"How to describe web content using a URL" matching MCP connectors:

Share prototypes for team review: publish HTML, reviewers pin notes, pull feedback back to apply.

400+ pay-per-call tools + 100 skill packs. USDC on 8 chains, or free via PoW.

First German florist with a public MCP server. Search bouquets and order flowers via AI in Munich.

Reassign: a circular 24-hour calendar and time-tracking copilot with ADHD-friendly scheduling.

AI URL safety validator: SAFE/SUSPICIOUS/DANGEROUS verdict, trust score, threat intel.

Generate and read PDFs for AI agents: a generate_pdf and a read_pdf tool, priced per document.

Intake desk for AI agents: bridges construction quotes to KIRA fair-price audit and EHN check.

Generate PDF/DOCX/XLSX/PPTX from templates+JSON. Convert Office/HTML/MD to PDF. Universal templating

Is a wallet frozen by Tether/Circle? Free freeze checks + full history, screening & KYT. 9 chains.

Self-hostable team wiki; agents read & write it via MCP; Atlas turns your repo into a cited wiki.

CometChat docs search + implementation bundles: add chat, voice, video & moderation to your app.

Search 30,000+ decided U.S. security-clearance (DOHA) decisions: cases, outcomes, statistics, and timelines, with a citable link for every answer. CASE is the searchable public record of DOHA industrial security-clearance decisions from 1996 to the present, refreshed nightly.

Latvian law search: in-force statutes, verbatim articles, verified Q&A. Anonymous, read-only.

Build personal interactive apps with real URLs and persistent storage, using any AI.

AI Visibility and Content Intelligence tools for Claude and MCP-compatible agents.

Agent-first onboarding to Smarter Weather: plans, docs, signup, API keys, MCP config, billing.

A complete color workflow over MCP: mix, convert, harmonize, measure, and remember palettes.

AppDeploy turns app ideas described in AI chat into live full-stack web applications

Connect AI to millions of laws and court cases with the Lawstronaut MCP.

Prompt evals over MCP: run a prompt on your dataset, score each output 1-5 with an LLM judge.