"Full Stack Web Application Development" matching MCP servers:

A TypeScript-based MCP server that enables AI assistants to execute HTTP requests with full control over methods, headers, and body content. It facilitates seamless interaction with web APIs and endpoints through a versatile tool that handles automatic JSON formatting and response truncation.

Enables ChatGPT plugins and other MCP clients to fetch live web pages and documents as Markdown and to call HTTP APIs via self-hosted Cloudflare Workers.

A REST API built with FastAPI that exposes endpoints via Model Context Protocol (MCP), allowing clients to interact with CRUD operations through MCP interfaces.

Enables developers to access kintone API specifications, field type documentation, and development best practices through natural language queries. Supports API request validation and provides comprehensive development guidance for kintone customizations.

Exposes read-only and write probes over a remote Streamable-HTTP /mcp endpoint so users can verify that ChatGPT Web discovers and calls remote tools, and test whether write actions actually execute on their plan. Real HWPX document editing is not yet supported; this P0 release only measures connectivity and read/write action boundaries.

Enables external agents to manage an ARTEX instance over its Web API via stdio, supporting authentication, route discovery and invocation, file transfers, SSE event reading, and optional isolated Chromium UI automation.

Enables fetching content from any URL with support for different HTTP methods, custom headers, and request bodies. Designed to work with ChatGPT and other AI assistants for web scraping and API interactions.

Universal HTTP client tool for LLM agents. Enables Claude and other MCP-compatible agents to perform GET, POST, PUT, DELETE, and other HTTP requests to any URL, including localhost and internal network addresses.

Lets AI assistants safely explore a Matrix42 instance by discovering web services and the data model, running validated ASQL queries, searching the service desk, and previewing ticket actions — read-only by default and without exposing credentials.

Optimizes REST API calls for AI agents by returning compact schemas instead of full responses, allowing agents to fetch only needed fields via jq masks, reducing token consumption by up to 50x.

Enables AI assistants to search, analyze, and debug application API traffic captured by Tusk Drift, including HTTP requests, database queries, distributed traces, latency metrics, and error rates.

A TypeScript-based MCP server that enables testing of REST APIs through Cline. This tool allows you to test and interact with any REST API endpoints directly from your development environment.

Security intelligence API for AI models. CVE lookup with EPSS/KEV, domain recon (DNS, WHOIS, SSL, subdomains, WAF), and code security checks (secrets, injection, headers). 16 tools, no API key required.

Enables LLMs to send HTTP requests to a local development server, allowing interaction with APIs running on localhost.

Enables AI assistants to fetch and understand API endpoint definitions from Apifox projects in real-time. Supports retrieving complete API specifications including request methods, parameters, headers, and response schemas to improve development efficiency and code generation quality.

A reusable MCP server for QA automation testing that enables running tests across web apps, APIs, CLI tools, and more directly from Claude Desktop.

Enables AI agents to send HTTP requests to any endpoint with full control over methods, headers, query parameters, and request bodies.

Enables AI agents to create disposable webhook URLs, capture incoming HTTP requests, inspect headers and bodies, and replay them against local or remote endpoints, streamlining the webhook handler development loop.

MCP server for managing Apidog test cases, scenarios, suites, and test data, providing full read/write access to Apidog's test management features.

Manages project standards, configurations, and API debugging for AI-assisted development, ensuring unified development practices across teams and machines.

Enables AI agents to execute HTTP/REST/GraphQL requests against any endpoint, including private VPN hosts and local services, while logging untruncated headers, request bodies, and raw responses into a local SQLite audit history. Agents can then search that history by keyword, date, method, or status, retrieve full details by ID, and export everything to JSON.

A comprehensive HTTP client MCP server for security testing, API testing, and web automation that provides full-featured HTTP tools with detailed logging capabilities.

Exposes the Hookbase webhook relay API as tools for AI assistants to manage sources, destinations, routes, and events through natural language. It enables monitoring webhook success rates, replaying failed deliveries, and managing localhost tunnels for development.

Enables AI assistants to manage API endpoints, environments, and testing workflows through the GASSAPI backend. Provides semantic documentation tools for endpoint cataloging and automated flow creation for backend-to-frontend development workflows.

Enables AI assistants to configure and manage session-based REST and WebSocket mock servers for application development and testing. It allows for dynamic endpoint setup, request history inspection, and real-time WebSocket communication through natural language commands.

Comprehensive API development and testing MCP server for Claude Code. Integrates OpenAPI parsing, testing, SDK generation, and documentation generation into Claude workflows.

An MCP server for checking OWASP Top 10 vulnerabilities during API development testing. It analyzes API information and returns security assessment results to help developers identify potential security issues.

The Joomla MCP Server facilitates interaction between AI assistants (like Claude) and Joomla websites through the Joomla Web Services API. It provides tools to manage articles, including retrieving, creating, updating, and deleting content, as well as managing article states.

Provides full access to the Etsy Open API v3 for both buyer browsing and seller shop management through 37 specialized tools. It enables users to manage listings, process orders, handle shipping, and access inventory data via secure OAuth 2.0 authentication.

Converts FastAPI application OpenAPI documentation into MCP tools for AI assistants to efficiently query API information. Reduces token consumption by enabling on-demand, structured API queries instead of loading complete OpenAPI specifications.