MCP server that turns DOI, URL, or paper titles into structured Markdown full-text with metadata and assets, enabling AI agents to read beyond abstracts.
A fault-tolerant, stealth-enabled Model Context Protocol (MCP) server for web searching and content fetching. Built for AI Agents (Cursor, Claude Code, OpenCode), it uses a stealth browser engine to fetch pages, dynamically handles SPAs/React, and converts bloat into token-optimized Markdown.
A deterministic eval engine for coding agents. Your agent claims it fixed the bug—this checks it. The same scenario runs twice against a sandbox of the services your code calls, with failures injected on purpose. It must fail on the old code and pass on the new. The verdict is an exit code, not a model's opinion. Every run leaves a receipt.
Gives local and cloud LLMs live web grounding as four MCP tools: web_search, fetch, deep_search (a token-capped, cited evidence pack sized to a small context window), and research (an agentic search-and-read loop). Flat monthly pricing, no query content stored.
Public read-only registry for Codex-compatible animated companion packs. Search approved pets, fetch install instructions, generate badges and embed cards, and discover the pet request flow via Streamable HTTP MCP.
Enables MCP clients to fetch official published exchange rates from 60+ central banks and tax authorities, with point-in-time lookup, history, and cross-bank comparison.
Enables AI assistants to fetch real-time cryptocurrency market data including prices, tickers, exchange data, and OHLCV candles from CoinPaprika with zero configuration.
Enables natural language queries of the Chrome UX Report API to fetch Core Web Vitals (LCP, INP, CLS, FCP, TTFB), compare form factors, benchmark pages against site averages, and analyze up to 40 weeks of performance trends.
MCP server that integrates Google News and Google Trends, enabling AI models to fetch news, analyze search interest, calculate growth rates, and summarize articles.
Local Ethereum wallet for AI agents — read balances and history, request payments that a human approves by password in the app popup, and fetch x402-paywalled resources with USDC on Base. Keys are encrypted on-device and never leave your Mac.
docshelf-mcp manages AI-friendly document collections — converts PDFs and Markdown into chapter-split shelves with a single navigation INDEX, so AI agents can fetch only the relevant section by raw URL instead of choking on a 4 MB datasheet.
Repo: https://github.com/ignatenkofi/docshelf-mcp
Enables MCP-wired agents to fetch live, historical, or proof-backed Base-mainnet asset prices signed with ML-DSA-65 and anchored to Hedera, automatically handling x402 USDC payments; it also lists the provider's available x402 services.
Enables managing Google Business Profiles through natural language: list locations, reply to reviews, create local posts, and fetch performance metrics.
YouTube transcripts as token-efficient AI context. One fetch, cached. No yt-dlp, no API keys, no system dependencies. ~50 KB per video, instant re-reads from local cache.
MAC-address (OUI) vendor lookup and router default-login directory for AI agents, backed by ssid.ai. Identify a device manufacturer from its MAC address, detect randomized/private addresses instead of reporting unknown, or fetch a router's default login IP and admin credentials — every field cited to the manufacturer's own documentation