# Tandem Docs

> Use this tool when you need to access accurate and up-to-date documentation for Tandem, a bounded agentic workflow platform, to install, operate, and build automations. It solves problems such as guessing product guidance and provides inputs like search queries and task descriptions, with outputs including relevant documentation and guides. Use Tandem Docs in contexts where agents require direct access to published documentation, such as setting up Tandem Engine or building workflows.

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

## Description

Tandem Docs is a remote MCP server for helping agents learn how to install, operate, and build with Tandem.

Tandem is a bounded agentic workflow platform for repeatable, inspectable automation. This MCP gives agents direct access to the published Tandem docs so they can stay grounded in real product guidance instead of guessing.

Use it to help agents:

- install Tandem Engine
- use the Python SDK
- use the TypeScript SDK
- build workflows and automations
- run Tandem headless
- discover the next docs to read for a task
- inspect docs freshness, cache state, and refresh proofs

The server exposes search, docs retrieval, structured guide endpoints, and JSON-RPC tools over the public remote endpoint at:

https://tandem.ac/mcp

Learn more and see setup instructions:

https://tandem.ac/docs-mcp

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-23

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-08-23

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/tandem/docs-mcp)

## 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": "tandem-docs-mcp"
    }
  }
}
```

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