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

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.

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

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.

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

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 AI impact assessments according to ISO/IEC 42005:2025, with built-in EU AI Act compliance and support for phases, categories, and assessment operations.

Per-unit cost of 13 back-office tasks done by a person vs by software, in the US, Greece and Ukraine, with an official statistic behind every hourly wage. Bundled data, works offline.

Bilingual (EN/ES) AI-writing detection that shows the evidence instead of a percentage: named tells with line and column, hidden-character inspection, and citation cross-checking against a document's own bibliography. Seven of its nine tools run entirely locally and never touch the network.

Read-only, source-linked news intelligence for AI agents: search The Neural Ledger's stories, retrieve story details with citations and revision history, and resolve related entities and assets. It is an evidence layer, not a trading or execution service.

Enables AI assistants and developers to analyze code for language-specific best practices and idiomatic patterns across programming languages, CI automation, and configuration formats.

Enables researching, verifying, comparing, and composing open-source AI projects with transparent evidence and uncertainty boundaries through read-only tools.

Disruption Intelligence MCP gives AI agents access to commercial disruption signals through a public MCP server backed by the hosted Forgemesh API. It supports WARN/layoff intelligence, company context, geospatial territory disruption, x402 payment challenge inspection, and economic signal workflows without exposing private scoring logic, ingestion systems, schemas, or infrastructure.

Enables coding agents to search locally indexed repositories with hybrid semantic and lexical retrieval, returning exact source citations with file paths and line ranges.

Provides agent-to-agent paid access to motion capture, rehabilitation biomechanics, location threat intelligence, and commercial truck-sighting data via 21 MCP tools with USDC payments.

Search the fastest-growing US horse boarding directory: 6,000 facilities and 3,800 trainers across 48 states, plus boarding price data by state.

AI-native tooling and MCP integrations for understanding enterprise reports

Turns your intent and source facts into approval-ready Korean public-sector documents — reports, official letters, regulations, press releases, and slides — as HTML, PDF, HWPX, and PPTX. Everything runs locally so your documents never leave your machine; only formatting-rule fragments are fetched from a policy server.

Real-time B2B company firmographics, headcount tier, ARR estimate, tech stack adoption, and verified C-Level executive contact emails for AI SDRs and sales automation.

Multi-agent swarm orchestrator for AI workflows. Exposes blackboard read/write, agent dispatch, permission gating (AuthGuardian), token budget enforcement (FederatedBudget), and audit log tools over MCP. Supports 14 AI framework adapters including LangChain, AutoGen, CrewAI, Codex, and A2A — mix any frameworks in one swarm with race-condition-safe shared state.(Traffic light for agents)