Tambo Documentation
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.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- search
- Source
- PulseMCP
- Repository
- github.com/kylegrahammatzen/tambo-mcp-server
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Tambo Documentation from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.