Deep Reasoning (OpenRouter) integrates OpenRouter's AI SDK to provide advanced reasoning and inference for complex analy
Add new capabilities to Claude beyond text generation
Example: Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example: Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example: Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
Slack
MCP server for Slack — enables Claude to interact with Slack data and workflows.
MCP Use
The fullstack MCP framework for developing MCP apps for ChatGPT, Claude, and building MCP servers for AI agents. Connect
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Arize Phoenix — unified interface for managing prompts, exploring datasets, and running LLM experiments across providers
Shadcn io
MCP server connects Claude and AI coding tools to shadcn/ui components. Accurate TypeScript props and React component da
PAL MCP Server
Use Claude Code, Gemini CLI, Codex CLI, or any MCP client with any AI model. Acts as a multi-model proxy supporting Open
Strong directory entry: Deep Reasoning (OpenRouter) surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Strong directory entry: Deep Reasoning (OpenRouter) surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Useful MCP listing: Deep Reasoning (OpenRouter) is the kind of server we cite when onboarding engineers to host + tool permissions.
Deep Reasoning (OpenRouter) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Deep Reasoning (OpenRouter) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Deep Reasoning (OpenRouter) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
According to our notes, Deep Reasoning (OpenRouter) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
According to our notes, Deep Reasoning (OpenRouter) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We wired Deep Reasoning (OpenRouter) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Deep Reasoning (OpenRouter) is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
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Claude Desktop configuration
{
"mcpServers": {
"deep-reasoning": {
"command": "npx",
"args": [
"-y",
"deep-reasoning-mcp@latest"
],
"env": {
"OPENROUTER_API_KEY": "\u003CYOUR_OPENROUTER_API_KEY\u003E",
"MODEL": "\u003CYOUR_MODEL\u003E"
}
}
}
}Provides deep reasoning capabilities through OpenRouter's AI SDK, specifically designed for the DeepSeek-R1 model to perform complex analysis and inference tasks.
Deep Reasoning (OpenRouter) is a community-built MCP server published by lakphy that provides AI assistants with tools and capabilities via the Model Context Protocol. Deep Reasoning (OpenRouter) integrates OpenRouter's AI SDK to provide advanced reasoning and inference for complex analy It is categorized under ai ml, developer tools.
You can install Deep Reasoning (OpenRouter) in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
README content is unavailable from source data for this server.
Open GitHub repository →Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Repomix
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