"author:arhancanli" matching MCP servers:

Searches US product recalls across CPSC, FDA, and NHTSA in one call, matching by name, brand, model number, UPC, or VIN with confidence scoring.

Finds the clearest Sentinel-2, Landsat, Sentinel-1, or NAIP scene for any location and time, ranked by area coverage, cloud cover, and date, with previews and band download links.

A full finance desk for your AI agent: 355 tools in one free server with no API key, reading SEC filings, earnings guidance, insider trades, options, rates and macro data from the source, plus quant analytics and backtest validation. The agent sees 5 tools and searches the rest, so it stays light on context.

Answers medication questions from official FDA labels with section citations, resolves drug names via RxNorm, and reports FDA recalls and shortages.

Enables agents and users to explore 117 open benchmark problems, check candidate certificates against exact offline sandboxed checkers, compare values to best-known records, and retrieve verified results, replays, and citations. Every check yields a verdict and exact value, never an estimate.

Enables AI assistants to search and read an open quant research record: papers, topics, killed candidates, trial counts, live paper-trading sleeves, and a tamper-evident chain head. It provides six read-only tools over public CDN files, returning each source's stated limits alongside paper-execution-only caveats.

Enables AI agents to retrieve and cross-check public market, company, filing, economic, and alternative data from primary sources, including SEC filings, financial statements, screening, insider activity, options, prediction markets, DeFi metrics, and central-bank and macroeconomic series. Results include source URLs and evidence so answers can be cited and verified.

Enables AI assistants to look up SEC company fundamentals point in time: what a company first reported, what was known on any given date, and which values were later restated, with the filing behind each value. Supports querying history over time, tracing every vintage of a period, and resolving measures such as revenue or EPS across the XBRL tags a company has used.