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MCP server for using your browser wallet with natural language

Use this skill when users need KVcore CRM actions through MCP/CLI (contacts, tags, notes, calls, email, text.

Leverage Cursor’s powerful new MCP feature with this lightweight Python FastMCP server with a Google Docs agent.

Enables controlling macOS applications via accessibility APIs, supporting actions like clicking, typing, and keyboard input through MCP commands.

Microsoft Research's agent training framework.

A template for deploying an authentication-free MCP server on Cloudflare Workers that can be connected to Claude Desktop or AI Playground for remote tool execution.

Exposes the 7-prime spine, 7 κ-bands, and 6 fold operations as native tools and resources in any MCP client for folding state analysis.

Enables management of Apple Reminders on macOS, including creating, listing, searching, editing, completing, moving, and deleting reminders and reminder lists via native EventKit.

model context protocol

Enables exposing MCP tools over HTTP using Python and FastAPI, allowing AI assistants like Cursor to connect and use tools like web search, echo, and math operations.

Summarize long-form content — articles, podcasts, research papers, PDFs, notes, and more — using the Dizest API.

Provides ontological research capabilities and Universal Language processing through a remotely hosted Cloudflare Workers endpoint. Supports x402 micropayment protocol for paid tool access, offering research tools for exploring ontological concepts and language structures.

Query Grok AI via browser automation.

Pose-guided temporal video motion transfer & character animator (Viggle style)

Mynk MCP Server — search Norwegian companies and decision makers from Claude, Cursor and VS Code via Model Context Protocol.

CentralWize MCP Server — Market intelligence for AI agents. Competitive analysis, workflow-level gaps, BUILD/PIVOT/AVOID verdicts. /analysis.

Brazilian CEP MCP provides tools to query Brazilian postal code (CEP) information through the Model Context Protocol. Built by Guilherme Lirio, it uses Node.js with TypeScript and integrates with external CEP APIs via Axios to retrieve address details. The implementation is containerized with Docker for easy deployment and configured through Smithery.ai, making it ideal for applications requiring Brazilian address validation or location-based services within AI assistant workflows.

An MCP server that enables AI agents to send realtime messages, query channels, and manage users through Pusher Channels.

An MCP-powered AI agent that troubleshoots Docker containers through natural-language conversation