"Developing an application by analyzing specified development and API documentation" matching MCP servers:

An MCP server that enables users to retrieve trivia questions and answers across various categories through the API-Ninjas Trivia API. It supports customizable result limits and filtering by categories like science, history, and entertainment.

Enables users to search for and retrieve detailed information about celebrities from the API Ninjas database. Supports filtering results by name, nationality, net worth range, and height.

Enables users to search and retrieve fitness exercise information from the Api Ninjas database. It supports filtering by exercise name, target muscle, type, and difficulty level.

Generates Lorem Ipsum placeholder text with customizable parameters including paragraph count, length, and formatting options through the API Ninjas service.

Provides AI assistants with direct access to the complete Godot Engine documentation, including classes, tutorials, and features. It enables developers to retrieve and analyze official documentation through natural language interfaces using the Model Context Protocol.

Enables access to TikTok data without watermarks, including trending users, hashtags, post analytics, user profiles, and download links for specific countries. Supports searching by username, user ID, or post links.

MCP server for GoCertius: certified evidence, dossiers, notifications and chats via AI agents.

Enables AI applications to interact with Amazon Advertising API through the Model Context Protocol. Supports campaign management, performance reporting, audience targeting, and comprehensive advertising operations across Amazon's advertising ecosystem.

MCP server for EAD Factory that enables qualified evidence, signature, notifications, and chat via AI agents.

Provides 170+ tools to manage UniFi networks via the internal controller API, enabling AI assistants to perform full network management including clients, devices, WLANs, firewall, and more.

Enables AI agents to interact with EAD Enterprise Suite for managing signatures, evidence, notifications, and dossiers.

MCP server that establishes feedback-oriented development workflows with dual Web UI and desktop application interfaces, enabling AI to confirm with users via prompts and real-time feedback to reduce speculative operations and improve efficiency.

An MCP server that provides deterministic unit conversions backed by Pint, enabling exact unit conversions, compatibility checks, and parsing of quantities for LLMs.

Interactive feedback server for AI-assisted development with Web UI and desktop app support, enabling user feedback collection after AI tasks.

MCP server for Coalesce that manages nodes, pipelines, environments, jobs, and runs, and enables project validation, DDL/DML preview, deployment planning, and cloud environment application.

Obox MCP is a development toolkit that enables AI agents to autonomously execute system commands, manage files, and navigate projects within the IDE.

An MCP server that integrates fal.ai's image generation and editing capabilities into MCP-compatible clients. It enables text-to-image generation, style application via LoRAs, and image editing using natural language instructions.

A comprehensive development toolkit with 23 tools covering code quality analysis, development efficiency, and project management. Enables AI-assisted code review, test generation, performance analysis, SQL generation, UI component creation, and automated project documentation.

An MCP server framework featuring dynamic tool loading and a modular one-tool-per-file architecture for rapid development. It supports both Stdio and HTTP transport modes, offering automated test generation and centralized configuration management.

A state persistence layer that enables seamless handoffs between different AI coding assistants by maintaining a shared context bus. It provides tools for tracking summaries, next steps, and active files to ensure continuity across development sessions.