RikkaHub

v1.0.0Cloud Servicesstable

RikkaHub is an Android APP that supports for multiple LLM providers.

androidappchatbot-uichatboxchatgpt
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What is RikkaHub?

RikkaHub is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to rikkahub is an android app that supports for multiple llm providers.

RikkaHub is an Android APP that supports for multiple LLM providers.

This server falls under the Cloud Services category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • RikkaHub is an Android APP that supports for multiple LLM pr

Use Cases

Use an Android app that supports multiple LLM providers.
Access different AI models from a mobile interface.
rikkahub

Maintainer

LicenseNOASSERTION
Languagekotlin
Versionv1.0.0
UpdatedMay 22, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx rikkahub

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use RikkaHub

RikkaHub is a native Android LLM chat client built with Jetpack Compose that lets you switch between multiple AI providers — including OpenAI-compatible APIs, Google Gemini, Anthropic, and DeepSeek — from a single mobile interface. It supports MCP (Model Context Protocol) integration, multimodal input (images, PDFs, DOCX), markdown rendering with LaTeX and Mermaid, message branching, agent customization, and web search via providers like Exa, Tavily, and Brave. Developers and power users who want a feature-rich, open-source AI chat client on Android without being locked into one model provider will find RikkaHub a compelling alternative to proprietary apps.

Prerequisites

  • An Android device running Android 8.0 (API 26) or later
  • API keys for your chosen LLM providers (e.g., OpenAI, Anthropic, Google Gemini, DeepSeek)
  • Google Play Store access or ability to sideload APKs
  • Optional: an MCP-compatible server endpoint if using MCP features
1

Download and install RikkaHub

Download the RikkaHub app from the official website or Google Play Store. The app is free and open-source.

# Download from website:
https://rikka-ai.com/download

# Or install from Google Play:
https://play.google.com/store/apps/details?id=me.rerere.rikkahub
2

Add your first AI provider

Open the app, navigate to Settings > Providers, and tap the + button to add a provider. Choose from OpenAI-compatible, Google Gemini, Anthropic, or DeepSeek. Enter your API key and optionally a custom base URL for compatible endpoints.

3

Select models for conversations

Tap the model picker icon at the top of the chat screen to choose from any model available under your configured providers. You can switch models mid-conversation using the same picker.

4

Enable MCP integration

Go to Settings > MCP to add an MCP server endpoint. Enter the URL of any running MCP server (stdio or HTTP-based). RikkaHub will connect to it and expose its tools during conversations.

5

Configure web search

Under Settings > Search, enable one or more web search providers. Supported options include Exa, Tavily, Zhipu, LinkUp, Brave, and Perplexity. Enter the relevant API key for your chosen provider.

6

Use multimodal input

In any chat, tap the attachment icon to add images, PDFs, or DOCX files alongside your text message. The app sends these to providers that support multimodal input.

RikkaHub Examples

Adding an OpenAI-compatible provider

Example provider configuration for an OpenAI-compatible endpoint such as DeepSeek:

{
  "name": "DeepSeek",
  "type": "openai",
  "baseUrl": "https://api.deepseek.com/v1",
  "apiKey": "sk-your-deepseek-api-key",
  "models": ["deepseek-chat", "deepseek-reasoner"]
}

Prompts to try

Typical prompts you can use once RikkaHub is set up with your providers:

- "Summarize the attached PDF and highlight the key conclusions"
- "Search the web for the latest news about MCP servers and give me a summary"
- "Draw a Mermaid sequence diagram for a user login flow"
- "Translate the following text to Japanese: [paste text]"
- "What model are you using right now?"

Troubleshooting RikkaHub

API calls fail with 401 Unauthorized

Double-check that your API key is entered correctly in Settings > Providers. For OpenAI-compatible endpoints, also verify the base URL ends with /v1 and matches the provider's documentation.

MCP tools don't appear in the chat

Ensure the MCP server is running and reachable from your Android device (not just localhost on your desktop). Use an HTTP-based MCP server and confirm the URL includes the correct port and path.

App crashes when loading a large PDF

Very large PDFs can exhaust memory on lower-end devices. Try splitting the PDF into smaller sections before attaching, or use a model with a larger context window that handles chunking server-side.

Frequently Asked Questions about RikkaHub

What is RikkaHub?

RikkaHub is a Model Context Protocol (MCP) server that rikkahub is an android app that supports for multiple llm providers. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install RikkaHub?

Follow the installation instructions on the RikkaHub GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with RikkaHub?

RikkaHub works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is RikkaHub free to use?

Yes, RikkaHub is open source and available under the NOASSERTION license. You can use it freely in both personal and commercial projects.

Browse More Cloud Services MCP Servers

Explore all cloud services servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "rikkahub": { "command": "npx", "args": ["-y", "rikkahub"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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