"Setting up Minecraft (MCP) servers with Python and Visual Studio Code" matching MCP servers:

Validates AI-generated Python: syntax, lint, security scan and deterministic repair.

A personal work twin for any AI agent. It briefs agents on the guidance you have confirmed, checks consequential actions against explicit, expiring grants and asks otherwise, and turns your corrections into lessons only you can confirm.

Enables AI agents to control a Minecraft bot inside a Java Edition world via MCP, providing tools for movement, building, mining, combat, farming, trading, inventory, and world perception.

Lets an AI assistant control a live Minecraft server over RCON: list players, broadcast chat, teleport, give items, change weather/time, kick, or run any raw vanilla/plugin command.

A Model Context Protocol server that extracts and analyzes Python code structures, focusing on import/export relationships between files to help LLMs understand code context.

Turns your AI host into a product videographer — scripted screen recordings of your own web app with a gliding cursor, camera zooms, highlight callouts, captions, and branded transitions, plus marketing-grade screenshots. Automatic dark-frame cleanup and MP4/GIF export. Free, MIT, 100% local — no account, no API keys.

Python Docs MCP Server gives AI coding agents local access to the official Python standard library docs. It can look up docs by Python version, return specific sections, and keep answers compact for clients like Claude Desktop, Cursor, and Codex. It runs without API keys or a hosted service.

Enables AI agents to inspect, create, edit, debug, and playtest projects inside the Roblox editor via 29 lean tools, with push-based SSE transport, editor-safe script edits, and batched undoable writes.

Gemini-powered MCP server for automated code review, analysis, and documentation.

Enables AI agents to read, create, edit, format, theme, preview and export Apple Numbers, Keynote and Pages files on macOS through 64 tools, including deck building from outlines, design kits, design review of slides, and Spotlight file lookup. Every write is backed up and swapped in atomically with one-call undo, and Arabic/RTL content round-trips exactly.

Serves TypeSafe's Jev ruleset to MCP hosts as a prompt and instruction tool, enabling agents to experiment with Jev's natural-language decision capabilities.

Paybond Kit for Python is the PyPI package for tenant-bound Paybond integrations and delegated agent spend controls. It opens hosted Gateway sessions, verifies capability tokens, authorizes tool-call spend, signs intent and evidence payloads, uses Stripe Connect, Stripe ACH Direct Debit, or x402 / USDC-on-Base settlement rails, reads tenant-scoped Signal, fraud, ledger, protocol, and A2A data, and

Free Remotion video templates, creative guides and render diagnostics. No API key for local tools; optional paid hosted Studio workflows. Start with get_capabilities.

Checks a code repository without running it: Safe, Works and Complete scores with an A-F grade, catching leaked keys, dangerous calls, invented or lookalike packages, broken imports and missing project files. Standard-library Python; MCP tools scan, orphans and explain.

Generate Wan 3.0 AI videos from text prompts via PowerTokens: check API keys, estimate cost, generate and download MP4s, and resume interrupted tasks without paying twice.

Gives your AI assistant your career history: it saves and scores job postings, tailors a resume to each one from things you actually did, renders the PDF, and tracks your applications. Runs on your own computer with Maestro Career Studio, which installs with two commands on macOS, Linux and Windows.

Exposes the SiftingIO market-data SDK to AI assistants, enabling live prices, fundamental data, and market information retrieval.

Enables users to translate geometric bounding boxes, flowchart node connections, and architectural sketches into clean Mermaid graphs, JSON topology matrices, and boilerplate code scaffolds through MCP.

Enables agents to ground and compare visual specifications by calculating physical dimensions and degrees of freedom from multimodal inputs.

Enables AI agents to search, filter, and monitor curated AI model API free credits and low-cost token promotions through eight tools, four resources, and three prompts — including finding deals expiring soon, checking eligibility and blocked conditions, and producing daily briefs.