# Tambo Documentation

> Use this tool when you need to access Tambo documentation quickly and efficiently, solving problems of manual browsing and information discovery for developers. It provides web scraping and search capabilities, taking in queries and documentation section inputs, and outputting relevant content snippets and pages. Ideal for use during development workflows, enabling conversational access to documentation and contextual help.

Canonical page: https://skillsregistry.net/skills/tambo-docs  
JSON: https://api.skillsregistry.net/v1/skills/tambo-docs

## Description

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.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/tambo-docs)
- **Repository:** <https://github.com/kylegrahammatzen/tambo-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "tambo-docs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tambo-docs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tambo-docs/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt