"date-fns" matching MCP servers:

Enables AI assistants to perform up-to-date web searches through the Tavily API, providing comprehensive search results with AI-generated summaries.

A Model Context Protocol server that provides Claude with access to AI-powered trading predictions and analysis from the aiprediction.us API, handling authentication, date formatting, and data retrieval.

A paid hosted MCP server that enforces explicit state transitions for AI agent workflows, providing tools to check, explain, and log state changes.

Enables risk-controlled automated trading of XAUUSD and NAS100 on Gate TradFi MT5/CFD, with deterministic EMA strategies, economic-event blackouts, shadow execution, audit logging, and guarded live-mode switching.

A server that routes user questions to specialized agents (date, location, weather) or an LLM expert, with a simple Streamlit web interface for easy interaction.

Enables autonomous agents and multi-agent frameworks to route actions through deterministic human approval gates before execution. Enforces risk tiers, reversible checkpoints, and token approval bounds so that risky or costly operations can be reviewed, bounded, and rolled back without LLM round-trips.

Coherence guard for shared files: when two agents write the same file, the stale writer is denied instead of silently overwriting, then reacquires and retries. Single-host, TLA+-verified.

Blocks prompt injection, jailbreaks, and out-of-scope input before an AI agent acts. classify_input tool, stdio transport.

Enables AI agents to automatically inspect and fill web application forms on job application sites through a logged-in Chrome, supporting text, select, radio, date, cascading dropdowns, and dynamic row operations.

Human-in-the-Loop approval gate for AI agents to assess risky operations and require user approval via Cursor forms.

I built this local stdio MCP adapter to discover, preview, and purchase live agent data APIs, including vendor risk, company intelligence, transaction preflight, and EVM reads. Free discovery and previews require no wallet. Optional paid calls settle in Base USDC through x402 v2; auto-pay is disabled by default.

Zero-trust safety & settlement rail for autonomous AI agents. Sub-10ms deterministic guardrails, secret leak defense, bounded wallet controls, and on-chain Proof-of-Safety attestations via x402.

Enables AI project feasibility evaluation and solution planning through structured reasoning stages, using Gemini API and web search for up-to-date research.

Signed receipts for agent actions and a read-only-allowlist decision gate, as an MCP server. Ed25519, plus ML-DSA-65 when the post-quantum backend is available. gate_decision returns ALLOW, DENY or ESCALATE from action names and does not observe or block anything. verify_receipt takes expected_kid to pin which key signed. Seven tools.

Enables AI coding agents to route tool calls through PrivateVault's enforcement engine before execution, so disallowed actions are blocked and every decision is recorded as a verifiable, hash-chained audit record.

Provides MCP tools to score request sufficiency against a profile, block underspecified work, and write committed decision records with evidence and overrides.

Enables MCP clients to submit completed speech or typed text to a self-hosted decision engine and receive judgments such as ordinary speech, command, retained thought, uncertainty, or no action, along with session and decision inspection.

Cross-agent memory server: hybrid (vector + full-text + knowledge-graph) recall, per-user private/shared visibility, write-side secret/PII redaction, and as-of-date bi-temporal fact queries. Auto-injection hooks for Claude Code / Cursor / Codex; self-hostable on PostgreSQL or SQLite.

A lightweight, modular API service that provides useful tools like weather, date/time, calculator, search, email, and task management through a RESTful interface, designed for integration with AI agents and automated workflows.

Provides computational tools for systematic reasoning, including boolean evaluation, date arithmetic, object counting, state tracking, and format validation, to enhance agent capabilities and eliminate calculation errors in reasoning tasks.