to retrieve DevOps skills, code standards, and SAP Fiori documentation templates from a GitHub repository. It allows users to list available resources and fetch specific best practices to integrate directly into their development workflow.

Analyzes GitHub repositories and provides advanced optimization recommendations for Next.js and React projects, covering clean architecture, SOLID principles, performance patterns, and best practices.

An MCP server that enforces development discipline and workflow best practices, guiding users through a structured process of coding, testing, documenting, committing, and releasing.

Exposes Yocoolab design feedback threads, selections, and activity events as tools for AI coding assistants like Claude Code.

Exposes GitHub, SQLite database, and calendar tools, resources, and prompts over MCP so any MCP client can query data, manage issues, and schedule events.

Enables AI assistants and MCP hosts to inspect GitHub repositories, pull requests, issues, and activity, and to create issues through schema-validated tools, resources, and prompts, with write actions gated by host or CLI confirmation.

Provides MCP tools for reading the ant-design GitHub repository (repository info, directory listings, file contents) and for querying US weather alerts and forecasts via the National Weather Service API.

Enables AI assistants to query GitHub repositories, issues, pull requests, CI status, and discover trending repos via natural language. Provides MCP tools, resources, and prompts for GitHub data access.

Enables real-time assessment of GitHub repository health by exposing tools and resources for repository metadata, open issues, recent commits, and GitHub Actions workflow runs, plus prompts for health reports and issue triage.

A production-ready MCP server with 24 tools for Stripe, Twilio, Resend, GitHub, and Slack, plus pre-built workflow prompts and live resources.

Enables AI agents to plan and implement work as numbered Markdown initiative files inside a git repository, coining collision-free numbers, tracking status and cross-collection dependencies, and running design-review, implement, and complete prompts. It also keeps collection READMEs current by regenerating tables, Mermaid dependency graphs, and a themes index.

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.

An MCP server for the GitHub API that provides repo summaries, recent commit messages, raw README resources, and a prompt template for evaluating repos as portfolio pieces.

Automates GitHub issue-to-PR workflows using specialized AI agents (analyst, architect, developer, tester, reviewer) that analyze requirements, design solutions, implement code, generate tests, and perform code reviews with HIPAA compliance checks.

A Python MCP server that wraps the GitHub CLI (gh) to provide structured tools for searching, reading, and managing GitHub resources like repos, issues, PRs, releases, and workflows, with write commands disabled by default.

A Model Context Protocol server that enables AI to manage AtomGit open source collaboration platform resources including repositories, issues, pull requests, branches, and labels.

Provides AI assistants with access to personal best practice skills and coding guidelines stored as markdown files in a GitHub repository, enabling retrieval and listing of custom development standards.

A Model Context Protocol server that enables AI assistants to interact with Azure DevOps resources including projects, work items, repositories, pull requests, branches, and pipelines through a standardized protocol.

A Model Context Protocol server that provides tools and resources for Java CI/CD workflows and GitLab CI template management.

Quality-aware code intelligence that turns GitHub search into ranked, explainable, import-ready recommendations, enabling developers to find the best code implementations with archetype clustering and provenance-based import.

Full-stack AI agent for Livewire v4.2+ / Laravel 13 / PHP 8.4+ with planning, memory, bug fixing, version control, GitHub integration, and design conversion.

A Model Context Protocol server that enables Claude to interact with Backlog project management tools through API integration, allowing management of projects, issues, wiki pages and other Backlog resources.

A Model Context Protocol server that enables AI assistants to interact with Bitbucket repositories, pull requests, and other resources through Bitbucket Cloud and Server APIs.

Enables interaction with Linear resources through an MCP interface, offering functionality for issue management and resource retrieval with rate limiting and error handling support.

Turns DeepSeek Harness into an MCP server with tools for session management, agent execution, resources, and OAuth, plus browser automation and GitHub/GitLab integration.

Enables AI assistants to interact with Bitbucket repositories, pull requests, and related resources through the Bitbucket Cloud and Server APIs. It supports operations such as listing repositories, retrieving repository details, and fetching or creating pull requests.

Enables coding agents to extract a source feature’s static dependency closure and adapt it into a target Git repository’s own data model and design, then carry later upstream fixes into the adapted copy with pinned provenance and frozen verification checks.

Provides ~200 auto-generated tools and resources for LLM agents to interact with Gitea and Forgejo instances via the Model Context Protocol.

Enables AI assistants to interact with Bitbucket Cloud and Server APIs, including listing and retrieving repositories, fetching pull requests, creating pull requests, and managing related resources safely without DELETE operations.

Enables AI assistants to interact with Bitbucket Cloud and Server APIs to list and retrieve repositories, manage pull requests, and access related resources via the Model Context Protocol.

Enables AI assistants to interact with Bitbucket Cloud workspaces, repositories, branches, commits, and pull requests through generic API tools for reading, creating, commenting, searching, comparing, and managing resources. It supports natural-language version control workflows using scoped API tokens or app passwords.

Enables comprehensive security scanning of code repositories to detect secrets, vulnerabilities, dependency issues, and configuration problems. Provides real-time security checks and best practice recommendations to help developers identify and prevent security issues.

Enables AI assistants to manage work items, repos, pull requests, pipelines, boards, wikis, and test plans through Model Context Protocol tools, resources, and prompts, supporting PAT, OAuth, Managed Identity, and Service Principal authentication.

Enables AI assistants to interact with Bitbucket Cloud and Server APIs by listing repositories, retrieving repository details, fetching and creating pull requests, and accessing related resources with configurable authentication and pagination.

Enables AI agents to interact with Azure DevOps resources such as projects, builds, repositories, work items, test plans, and wikis through natural language using the Model Context Protocol.

Enables AI assistants to access and manage repositories, pull requests, and related resources via Bitbucket Cloud and Server APIs, including listing repositories, fetching pull request details, and creating pull requests.

Full-coverage GitLab MCP server with 44 tools across 18 resource types. Agent-optimized CQRS design — one tool call handles complete multi-step operations. Supports OAuth 2.1, read-only mode, stdio/SSE/StreamableHTTP transports, and GraphQL-native work items with full hierarchy (epics,issues,etc)

Enables AI assistants to browse repositories, view and create pull requests, and work with other resources through Bitbucket Cloud and Server APIs. Supports authenticated access via app passwords or access tokens, with paging through large result sets and an optional flag for dangerous operations.