"AI Footprints - Environmental and Digital Impact of Artificial Intelligence" matching MCP servers:

Enables comparing and recommending AI models based on scenario-specific criteria such as capability, context, relative cost, and self-hosting, with explanations of the scoring weights.

Provides comprehensive Swiss agricultural environmental compliance data covering water protection zones, ammonia emission limits, biodiversity requirements, and nutrient regulations from BAFU, BLW, and Agroscope. Enables AI assistants to search federal ordinances and verify farm compliance through specialized tools for GSchG, LRV, DZV, and other environmental laws.

Records privacy-preserving receipts for AI-assisted tasks and enables optional onchain reward claiming via AIPOU tokens. Integrates with MCP-compatible clients like Claude and Cursor.

Enables analysis of legal document changes by constructing a dependency graph and simulating impact propagation, with risk level assessment.

Real-time video intelligence

Fast pre-commit dependency gate for AI-assisted code changes. Answers "is this safe to commit?" with a PASS/WARN/BLOCK verdict in seconds, so you can catch risky blast radius before a bad commit, not after it. No database, no heavy setup.

MCP server for creating and managing digital human models with built-in EU AI Act compliance, part of the MEOK AI Labs ecosystem.

Estimates the environmental footprint of your AI use — energy (kWh), miles driven, water used for cooling, and CO₂ — plus a prompt-efficiency score, working with any AI client by measuring token usage.

Read-only MCP server for cross-stack impact analysis across Java Spring Boot backend and TypeScript frontend linked through OpenAPI.

An intelligent MCP toolset for software testers that monitors code changes, analyzes test impact, recommends tests, and assesses risk, supporting multiple AI coding frameworks via dual transport modes.

MCP server that analyzes TypeScript/JavaScript codebases via AST parsing and dependency graph tracing to identify affected tests, detect dead code, circular dependencies, and trace import chains, enabling AI agents to run only relevant tests.

MCP server that wraps Shopify, Amazon, and Google Maps intelligence tools. AI agents pay autonomously in USDC on Base via x402 — no API keys or accounts needed.

Agent payments ecosystem intelligence. Scans GitHub, Hacker News, and npm for activity across AP2, ACP, x402, MPP, and UCP protocols. Returns scored and classified opportunities. Free protocol info and comparison, paid scan via x402 USDC

Enables querying normalized real-world asset data through MCP tools, including listing assets, retrieving asset details, comparing yields against SOFR, and checking eligibility by jurisdiction.

A persistent long-term memory system that enables AI clients to store and recall notes, code, and research via semantic search. It utilizes Google Gemini embeddings and Supabase pgvector to provide a secure, searchable 'Second Brain' for MCP-compatible applications.

MCP server providing 29 tools across 5 layers for semantic TypeScript/JavaScript code intelligence, enabling AI agents to find references, trace impacts, guard APIs, and explain errors without text-search false positives.

MCP server for Akij Resource Digital Management team providing KPI summaries and utility tools (time, echo, calculation) over Streamable HTTP, deployable to Vercel.

Enables AI agents to browse and read files from a public Google Drive folder via MCP. Provides tools to list folders, read document contents, and get download URLs.

Provides search and retrieval over a local database of Pathfinder 2e rules. Enables Claude Code to answer rules questions with cited, accurate answers from fetched entries.

An MCP server that provides access to the Library of Babel, allowing users to retrieve exact page contents by address, search for text to find its location, and generate random pages.