"Querying Time or Time-Related Information" matching MCP servers:

Giving LLMs Time Awareness Capabilities. Empower your LLMs with time awareness capabilities. Access current time, convert between timezones, and get timestamps effortlessly. Enhance your applications with precise time-related functionalities.

Enables agents to synthesize typed MCP tool schemas at runtime, validate Python ASTs for unsafe imports, compile sandboxed callable handlers, and hot-plug them into an active MCP runtime. It provides a zero-dependency, standard-library-only MCP server for safe just-in-time tool creation and execution.

Enables agents to dynamically generate typed MCP tool schemas, validate Python execution ASTs against unsafe imports, and hot-plug sandboxed callable handlers into an active runtime. This allows new tools to be synthesized and safely executed on demand.

767-2676.com provides tools to hash task schedule bytes and verify signed time and digest receipts for deadline, cancellation, expiry, and handoff checks. Try the free offline sample at https://767-2676.com/schedule/example; fresh signed witnesses cost $0.001 USDC and require payment authorization.

Enables multi-level reasoning with configurable depth levels, session-based state management, structured thought input, and real-time trace resources.

Enables real-time user intervention for MCP agents through a web UI, allowing users to review context and provide feedback when AI agents drift from intent, keeping them on track.

An MCP server that makes your AI agent learn and evolve by capturing feedback as reusable, persistent skills that improve over time.

Provides deterministic computation of magnetic declination and sky positions (sun, moon, planets) for any location and time, enabling agents to get accurate ephemeris and geomagnetic data without hallucination.

Zero-knowledge password manager with MCP credential gateway. BIP-39 seed phrase recovery, deterministic passwords, policy-gated AI agent access with scope, rate limits, time windows, and step-up approval. Supports 70+ API key providers with hash-chain audit trail.

Provides AI agents with real-time physical perception data including object detections, positions, sounds, and environmental readings via MCP tools.

An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.

Provides real-time oversight for Claude Code by connecting it to an OpenClaw agent that reviews, approves, blocks, or modifies actions before they execute.

Smart memory for AI agents. Solves the Karpathy problem: memories decay, topics are frequency-weighted, one-time questions don't become obsessions. 7 tools. Zero deps.

Mandatory human approval gate for autonomous AI agents. Before any critical, irreversible, or financially significant action executes — file deletion, production deployment, financial transaction — the agent calls oracle_validate. A human receives a real-time Telegram notification with full context and taps Approve or Reject. The agent waits for the decision before proceeding.

Enables AI agents to purchase phone numbers and retrieve one-time SMS/OTP verification codes via the CODASMS API, with support for 700+ services and 180+ countries including automatic refunds if no code arrives.

24/7 autonomous monitoring and edge detection for prediction markets (Kalshi & Polymarket). Features causal tree analysis, orderbook depth tracking, cross-venue comparison, and real-time alerts.

AI-powered financial intelligence for autonomous trading agents. 9 MCP tools for real-time trading signals, risk index, market regime detection, stock analysis, commodity scoring, sector radar, and geopolitical intelligence briefings.

Enables parallel execution of shell commands and AI coding agents (Claude, Gemini, Codex) across lists of items like files or URLs, with batched processing and real-time streaming output for batch operations.

Enables multiple AI agents to coordinate work on the same codebase by providing real-time file locking, commit approval, and agent awareness through a lightweight WebSocket-based MCP server.

Connects AI agents and developers to structured blockchain data across multiple networks through Nodit's Web3 infrastructure, enabling easy querying, analysis and interaction with blockchain ecosystems without specialized development expertise.