Can I test RPC node API calls directly from the documentation?

Yes, the portal features an interactive RPC node API reference that allows you to directly test and experiment with various RPC calls from within the documentation environment.

How does the Developer Portal integrate with AI tools?

It provides a hosted MCP (Model Context Protocol) server and direct integration with popular AI tools like Claude Code, Cursor, VS Code, and Windsurf for intelligent assistance in web3 development.

What is the Chainstack Developer Portal?

It's Chainstack's official documentation hub, offering comprehensive guides, an interactive RPC node API reference, and deep integration with AI agents for enhanced developer experience.

What documentation engine powers the Chainstack Developer Portal?

The portal is built on Mintlify, a modern and robust documentation engine known for its user-friendly interface and powerful features, also used by companies like Anthropic.

Chainstack Developer Portal

Name: Chainstack Developer Portal
Author: chainstack

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Provides comprehensive Chainstack documentation with integrated AI agent access and an interactive RPC node API reference.

The Chainstack Developer Portal serves as the official documentation hub for Chainstack services, leveraging the Mintlify engine for a familiar user experience. It offers an interactive RPC node API reference for direct exploration and testing. Crucially, the portal is designed for the age of AI, providing multiple avenues for LLMs and AI agents to ingest its content, including a hosted Model Context Protocol (MCP) server. This enables seamless integration with various AI tools like Claude Code, Cursor, and VS Code, supporting both general knowledge consumption and AI-assisted documentation contributions.

主な機能

01Direct integration with AI tools including Claude Code, Cursor, VS Code, and Windsurf

02Interactive RPC node API reference for direct testing

037 GitHub stars

04Powered by the Mintlify documentation engine

05Project-specific AI rules for consistent content creation and contribution

06Hosted Model Context Protocol (MCP) server for AI agent access

ユースケース

01Interacting with and testing RPC node API calls directly within the portal

02Enabling AI agents and LLMs to ingest and utilize Chainstack documentation for various tasks

03Browsing and searching Chainstack's comprehensive technical documentation