This MCP server provides AI assistants with fast, offline access to a comprehensive snapshot of TwitterAPI.io documentation, enabling instant lookup without internet connectivity or tab-switching.

Key Capabilities:

• Search documentation - Full-text fuzzy search across 54+ API endpoints, guides, and blog posts with camelCase support and typo-tolerance

• Get endpoint details - Retrieve complete documentation for specific endpoints including parameters, cURL examples, and code snippets in multiple languages

• Browse endpoints by category - List all endpoints organized into 9 categories (User, Tweet, Community, Webhook, Stream, Action, DM, List, Trend)

• Access guides - Get conceptual documentation for pricing, rate limits (QPS), authentication, filter rules, changelog, and introduction

• Quick pricing lookup - View pricing tiers, credit costs per endpoint, QPS limits by balance level, and cost comparisons

• Quick authentication guide - Get API key setup instructions with working code examples in cURL, Python, and JavaScript

• Resource URIs - Direct access to specific documentation sections (e.g., twitterapi://guides/pricing)

Benefits:

• Offline-first operation - Works without network access using bundled documentation

• Fast performance - Hybrid caching with memory and disk storage for optimal response times

• Integrated workflow - Access documentation directly within AI assistant interfaces

• Developer-friendly - Returns markdown-formatted results with code examples ready to use

1. Click on "Install Server".

2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.

3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@twitterapi-docs-mcp show me the Twitter API rate limits"

That's it! The server will respond to your query, and you can continue using it as needed.

Here is a step-by-step guide with screenshots.