"Ray" matching MCP servers:

Enables personal AI agents to combine Meta Ray-Ban audio/vision sensory grounding with long-term episodic life memory graphs and empathetic emotional resonance. Integrates with MCP-compliant clients via JSON-RPC stdio for ambient, context-aware interactions.

Provides AI-powered medical image analysis tools for LLM agents, enabling tasks such as X-ray classification, interactive segmentation, and visual question answering. It supports multi-step diagnostic reasoning and clinical workflows through a suite of specialized medical AI models.

Enables AI agents to autonomously perform end-to-end optical design and optimization tasks in Zemax OpticStudio, including modeling, ray tracing, optimization, manufacturing audits, and aberration analysis with closed-loop feedback.

Enables personal AI agents to integrate multimodal Meta Ray-Ban audio and vision grounding with long-term episodic life memory graphs and empathetic emotional resonance. Supports proactive, context-aware assistance through sensory inputs, ambient telemetry, and task goals.

MCP server that enables natural-language-driven, headless HEC-RAS modeling, letting agents inspect, edit, run, compare, and plot 1D/2D hydraulic models without the GUI.

Safe write access for AI agents. Stellar Jay is an append-only business fact store: every change is kept, attributed to the agent that made it, and can be undone. Agents record, correct and retract facts, read entities, and reverse a bad run with undo_changes. Self-host with stellarjay-mcp (Go, AGPL) or connect to the hosted AvianSuite server at https://mcp.aviansuite.com/mcp.

Enables parallel AI coding agents to claim files atomically, detect and prevent workspace collisions, and receive deterministic zero-latency safety verdicts on destructive shell commands without any network egress. It also provides autonomous wave dispatch, worker recovery, and completion verification for multi-agent workflows via a shared coordination board.

9 tools, Lightning-gated. Pay per call. For agents that need verifiable signed actions with an audit trail. Nostr event signing via daemon Publish events to relays Create Lightning invoices Action receipts — signed proof of agent actions Identity attestation

Universal HTTP 402 Micropayment Protocol & Autonomous Economic Settlement Engine for AI Agents on Base L2.

Enables AI coding agents in Cursor, Claude Code, Cline, and similar editors to halt repetitive failed edits after two consecutive attempts and instead gather falsifiable evidence such as git status, dirty diffs, and locked-port checks before writing more code. It also supervises wrapped shell commands, terminating hung prompts and orphaned process trees so agents can restore a clean, testable baseline.

Facilitates two-stage reasoning processes using DeepSeek for detailed analysis and supports multiple response models such as Claude 3.5 Sonnet and OpenRouter, maintaining conversation context and enhancing AI-driven interactions.

Project Point One Percent - Agent Pay \[pop-pay] is a payment guardrail and one-time flow protocol specifically designed for Agentic AI (e.g., Claude Code, OpenClaw). It enables agents to handle financial transactions safely without risking unlimited exposure of human-controlled credit cards.

Enables AI agents to discover and pay for MCP tools on a sub-cent, pay-per-call basis using x402 and Algorand USDC settlements.

Enables store owners to reorder from suppliers by voice or chat and settle payments through PayPal, while a deterministic policy engine enforces spending limits, allow-listed suppliers, price-jump and duplicate checks so the LLM can only propose payments, never move money. Funds are authorized rather than charged, then captured only for goods verified on delivery via a 3-way match, with step-up human approval for unusual orders and a full audit ledger of every authorization, capture, void and refund.

Enables procurement officers and MCP clients to ingest tender and bid documents, run cited multi-agent evaluations with scores and risk flags, and review audit trails while preventing AI from recording award decisions.

Enables autonomous agents to perform CAD geometry calculations and retrieve Autodesk API knowledge via MCP, combining a native C++ geometry engine with RAG grounded on Fusion 360, APS/Forge, Revit, and Inventor.

An autonomous GitHub management engine that enables control over repositories, branches, security alerts, and Actions workflows through natural language. It utilizes a zero-local-footprint architecture by storing all configuration and audit logs within a private state repository on GitHub.

MCP server for AgentPay — the payment gateway for autonomous AI agents. Fund a wallet once, give your agent the key, and it discovers, provisions, and pays for tool APIs on its own. One key, every tool.

Enables building production-grade RAG systems with agentic reasoning, hybrid retrieval, and MCP protocol integration for use with Claude Desktop.

Enables AI agents to perform financial transactions such as direct payments, escrows, and bounty management using natural language with zero code integration. It provides a comprehensive suite of tools for fund streaming, subscriptions, and reputation tracking to facilitate secure agent-to-agent commerce.