Tambo Documentation
Provides access to Tambo documentation through web scraping and search capabilities, enabling quick reference lookups and contextual help during development workflows.
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Documentation MCP server that provides AI assistants with access to Tambo documentation through web scraping and search capabilities. The implementation uses Cheerio for HTML parsing and includes caching mechanisms to efficiently fetch documentation content from docs.tambo.co, offering tools for discovering available documentation sections, fetching specific pages, and searching across content with snippet extraction. Built with TypeScript and designed for developers working with Tambo who need conversational access to documentation without manually browsing the docs site, enabling quick reference lookups and contextual help during development workflows.
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