A Model Context Protocol (MCP) server implementation for the Ashra AI platform.
https://github.com/getrupt/ashra-mcpStop switching between AI tools. This MCP server brings Ashra's AI platform directly into your Claude workflow, giving you access to specialized capabilities without leaving your conversation.
Claude is powerful, but sometimes you need specialized AI functions that go beyond general conversation. Rather than juggling multiple AI platforms, copy-pasting between tools, or breaking your flow to switch contexts, the Ashra MCP server lets you tap into additional AI capabilities right from Claude Desktop.
Think of it as adding new tools to Claude's toolkit—capabilities that complement Claude's strengths while keeping everything in one seamless interface.
Seamless Integration: One-time setup gives you persistent access to Ashra's capabilities within any Claude conversation. No more app switching or context loss.
Extended AI Functionality: Access specialized AI tools and models through Claude's familiar interface. Whether you need different reasoning approaches, specialized domain knowledge, or complementary AI capabilities, they're now available through natural conversation.
Unified Workflow: Keep your entire AI-powered workflow in Claude. Start a conversation, invoke Ashra capabilities when needed, and continue without breaking stride.
Research and Analysis: Combine Claude's conversational abilities with Ashra's specialized analytical tools. Ask Claude to help structure your research while seamlessly accessing Ashra for specialized processing or domain-specific analysis.
Development Workflows: Use Claude for general coding assistance while accessing Ashra for specialized tasks like code analysis, documentation generation, or domain-specific problem solving.
Content Creation: Draft with Claude, then enhance with Ashra's specialized content tools—all within the same conversation thread.
Problem Solving: When Claude hits its limits or you need a different AI perspective, invoke Ashra's capabilities without losing your conversation context.
The integration is straightforward—add one configuration block to Claude Desktop and you're ready:
{
"mcpServers": {
"ashra": {
"command": "node",
"args": ["<path-to-repo>/build/index.js"],
"env": {
"ASHRA_API_KEY": "<YOUR-API-KEY>"
}
}
}
}
Clone the repo, build it, add your Ashra API key, and restart Claude. The server runs locally, so you maintain full control over your data and connections.
Model Context Protocol servers like this one represent the future of AI tool integration. Instead of managing multiple AI platforms, you extend your primary AI assistant with specialized capabilities. It's like adding specialized libraries to your development environment—each tool does what it does best, but they all work together seamlessly.
The Ashra MCP server exemplifies this approach: purpose-built TypeScript implementation using the official MCP SDK, clean integration with Claude Desktop, and direct access to specialized AI capabilities without workflow disruption.
Get Started: Clone the repository, follow the setup guide, and start extending Claude with Ashra's AI capabilities. Your workflow will thank you.