Wordware MCP Server

Wordware MCP Overview

Wordware MCP is a Model Context Protocol server that bridges local development environments with Wordware’s AI flow platform. By running the MCP locally, developers can expose their deployed Wordware apps as tools that Claude or other AI assistants can call directly. This eliminates the need for external hosting or complex webhook setups, allowing rapid iteration and debugging of AI‑powered workflows from a single machine.

The server solves the common pain point of testing AI flows in isolation. When building an assistant that relies on Wordware’s structured prompts, data pipelines, or custom logic, developers traditionally had to deploy each change to the cloud and wait for network round‑trips. Wordware MCP automatically discovers all apps associated with a user’s API key, registers them as tools in the MCP catalog, and serves them on a configurable local port. This means that every time an AI assistant invokes a tool, the request is routed straight to the local instance of Wordware, giving instant feedback and reducing latency.

Key capabilities include:

• Automatic tool discovery – No need to manually list app IDs; the server queries Wordware’s API and populates the MCP resources.
• Seamless Claude integration – The installer can configure Claude’s local settings, ensuring the assistant knows where to find the MCP endpoints.
• Flexible configuration – API keys and ports can be supplied via environment variables, files, or command‑line flags, supporting both ad‑hoc and CI/CD workflows.
• Enhanced error handling – Detailed logs help developers pinpoint failures in the flow or network communication, speeding up troubleshooting.
• CLI and programmatic API – The function allows embedding the server inside a larger Node.js application, while the command‑line interface supports quick one‑liner starts for local testing.

Typical use cases involve building custom virtual assistants that combine Wordware’s sophisticated language models with external data sources, automating repetitive tasks in enterprise tools, or prototyping new conversational flows before deploying them to production. For example, a sales team could create a Wordware app that pulls CRM data and generates personalized outreach emails; the MCP server would expose this as a tool, enabling Claude to call it on demand during a conversation.

In essence, Wordware MCP turns a local development machine into a fully functional AI tool provider. It streamlines the developer experience by removing deployment friction, offering instant feedback loops, and integrating effortlessly into existing AI assistant workflows.