"Development-related MCP resources" matching MCP servers:

Provides comprehensive development tools for FastMCP projects including documentation access, NPM package version management, and TypeScript type definitions retrieval. Enables developers to fetch FastMCP documentation, analyze NPM packages, and access MCP architecture information through natural language.

An all-in-one development toolkit that integrates 10 popular MCPs with comprehensive features for solo developers, supporting frontend, backend, mobile development, database management, testing, and deployment automation.

Provides accurate meeting transcription with speaker diarization and multilingual support, allowing users to submit audio URLs, poll transcription status, get transcripts, and summarize via MCP tools in their IDE.

Free deterministic security scan of a public git repository (GitHub, GitLab, Codeberg, Bitbucket): vulnerable dependencies via OSV.dev, secret patterns, and config lint, returned as structured JSON. Tools: scan_repository(url), audit_pricing(). Runs locally over stdio (python3 web/mcp_stdio.py or the Dockerfile) and is also hosted at https://project-feldspar.com/mcp. MIT licence, stdlib-only. Buil

Official MCP server for FormaCV, enabling AI-powered CV formatting, anonymization, tailoring, and ATS push-back from AI agents like Claude Desktop and Cursor.

Enables AI coding assistants to scan an iOS, Android, Flutter, React Native or Expo project for App Store and Google Play rejection risks, returning deterministic findings that cite the guideline section, link to the official Apple or Google page and explain how to fix each problem. Nothing leaves the machine and no AI is used in the checks.

Enables AI assistants to search, download, and generate visual content using Freepik APIs, including icon search, image generation, and resource management.

Enables AI tools to interact with browsers for enhanced frontend development, providing context to LLMs through tools like API call analysis, screenshots, element selection, and documentation ingestion.

A minimal Model Context Protocol server template demonstrating tools, resources, and prompts implementation. Built with Smithery SDK for quick MCP server development and deployment.

A minimal Model Context Protocol server template built with Smithery SDK that demonstrates basic tools, resources, and prompts functionality for getting started with MCP development.

Enables AI assistants to browse and interact with both Gopher and Gemini protocol resources safely and efficiently.

MCP server for searching French and European law, providing natural language access to jurisprudence, consolidated legal texts, and related legal information via tools like search_decisions and search_legal_texts.

Enables multi-level reasoning with configurable depth levels, session-based state management, structured thought input, and real-time trace resources.

Discover and connect your agents with other agents via A2A protocol. Share resources for free or fee.

Provides tools to retrieve the GodPrompt universal system prompt and its components (core skill, protocols, gates, anti-patterns) for AI software development, plus task classification. Designed for progressive context usage.

Gives AI assistants sourced, up-to-date Roblox game-development knowledge: engine changes, pitfalls and libraries, each linked to DevForum, Creator Docs or GitHub. Free edition: 50 logics. Full hosted edition (600+): brickwise.dev

Exposes MAID Runner validation tools (validate, snapshot, test) as MCP tools, resources, and prompts for AI agents like Claude Code and Aider, enabling seamless integration with AI development workflows.

MCP server for AI-assisted development on the Lampa open-source TV app, providing read-only access to the source tree with 41 tools and 5 resources for structured analysis, planning, editing, and validation.

Audits images on any public web page to detect oversized images, compare natural vs rendered dimensions, and provide format breakdown, helping AI agents check image performance during development.

Model Context Protocol (MCP) server that dynamically fetches and serves official Flet resources to AI agents, including documentation, controls, packages, and ecosystem components.