"date-fns" matching MCP servers:

Enables agents to detect and redact PII and secrets in text, HTML, and PDF documents before they reach an LLM, with reversible placeholder, mask, or hash redaction, and to list supported detectors and redaction styles.

Fresh, source-verified docs for building MCP servers and Claude agents, served to your AI coding agent over MCP. Each document is stamped with its source URL and last-verified date.

Free Industry 4.0 / IIoT tools, no API key or account: lint MQTT Sparkplug B topics, check a Unified Namespace (UNS) for naming and hierarchy problems, and run an industrial AI-readiness diagnostic for manufacturing digital transformation and smart-factory projects. Works in Claude Code, Codex and any MCP client.

Enables Claude Code and Claude desktop to generate AI videos and images through Dare, with credit cost estimation, reference uploads, and generation management billed to the user's Dare credits.

An MCP server that provides comprehensive data verification in China, including identity, business, vehicle, OCR, and risk assessment services.

Enables users to review, rewrite, and explicitly approve or cancel prompts before they are sent to an LLM. It supports local LLM enrichment, multiple coding agents, and safe gating without automatic forwarding.

Provides intelligent web search capabilities using OpenAI's reasoning models, enabling AI assistants to fetch up-to-date information with smart reasoning.

Semantic gateway that turns mainstream databases into MCP services with business metadata enhancement and parameterized SQL tools.

LLM pricing oracle — model lookup, cost estimation, and comparison via LiteLLM. An MCP server that gives AI assistants accurate, up-to-date model pricing from the LiteLLM community registry. Look up pricing and capabilities for any LLM with fuzzy matching, estimate costs for token volumes, and compare models by provider, context window, or mode.

A deterministic MCP server that guards AI/agent output by detecting secrets, injection, and PII in ~85µs with zero dependencies. Gives a clear ship/block verdict and runs locally or hosted.

An MCP stdio server that lets an AI agent run ComfyUI or VoiceStudio batch jobs on a GPU shared with a local LLM server by unloading the LLM, launching the executor, running the jobs, and always reloading the LLM afterward. It exposes comfy_batch, voice_batch, and gate_status tools so a single blocking call handles the whole GPU hand-off safely even if the client disconnects.

Provides up-to-date AI model names and pricing from models.dev, solving model hallucination by fetching recently released models.

Enables MCP clients to query Kiro credit usage, including plan, used and remaining credits, reset date, and percentage used, through a read-only tool with optional cache refresh.

LLM pricing for coding agents: every price carries its source and the date it was last confirmed, and disputed prices are flagged. Looks up model rates, costs a described workload, and finds cheaper models that score at or above a given one. Local, no API key.

Provides Large Language Models with real-time access to the latest documentation for Python libraries like Langchain, LlamaIndex, and OpenAI, enabling accurate and up-to-date code suggestions.

An MCP server that enables AI agents to verify facts, check market and on-chain data, search the web, and run AI text tasks through five general-purpose tools, with pay-per-call USDC settlement on Base via x402 and no API key required.

Enables semantic search across multiple AI library documentations to keep coding assistants up-to-date.

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

Memory for AI agents that keeps every claim with the source it came from, the date it was asserted, and a confidence you can re-weight per source, so your agent can say where a fact came from. Updates supersede or retract instead of overwriting, so you can replay what the store believed on any past date and review contradictions as lint findings.

Enables read-only exploration of a Spot AI organization through the camera/video-intelligence REST API, so users can list locations, cameras, appliances and zones, query counting, idle, presence and license-plate events over a date range, and generate live-stream viewing URLs. Includes a generic GET escape hatch for any documented endpoint, with API keys resolved lazily from an environment variable or secret-helper command.