"National Grid" matching MCP servers:

Enables MCP-aware agents to estimate, submit, monitor, cancel, and retrieve artifacts from Jungle Grid workloads, supporting asynchronous AI execution, batch processing, training, fine-tuning, and access to logs and managed outputs.

Jungle Grid MCP Server lets AI agents submit, estimate, monitor, and retrieve logs for GPU workloads through Jungle Grid. It enables agentic execution for inference, training, fine-tuning, and batch jobs without manually choosing GPU providers or infrastructure.

Enables Claude Code and other MCP clients to create, modify, and monitor Agentforce Grid workbooks, worksheets, and columns via the Salesforce Grid Connect API.

The deterministic fact-verification layer for AI agents. Validates the structured facts an agent emits — IBANs, payment cards, VAT and national tax IDs, crypto and bank addresses, domains, emails, phone numbers, securities and academic identifiers, plus dates, currencies and holidays — against checksums and curated authoritative data, not guesses.

PII sanitization layer for autonomous AI agent pipelines. Detects and redacts emails, phone numbers, national IDs, private keys, and financial data before text reaches LLMs. Supports EN, ES (LATAM), PT (BR/PT), DE, JA.

AI-powered professional document generation server that creates Word and Excel documents with multiple themes, Mermaid diagrams, and Chinese national standards compliance, integrated via MCP protocol.

Generate real pixel art — sprites, animations, and tilesets — from any MCP-capable AI assistant. Grid-aligned pixels, controlled palettes, transparent backgrounds, with cost estimation always free.

Enables AI agents to recognize passports, national ID cards, and driver's licenses from images and return the printed fields, MRZ data, and authenticity results as structured JSON.

Carbon-aware MCP scheduler that defers "do it later" / "by tomorrow" / "overnight" LLM tasks to the cleanest electricity-grid hour inside a deadline — 40-70% lower CO2 per task, 50% cheaper via Anthropic/OpenAI Batch APIs. 9 MCP tools, per-task carbon receipts to local SQLite, Apache-2.0.

Enables agents to run image generation experiments across multiple models and providers by managing a grid of prompts and models, creating collections, editing rows and columns, and comparing generated images.

Autonomous, carbon-aware building management system that pairs EnergyPlus digital twins with LLMs via the Model Context Protocol (MCP) for dynamic HVAC optimization and grid carbon reduction.

Provides real-time weather alerts and forecasts for US locations by integrating with the National Weather Service API. Supports both server and client interactions with optional LLM summarization.

Enables high-resolution image canvas processing by slicing images into spatial grid tiles and blending seams for seamless generative upscaling, compatible with Magnific AI / Krea AI workflows.

Provides multimodal OCR table grid and merged-cell reconstruction into Markdown, and integrates with MCP-compliant clients like Claude Desktop and Cursor.