"Organic Maps" matching MCP servers:

Enables AI agents to analyze public Reels, TikTok, and YouTube Shorts by extracting timestamped transcripts, visual understanding, and searchable video maps, then query specific moments via MCP tools.

MCP server for AI governance — push compliance evidence to Mima from any agent, any stack, 4 lines of config. One tool call maps to EU AI Act, ISO 42001, SOC 2, and NIST AI RMF simultaneously. Your readiness score updates automatically.

Provides a structured map of 120 practical AI prompts across 6 business domains, enabling users to quickly generate complete prompts for specific tasks using slash commands or tools.

Model Context Protocol server for RPG Maker MV project management. Provides 102 tools for actors, classes, skills, items, weapons, armors, enemies, states, troops, common events, maps, events, tilesets, animations, system settings, project management, AI vision analysis, offline ASCII map rendering, and knowledge-driven map generation

Provides cryptographic signing and verification for AI decisions to generate verifiable, Ed25519-signed receipts for compliance and auditing. It automatically maps AI actions to regulatory frameworks like HIPAA and SOX with high-performance, sub-3ms signing.

Pay-per-use API tools and LLM gateway for AI agents. 15 services (DART, Tabelog, Google Maps, Brave Search, Firecrawl, DeepL, ElevenLabs, and more) + smart LLM routing. No API keys needed, pay with USDC on Base.

Enables AI agents to create style-locked game projects and generate sprites, animations, tiles, maps, music, 3D models, and VFX, then export engine-ready packages for Godot, Phaser, Unity, GameMaker, or RPG Maker MZ.

Maps Salesforce metadata into a Neo4j graph database, enabling AI agents to reason about schema and generate accurate SOQL queries.

Provides read-only Model Context Protocol tools for My AskAI, enabling documentation search, filesystem queries, and pricing estimates.

Exposes semiconductor wafer analysis tools including wafer maps, P-charts, and statistical plots, enabling AI assistants to visualize and analyze wafer test data.

An auditable memory, lifecycle, and governance server for AI agents, providing durable memories with provenance, lifecycle management, and guarded workflows through the Model Context Protocol.

Enables Claude Code to use Alibaba Cloud Token Plan models via a local proxy that maps Anthropic-style model names to Alibaba IDs and provides missing endpoints like model discovery.

An MCP server that enables AI assistants to analyze images for AI-generated content using noise maps, error level analysis, frequency analysis, spectral decay, color analysis, and metadata inspection.

Enables to interact with job application workflows through MCP, allowing users to find jobs, generate non-trivial applications with proof-maps, and build offline dashboards, all without auto-submitting.

MCP servers for enterprise commerce that expose Spring Boot services and React portals through FastMCP servers, enabling natural language interactions with the underlying HTTP APIs.

An MCP server that gives Claude (and any MCP-compatible agent) full access to Google NotebookLM — create notebooks, upload sources, ask questions, and generate audio overviews, quizzes, flashcards, mind maps, slide decks, videos, and reports.

Exposes remote, agent-facing MCP endpoints over Streamable HTTP for web search, webpage parsing, local knowledge-base retrieval and document creation, and delegation of tasks to configurable LLM providers. Also bundles an admin console with onboarding, provider/model configuration, API-key management, and call logging.

Enables AI assistants to estimate monocular depth maps from local or remote images and frame-by-frame video using bundled ONNX Depth Anything V2 models, without requiring PyTorch. Also exposes tools for listing and pre-downloading checkpoints and checking the runtime backend, with automatic GPU/CPU selection.

An MCP server that reduces token usage by injecting graph-ranked repo maps, decision logs, and diff-only output into AI coding tool requests.

Enables AI assistants to have a living memory with atomic knowledge storage, multi-factor recall, organic decay, automatic learning, and graph traversal via MCP.