ac.tandem/docs-mcp
Overview
A remote Model Context Protocol (MCP) server for Tandem that provides access to Tandem documentation, install guides, SDKs, workflows, and agent setup help. It supports capabilities including prompt templates, browser automation, GitHub integration, and workflow automation.
Capabilities
- • network transport options
- • prompt templates
- • browser automation integration
- • github integration
- • workflow automation support
Best For
Remote MCP server for Tandem documentation, SDK access, and agent setup with automation and integration capabilities.
Decision Snapshot
Docs
8 links
Config
1 strong hints
Capabilities
5 key capabilities detected
- • GitHub stars: 88
- • Forks: 12
- • Source provenance count: 1
- • Official signal: Official source: MCP registry provenance.
- • Active signal: Updated this week from lifecycle signals.
- • Last seen: 4/15/2026
- • Published: 4/2/2026
Features
- • Desktop app running locally (starts the sidecar runtime)
- • Headless engine via npm:
- • TypeScript SDK: @frumu/tandem-client
- • Engine package: @frumu/tandem
- • network transport options
- • prompt templates
- • browser automation integration
- • github integration
Use Cases
- • Supports capabilities such as: network transport options; prompt templates; browser automation integration.
- • Common usage themes: mcp.
Supported Clients / Integrations
- • network transport options
- • prompt templates
- • browser automation integration
- • github integration
- • workflow automation support
Compatibility Signals
- • GitHub: supports (Detected in parser config/capability hints.)
Notes / Requirements
- • Primary language: Rust
- • License: MIT
- • Documentation coverage: high
- • Parser coverage score: 0.90
- • Source provenance includes MCP Registry
- • Source feeds: MCP Registry API
- • Topic cluster: productivity-automation
Official Links
Source Information
You can verify all information on this page against the source repository above.
Related MCP Tools
@upstash/context7-mcp
Context7 is a specialized MCP server that provides extended context management for AI assistants. It maintains conversation context across long sessions, enabling AI models to reason about complex, multi-turn interactions without losing track of earlier exchanges. Editor's Review: Context7 solves a fundamental problem with LLM-based AI assistants—limited context windows. By intelligently managing what context to retain and how to retrieve it, Context7 enables AI assistants to maintain coherence over much longer interactions than would otherwise be possible. This is particularly valuable for complex debugging sessions, architectural design discussions, or any workflow where earlier decisions inform later ones. The server is well-documented and straightforward to configure. If you find that AI assistants lose track of your project details in long sessions, Context7 is one of the most practical solutions available.
TrendRadar
AI-driven public opinion and trend monitor with multi-platform aggregation, RSS support, and smart alerts. Integrates with MCP architecture for AI analysis, sentiment insight, and trend prediction, with multi-channel notifications.
github-mcp-server
GitHub's official MCP Server, implemented in Go.
xiaozhi-esp32
An MCP-based chatbot for ESP32, featuring voice interaction (ASR+LLM+TTS), offline wake-up, connectivity (Wi-Fi/4G), OPUS codec, speaker recognition, and display support.
What To Do Next
Continue from this tool into a workflow and a learn guide to shorten implementation time.