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

Provides access to real-time LLM pricing, speed metrics, and performance benchmarks for over 300 models from Artificial Analysis. It enables users to list, filter, and compare models based on costs, tokens per second, and intelligence indices.

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.

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

Enables developers to query a project's Python and JavaScript/TypeScript import graph for dependents, blast radius, affected tests and entry points, cycles, and dead-code candidates, with a confidence summary on every answer.

A hypothesis-driven B2B positioning engine with 8 tools for strategic positioning, competitive analysis, and go-to-market messaging.

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.

Enables MCP clients to discover and invoke domain-specialized tools for humanitarian emergency response, public health, research synthesis, grant proposals, human rights monitoring, maternal health, and SOP synthesis. It supports JSON-RPC 2.0 over Streamable HTTP for structured, privacy-conscious field outputs and voice-friendly summaries.

Enables AI assistants like Claude Code and Cursor to get evidence-based tool and workflow recommendations from community data.

MCP server that provides impact preview and approval workflow for AI agent actions, allowing users to see diffs and risk assessments before any changes are executed.

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.

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.

Enables AI assistants to query your local browsing history using keyword search, RAG Q&A, and activity stats.

MCP server for Bumi Digital that enables AI image, video, and audio generation and upscaling directly from MCP-compatible assistants like Claude Desktop and Cursor.

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

Analyzes code changes using static code-graph and git co-change history to identify likely affected files, returning tiered confidence reports with evidence. Exposes tools for AI assistants to inspect current changes, static impact, historical co-change patterns, and detailed explanations.

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.

Provides B2B positioning and messaging tools based on the IMPACT Framework, enabling analysis of champions, competitors, and value propositions to craft compelling messages and execute strategic audits.

Enables an AI to build, inspect, test, and render logic circuits as .dig files, then open them in the Digital app.

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

Privacy-first, read-only repo intelligence for AI coding agents: scans local codebases and recommends MCP servers, repos, and research without sending data to the cloud.

MCP server for 34 embeddable pixel-art digital fireplaces. Enables listing fireplace styles, retrieving HTML/embed codes, and getting recommendations based on mood or tags.

Provides MCP tools to search, retrieve, and answer questions from the public Open Finance Brasil Confluence documentation using BM25-based local indexing.

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.

Exposes digital twin device data capabilities as MCP tools, allowing MCP clients to query device status, read real-time metrics, fetch time-series data, and check alerts. Includes a simulated PLC driver with a clean interface for connecting real devices via OPC-UA, Modbus, or gateway APIs.

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.

Provides AI governance and EU AI Act compliance through a council of 12 AIs, enabling risk management, transparency, bias detection, and content watermarking.

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.

Enables AI assistants to query the Vanoe Market Intelligence API directly for stock verdicts, trend-stage analysis, Point & Figure signals, sector breadth, macro regime, SEC filings, and macro calendar data via MCP tools.

Enables large language models to automatically report customer-facing issues with Azure resources by parsing natural language requests and submitting impact reports through the Azure Management API.