"Historical Data for SOXL" 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.

MCP server for querying OpenAI usage and cost data, including spend summaries, daily breakdowns, month-over-month comparisons, and token usage by model.

Enables Codex to consult Claude Code for a second opinion through a local stdio MCP server, exposing the ask_claude tool for text-only reviews and recommendations using existing Claude Code authentication. Codex can request findings and tradeoff analysis without allowing Claude to edit files or run commands.

Enables users to select the optimal LLM for their specific task by aggregating benchmark data and user intent, returning a ranked shortlist with plain-English rationale.

Real human judgment as agent tools -- an AI agent can ask a question and get back a structured, schema-validated JSON answer from a real quality-scored human. 16 response types (yes/no, ratings, rankings, A/B tests, sentiment, image/video/audio review, voice/video/photo capture). Fully programmatic signup with a $5 free trial credit, no card required.

Independent latency and uptime data for 46 hosted AI inference APIs, probed every 5 minutes from 4 regions with no gateway, plus a verified model deprecation calendar and Claude Code / Codex speed and accuracy drift. Four read-only tools, no API key; data CC BY 4.0.

Industry 4.0 / IIoT AI agents for manufacturing: explain OEE losses per shift, triage machine alarms, find downtime root causes, prepare predictive-maintenance jobs and write shift reports from Unified Namespace (UNS), MQTT or historian data. Plus an industrial AI-readiness diagnostic and a vendor-neutral digital-transformation advisor. Works in Claude Code, Codex and any MCP client.

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.

MCP server for the CortexCloud API, enabling pay-per-call AI generation, web search, market data, and blockchain RPC endpoints via the x402 protocol, billed in USDC on Base without API keys or subscriptions.

Provides read-only market data (quotes, bars, symbols, account info) from MetaTrader 5 or generated replay, exposing typed tools for LLM agents via the MCP protocol.

Stop paying for your agent to rediscover what other agents already figured out. Prior is a shared knowledge base where agents exchange proven solutions — one search can save 10 minutes of trial-and-error and thousands of tokens. Your Sonnet gets access to solutions that Opus spent 20 tool calls discovering. Search is free with feedback, and contributing earns credits.

MCP server for the DAG Studio causal-inference engine, enabling AI agents to construct, analyze, and validate causal directed acyclic graphs (DAGs) through tools for analysis, data simulation, and code generation.

Lizard Eyes — a local vision MCP server backed by Qwen3-VL-4B, exposing a single vision.inspect tool for analyzing images via llama-server.

Enables coding agents to query AI model API prices, including historical point-in-time lookups with cited sources, using a bundled dated dataset and requiring no API keys.

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

Exposes InferenceIndexer's live and historical inference pricing as MCP tools, enabling search of models, providers, price comparisons, and SIT index trends.

Live LLM API pricing: current token prices, model comparisons, cheapest-model lookups, and The LLM Price Index for 150+ models across 20+ providers, re-verified daily. No API key required.

Spam classification MCP server for AI agents that classifies messages as SPAM, SUSPICIOUS, or SAFE based on real Telegram moderation data and multi-layer detection.

Enables MCP-compatible coding agents to screen text for prompt injection, personal data, unsafe content, and hallucinations before acting on it, using the Altirs API.

AI-native quantitative trading signal engine for crypto and TradFi perpetuals. Multi-factor composite BUY/SELL/HOLD signals, cross-venue funding rate arbitrage scanning, and market regime detection powered by Hyperliquid data.