"A guide to Integrated Development Environments" matching MCP servers:

MCP server for Next2D application development that generates code following MVVM + Clean Architecture + Atomic Design patterns, validates architecture, and provides API references.

This MCP server lets AI agents connect to Figma to read, analyze, create, and modify designs, including elements, styles, assets, and code generation. It works with free Figma accounts and supports parallel multi-agent use across MCP-compatible clients.

MCP-first A/B testing server that enables agents to manage experiments (create, update traffic splits, read results, apply winning variants) from tools like Claude Code, with self-hosted Cloudflare backend.

Centralized MCP server that provides standardized development workflow commands to Cursor AI, auto-detecting project type (Laravel, Next.js, Flutter, Architecture) and offering relevant commands for implementation, testing, and commits.

Enables searching and retrieving content, module information, and Twig template snippets from a-blog cms via its GET API.

Provides Figma design context to AI agents, enabling code generation, design system integration, and canvas manipulation through MCP.

Connects AI coding assistants to Anima Playground, Figma designs, and design systems, enabling handoff of designs to production code.

Thin MCP server that enables AI agents to generate video, image, and audio content via the Deepy API using a personal API key, with safe generation flow and no business logic.

Enables querying of a locally pinned snapshot of the Education-to-Workforce Indicator Framework — 99 indicators and 11.8M observations — to browse questions, describe metrics, resolve places, and fetch or rank data across national, state, county, and district levels.

Publishes static sites to Drop2Run from an AI agent: hand it files written in the chat or a folder on disk, and it returns a live HTTPS URL. Six tools — publish_files, publish_dir, list_sites, delete_site, and login / login_code — with no git, no build step and no repository.

Enables agents to discover available still-image animation models, obtain credit quotes without charge, submit one explicitly approved generation job, and poll the resulting short clip.

What is PandaDoc MCP? PandaDoc MCP (Model Context Protocol) server connects AI agents directly to PandaDoc's document workflow — creating, sending, and tracking contracts and agreements without leaving your AI client. How to use PandaDoc MCP? To use PandaDoc MCP, connect your PandaDoc account, provide the required API credentials, and configure the appropriate MCP client.

Open Plugins distribution for Kamy — install Kamy PDF generation in Cursor, Claude Code, and any Open-Plugins-compatible AI agent.

Enables product search, price comparison, and price history analysis across 6 European marketplaces (DE, AT, GB, FR, IT, ES).

Lightweight project management for teams and AI agents.

Enables AI development environments to call the Diffblue Cover CLI tool to automatically generate unit tests for Java code.

A Model Context Protocol (MCP) server for LocalStack that enables management of local AWS development environments, including container lifecycle operations, infrastructure deployments, log analysis with IAM policy generation, chaos injection, and Cloud Pods state management.

Provides seamless access to TomTom's location services including search, routing, traffic and static maps data, enabling easy integration of precise geolocation data into AI workflows and development environments.

Enables AI assistants to manage Featureflow feature flags, including creating and updating features, controlling feature states across environments, and managing projects, environments, and targeting rules through natural language.

Enables interaction with the Initia blockchain ecosystem across L1 and L2 rollups, supporting MiniEVM, MiniMove, and MiniWasm environments. Users can query chain state, manage assets, and execute transactions through LLM agents or an integrated CLI.