"American Express" matching MCP servers:

Enables Adobe Express add-on developers to scaffold projects, access code examples, query SDK documentation, and get implementation guidance for building Adobe Express add-ons.

Enables existing Express routers to be exposed as MCP tools, dispatching tool calls through the Express middleware stack in-process without a network hop.

A unified MCP server for scaffolding project structures across multiple frameworks including Spring Boot, React, Vue, Next.js, FastAPI, Django, Flask, Express, and more.

Enables LLM clients such as Cursor and Claude to discover and use generated REST services through MCP tools for create, update, and delete actions and MCP resources for list and get-by-id context. Services generated in one command are exposed simultaneously as REST endpoints and MCP tools and resources.

Converts existing Express, Fastify, NestJS, Hono, or Koa backends into an MCP-compatible server accessible to AI clients like Claude Desktop and Cursor.

Enables AI agents to safely operate Express applications through a permission-scoped MCP server, with static analysis and audit logging.

Enables clients to discover and call tools for searching mock shuttle trips by origin, destination, and date, and for holding seats for 10 minutes over Streamable HTTP with bearer authentication.

Enables scanning Express.js route surfaces for inventory and audit, classifying routes as public/authenticated.

Enables AI assistants to interact with generated REST APIs by discovering and using CRUD tools and read-only data resources.

Enables AI assistants to discover and invoke CRUD tools and read-only resources over the Model Context Protocol for generated API services.

A basic serverless MCP server example running on Netlify Functions using Express. Demonstrates how to deploy and run Model Context Protocol servers in a serverless environment.

Enables developers to build TypeScript MCP servers that expose tools, prompts, resources, and resource templates with minimal boilerplate via Express-like or decorator APIs.

Enables developers to build TypeScript MCP servers with minimal boilerplate by declaring tools, prompts, resources, and resource templates through an Express-like or decorator API.

A lightweight adapter for creating MCP servers using Express.js, enabling multiple MCP clients on different endpoints with TypeScript support and SSE.

Enables AI assistants to interact directly with generated REST APIs by exposing CRUD operations as MCP tools and read-only data as resources.

A basic example demonstrating how to develop and run a serverless Model Context Protocol (MCP) implementation using Netlify Functions and Express.

A utility that integrates Model Context Protocol (MCP) into Express applications, offering both stateful session management and stateless request handling options.

Exposes generated CRUD services to LLM clients over the Model Context Protocol, providing tools for create, update, and delete actions plus read-only resources for listing and fetching records by id. It lets assistants like Claude, ChatGPT, and Cursor discover and manipulate the same data served by the project's REST endpoints without any extra glue code.

Exposes every generated CRUD service to LLM clients such as Claude, ChatGPT, or Cursor through discoverable MCP tools for create, update, and list actions plus read-only resources, so models can query and manipulate data without raw HTTP calls. It runs alongside the same codebase's REST endpoints, letting clients and AI share one data layer.

Enables LLMs to discover and invoke generated CRUD operations as MCP tools and read data through MCP resources, alongside standard REST endpoints, using one codebase.

Enables LLMs to discover and invoke generated CRUD tools and resources, allowing AI assistants to interact with the same data exposed by the REST API. Supports MCP clients such as Cursor and Claude over HTTP.

A Node/Express + PostgreSQL MCP server that exposes database-backed tools (list_cases, get_case, add_note) to AI clients, secured with bearer-token authentication.

Enables LLMs to discover and invoke generated API actions as MCP tools and read context through MCP resources for list and get-by-id operations. It provides HTTP-based MCP access for clients such as Cursor and Claude without extra glue code.

Enables LLMs to interact directly with generated REST APIs by exposing CRUD actions as MCP tools and read-only data as MCP resources.

An Express + TypeScript starter for building stateless MCP servers with explicit, typed application state, featuring a shopping-cart domain example and support for multiple state store adapters.

A minimal Express-based MCP server that exposes a weather tool through HTTP endpoints, demonstrating how to implement the Model Context Protocol with streamable HTTP transport.

Enables creation of MCP servers with both stdio and HTTP transports, providing CRUD tools, resources, and prompts for user management, along with a CLI client for testing and integration.

Enables LLMs and MCP clients to discover and use generated CRUD services through MCP tools and resources, exposing actions like create, update, delete, and read-only list/get access alongside REST endpoints.

A serverless MCP server example built with Express and deployed on Netlify Functions, demonstrating how to expose MCP endpoints via a custom URL with proper redirects.

Enables AI assistants to discover and invoke generated CRUD tools and read-only resources, letting them interact directly with REST-backed services built on Express, Mongoose, or Sequelize.