"Resources for Frontend Coding" matching MCP servers:

A local stdio server that lets coding agents build and verify a merchant payment integration against a sandbox, creating and cancelling invoices, simulating payment outcomes, checking invoice status, and validating webhook signatures. It also serves embedded docs as resources and refuses live or payout keys, keeping all work out of production paths.

A read-only API change deploy gate for AI coding agents that analyzes OpenAPI specs to determine if changes are safe to deploy. It provides tools for comparing specs, explaining breaking changes, and generating migration guides.

MCP server for Mockzilla. Lets coding agents like Claude Code, Claude Desktop, Cursor and Gemini CLI install the Mockzilla CLI and run API mocks from an OpenAPI spec or a single endpoint. Log in from the agent to deploy hosted mocks on mockzilla.org

A high-performance, multi-protocol API mock server with 18 built-in MCP tools for managing HTTP, GraphQL, gRPC, WebSocket, MQTT, SSE, and SOAP mocks, chaos engineering, stateful CRUD resources, and request verification.

Enables AI coding assistants to work correctly against Vertafore ImageRight APIs with version-aware configuration and planned API exploration tools.

Provides AI-enabled access to Amazon Business API documentation, sample code, and troubleshooting resources. Enables developers to search and retrieve API documentation, generate integration code, and get guided solutions for common errors during the API integration process.

An MCP server that gives AI coding agents real-time access to the public-apis dataset, enabling search, live probing, and code snippet generation for 1,500+ free public APIs.

Enables AI coding agents to create webhook bins, inspect and replay HTTP requests, and stand up mock API endpoints directly from the editor.

Zero-telemetry local developer execution layer for AI coding agents. Provides deterministic tools to inspect listening network ports and processes, calculate IPv4 CIDR subnet ranges and usable hosts, decode embedded creation timestamps from distributed IDs (UUIDv7, ULID, Snowflake, MongoDB ObjectId), and convert Unix epoch timestamps to UTC, ISO 8601, and local time.

Exposes Specmatic's API contract testing, resiliency testing, and mocking capabilities to AI coding agents via natural language, enabling automated validation and simulation of API behaviors.

Webhook testing for coding agents: create endpoints, send signed test webhooks, inspect captured requests, compare attempts and verify signatures.

Enables AI coding assistants to write, validate, and troubleshoot Kenya Revenue Authority eTIMS integrations spanning OSCU cloud REST, VSCU, TIS, buyer-initiated invoicing, fuel station automation, and stock management. Exposes searchable knowledge, API schemas, KRA code tables, payload validation, ready-to-run sample payloads, QR code string formatting, and instant error-code diagnostics.

MCP server for scanning smart contracts for security vulnerabilities. It detects issues like reentrancy, overflow, access control, and provides security scores with NEAR-specific recommendations.

Enables AI coding assistants to discover, inspect, and run API requests in Bruno collections locally, keeping all data private.

An MCP server that enables Claude to interact with Tembo Cloud platform API, allowing users to manage Tembo Cloud resources through natural language.

A lightweight MCP server that lets coding agents manage a local or remote WireMock instance through the WireMock Admin API, providing tools for creating, updating, deleting, and inspecting mock mappings and request journal entries.

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.

Local OpenAPI contract checks and breaking-change detection between spec versions for AI coding agents.

A CDP-native MCP server that lets AI agents drive a real Chrome browser with deep network/console inspection, robust page interaction, and the ability to reverse-engineer a site's API flow into runnable code with dependency chaining and replay verification.

A Model Context Protocol server that creates tools from API configurations defined in YAML files, allowing easy integration of external APIs into an MCP ecosystem without coding.