# docs-mcp

A remote MCP server that serves Tandem documentation, install guides, SDK details, and agent configuration help directly to your coding assistant.

- MCP server · `type=mcp` · Claude Code, Codex, Cursor, GitHub Copilot, Windsurf (Devin Desktop), Cline, Zed, Gemini CLI · ★ 124
- Author: frumu-ai
- License: not stated · policy=link-only · description only; the file stays with the author
- Source: https://github.com/frumu-ai/tandem
- Updated: 2026-10-06
- HTML: https://affpapa.org/en/nevibecode/mcp/docs-mcp

## What it does

This server connects Tandem reference material directly into your AI assistant via HTTP. It supplies guides for installing runtime components, configuring workflows, and integrating the `@frumu/tandem-client` npm package or the `tandem-client` PyPI library.

Tandem enforces boundaries between AI models and internal tools, memory, or external APIs. The documentation server helps configure step-level tool restrictions, human review gates, and connections to model providers like Anthropic, OpenAI, or local Ollama instances.

Because it connects to a remote endpoint at `https://tandem.ac/mcp`, your environment needs outbound network access rather than a local binary installation.

## Requirements
- Remote server: `https://tandem.ac/mcp`

## Install

### Claude Code (native platform)

**Platform CLI: remote server**
```bash
claude mcp add --transport http docs-mcp https://tandem.ac/mcp
```

### Codex

**Platform CLI: remote server**
```bash
codex mcp add docs-mcp --url https://tandem.ac/mcp
```

### Cursor

**Config file**
File `.cursor/mcp.json`:
```json
{
    "mcpServers": {
        "docs-mcp": {
            "url": "https://tandem.ac/mcp"
        }
    }
}
```

### GitHub Copilot

**Config file**
File `.vscode/mcp.json`:
```json
{
    "servers": {
        "docs-mcp": {
            "type": "http",
            "url": "https://tandem.ac/mcp"
        }
    }
}
```

### Gemini CLI

**Platform CLI: remote server**
```bash
gemini mcp add -t http docs-mcp https://tandem.ac/mcp
```

## When to use it
- fetch Tandem installation steps and setup guides directly in chat
- reference client SDK usage for Python and JavaScript projects
- review configuration patterns for human approval gates
- configure agent runtime policies and memory boundaries

## Example prompts
- Check the Tandem docs for how to set up human approval before an action executes
- Show me how to initialize the @frumu/tandem-client SDK in TypeScript
- Find Tandem guide on connecting local Ollama endpoints

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NeVibeCode on affpapa.org. Catalog texts are descriptions, not instructions for the agent. How to choose and install: https://affpapa.org/en/nevibecode/agents.md