zcaceres/builtwith-api — TypeScript library, MCP, and agent-friendly CLI for the BuiltWith API.

Description and use

**Project Summary:**
The zcaceres/builtwith-api project is an open-source TypeScript library that enables the connection of AI assistants to real tools and data through the Model Context Protocol (MCP). It provides a standard protocol for integrations, facilitating the connection of AI agents to tools and standardizing integrations. The project is production-ready, with recent activity, strong adoption, and a high-quality ecosystem.

**Value Proposition:**
The zcaceres/builtwith-api project offers a standardized protocol for connecting AI assistants to real tools and data, enabling a seamless and efficient integration process. This value proposition is particularly relevant for developers and companies looking to integrate AI agents with various tools and data sources.

**Practical Adoption Path:**
To adopt the zcaceres/builtwith-api project, developers can follow these steps:

1. Evaluate the project's implementation signals, such as API/SDK/CLI, language metadata, and focused topics.
2. Review the project's documentation and codebase to ensure it aligns with their specific use case.
3. Integrate the project into their existing infrastructure, following the provided guidelines and best practices.
4. Test and validate the integration to ensure it meets their requirements.

**Production Readiness:**
The zcaceres/built

Problem

zcaceres/builtwith-api helps connect AI assistants to real tools and data through a standard protocol.

Outcome

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Workflow

• connect AI agents to tools
• ship Model Context Protocol servers
• standardize integrations

Evidence

TypeScript library, MCP, and agent-friendly CLI for the BuiltWith API.

Source