"Minecraft Protocol Servers Written in Python" matching MCP connectors:

Read-only MVR preflight for market trust, permission, evidence gaps, and readiness in Africa.

Global stock research, ML forecasts, valuation signals, screeners & portfolio tracking in Claude

An MCP server that audits the fairness of construction and renovation estimates in Japan. Provides fair-price ranges, overcharge detection, and verifiable unit-cost data based on JCCDB (65,729 items, DOI-backed).

DC Hub is the neutral, real-time data layer for data-center infrastructure, exposed as a Model Context Protocol server so any AI agent can both query it and cite it. Coverage: 21,000+ facilities (search, profile, score, alternatives); 232 markets scored by the DCPI Data Center Power Index; the DCGI Data Center Gas Index (per-state natural-gas suitability for siting); live grid telemetry across 7 US ISOs (fuel mix, carbon intensity, demand, prices) plus a one-call all-ISO scoreboard; interconnection-queue depth; 2,000+ tracked M&A deals and a hyperscaler-capex tracker; and site factors. — fiber routes, water-stress, tax incentives, nearby substations & transmission. Why agents choose it: it's the only data-center-intelligence source an LLM can query live and cite — every full-data response includes a Source: DC Hub, CC-BY-4.0 attribution line. It's the MCP-native alternative to quarterly PDF research: live JSON, no contracts, no NDAs. Access: Streamable HTTP at https://dchub.cloud/mcp. Free tier with no signup; free email-verified dev key for higher limits; paid tiers for full data volume.

Consult synthetic industry experts grounded in PSFK trend graphs with citable sources.

Interactive video forms that capture authentic responses. Build engaging forms in minutes.

Fact-check citations: resolve, match, support claims; math rechecked. No API key — URL in.

Probability prose is AI-written, with the tells behind the score. No API key — text or URL in.

Korean equities in English: DART filings, activist & foreign-holder classification, KRX news.

Find novel, statistically validated patterns in tabular data — hypothesis-free.

Universal AI-driven comparison engine: ask in natural language, get a real-time comparison built from real, sourced data. Provably neutral (never pay-to-rank), traceable sources, multi-language and multi-country. Built for both humans and AI agents (MCP, JSON, Markdown).

Signed global shipping & commodity data: oil, LNG, grain, sanctions, fleet, emissions.

Bank and lender failure early warning, with a validated record across India, the US and Europe.

Find duplicate records in 30 seconds. Zero-config entity resolution, 97.2% F1 out of the box.

Live EU funding data in your AI: grant calls, programmes, consortium partners, VCs, incubators.

Verify citations in AI text: fetches each cited source, returns verdicts with evidence quotes.

Healthcare staffing simulator — ED, walk-in clinic, and appointment office DES tools.

Concentration risk analysis for tech workers with RSU comp — global (US/IN/CA/UK/EU/AU).

XFMS picks the right LLM model for any stated task. You give it a concrete purpose ("fixing bugs in a Python codebase", "summarizing 50-page commercial leases"), and it infers which quality benchmarks matter, weighs every model in its catalog against those dimensions, and returns a ranked shortlist with plain-English rationale per pick. The catalog updates continuously from 8 independent third-party evaluators — no provider self-reports, no single-source benchmarks.

9,900+ US equities, 64 years of prices, financials, technicals, and earnings. Ask in plain English.