"Finding businesses on Google that need a website" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Never let your agent repeat a bug or linger on a known issue. Search 385+ failure lessons to skip known errors instantly.
Can AI actually read your page? ChatGPT, Perplexity and other answer engines fetch pages very differently from your browser. Paste a URL — Lekta fetches it exactly the way they do and grades it A+ to F, with the spec or measurement behind every finding.
Domain security reconnaissance tools for AI agents via Model Context Protocol. 13 security tools — DNS, SSL, HTTP headers, email auth, port scan, propagation, reverse DNS, ASN/BGP, RDAP/WHOIS, subnet calc, and comprehensive security scan — callable from Claude Desktop and any MCP-compatible AI agent. Part of DechoNet. Every tool here is also a free web tool at dechonet.com — no sign-up, no API key — backed by error-fix guides. This package brings the same checks to AI agents.
Publish what your agent just made to a public HTTPS link. Pass the content — a page, a report, a deck — and get a live URL that keeps working with no machine online, plus password protection, credential rotation and takedown. 8 tools. The local companion (npm i -g @servelink/serve) adds tunnels to a running dev server.
Check if a task runs locally vs cloud. Save money on calls that don't need cloud inference.
Living docs and MCP context for GitHub repos — conventions, gaps, and source-cited pages on merge.
Shared error→fix knowledge base for AI coding agents. Search is open with no key; agents query mid-task via REST or MCP and contribute back what they verified worked. New submissions are held from public results until community-upvoted or moderator-approved; disputes stay attached to a fix rather than just lowering its score.
Deploy static sites from AI agents: deploy_site publishes files and returns a live URL in seconds.
Finds real, maintained open-source repos that fit your project. MCP grounding for coding agents.
Connect to the MCP Studio SDK MCP server. This server is connected to two sources: the MCP Studio SDK documentation and the GitHub sample application repos. These resources are great for individuals looking to embed MCP Studio SDK into their web applications, and need an easy way to connect to an MCP server that has access reliable resources for AI-assisted engineering workflows.
Generate and read PDFs for AI agents: a generate_pdf and a read_pdf tool, priced per document.
PDF engagement layer for apps and agents: tracking links, read analytics, and a full PDF toolset.
Visual website feedback your coding agent applies: pin change requests on the live site over MCP.
Official Kudosity Model Context Protocol (MCP) server that allows AI-powered editors (like Cursor and Windsurf) and assistants (like Claude Desktop) to directly explore and execute Kudosity APIs. With MCP, your AI can search API specs, generate code snippets, and run live requests; all without leaving your development environment.
Provides a platform-agnostic specification of the technical features every decent website should have
Build, validate, deploy — HTTP APIs, cron jobs, webhooks and MCP tools — from your AI client. Air Pipe MCP token as a bearer credential, e.g. 'Authorization: Bearer <token>'. Create one at https://app.airpipe.io/
Score any URL against a real design contract — 42 checks, A-F grade, token + motion validation.
Search and read the StitchAPI docs: search_docs finds relevant sections, get_doc reads a page.
The PropelAuth Integration MCP Server helps you and your favorite AI agent integrate PropelAuth as quickly and easily as possible into your project. Whether you're integrating PropelAuth into your Next.js project or your FastAPI backend, the Integration MCP Server will ensure your AI agent has the best context possible for a successful integration.
Find and vet x402 payment APIs before your agent pays one: uptime, price, on-chain volume.
