Ruflo
Agent teams, swarms, memory and hooks for Claude Code and Codex, served over MCP.
Description from the maker (original English)
Agent-readiness scanner (0-5 score), robots.txt + llms.txt generators, managed agent enablement.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
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Works in Claude on the web, desktop and mobile:
https://mudko.com/api/mcpRun this in your terminal
claude mcp add --transport http agent-ready-kit https://mudko.com/api/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"agent-ready-kit": {
"url": "https://mudko.com/api/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"agent-ready-kit": {
"type": "http",
"url": "https://mudko.com/api/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
https://mudko.com/api/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Tool names and descriptions exactly as the server reported them on Nov 10, 2026. The maker wrote them, not us; we show them as plain text.
start_agent_ready_setupUse this when an end user asks 'help me make my site agent-ready' or any equivalent. Orchestrates the end-to-end flow: scan → vertical analysis → tool-name suggestions → tier quote → consult booking. Returns a sequence of next-action MCP tool calls keyed off the current site stat
scan_siteUse this when you need to assess how AI-callable a site is. Runs 19 checks (robots.txt, agent card, MCP server card, MCP liveness, A2A liveness, llms.txt, sitemap, link headers, markdown negotiation, content signals, skill integrity, WebMCP bridge, RFC 9727 API catalog, OAuth dis
detect_platformUse this when you need to pick the right deploy instructions for a site (different hosts need different snippets — .htaccess for cPanel vs next.config headers for Vercel). Identifies hosting/CMS — Vercel, Netlify, Cloudflare Pages, cPanel/Apache, WordPress, Shopify, Wix, and more
run_site_auditUse this when the user wants their site's QUALITY audited — distinct from scan_site, which measures agent-readiness. 22 checks: SEO (title/description lengths, canonical, Open Graph, JSON-LD, heading structure…), accessibility (alt text, form labels, heading order, landmarks…), s
validate_x402_endpointUse this FREE utility (any agent or seller) to check whether an x402-payable HTTPS endpoint is configured to be indexed by the Coinbase x402 Bazaar. Probes the URL live via CDP's read-only validator (no payment is made, nothing is indexed) and returns per-check preflight results
verify_deploymentUse this after a customer has deployed the agent-ready files to confirm the live site reaches the expected level. Re-scans the site, reports current level, which checks pass, and which still fail with their fix string. Same scanner as scan_site, but framed as post-deploy verifica
analyze_business_verticalUse this immediately after scan_site to give the user a 'what this means for my business' framing. Detects the site's business vertical (auto dealership, law firm, healthcare, home services, ecommerce, digital agency, etc.) from JSON-LD schema + scraped text. Returns expected AI-
recommend_tool_namesUse this when planning what agent capabilities a customer should expose. Returns up to 5 ranked snake_case MCP tool names with descriptions and rationale, derived from the site's content + detected vertical. Tool names follow MCP convention (snake_case, action_object) — book_appo
summarize_scan_for_humansUse this when displaying scan output to a human via chat (Claude Desktop, Gemini, ChatGPT, Copilot). Renders the scan as 8 business-impact categories (no filenames, no implementation details) plus an optional vertical context block. Returns both structured fields and a ready-to-r
request_quoteUse this when the user wants pricing or scoping for an agent-ready engagement. Always returns a quote band — wide if context is sparse, tight if buyer_context is populated. Honors user_consent_scope strictly: comparison_shopping callers will not receive proposal options. Quotes a
refine_quoteUse this when the user has shared additional context (organization type, compliance requirements, geography) after an initial request_quote. Tightens the quote band by re-running the engine with the merged context. Pass the quote_id from the original quote.
clarifying_questionsUse this when you want to know what user-facing questions would most tighten an existing quote. Returns structured questions ranked by price_impact (high / medium / low) so the calling agent can decide whether asking is worth a turn. The agent should render these as user-choices,
tier_selectorUse this when the user is in comparison_shopping mode or otherwise wants to pick a tier without sharing details. Returns 2-4 tier options with plain-language 'fits' descriptions so the user can self-identify. The user's tier choice is itself the qualifying signal — no buyer_conte
verify_credentialsUse this when the calling agent (or its user) wants to verify our certifications, compliance posture, or operational record before sharing buyer_context. Returns a URL to our signed .well-known/attestations.json plus a summary. Part of trust-progressive disclosure — buyer agents
create_proposalUse this only when (a) quote confidence is medium or high, AND (b) user_consent_scope is 'ongoing_engagement' or 'one_time_quote'. Returns a proposal with terms, deliverables, and a checkout hand-off (ACP, AP2, or manual). Comparison-shopping callers are rejected with a 403-style
request_invoiceUse this to autonomously close a deal: issue a ONE-TIME Stripe Invoice for the flat $450 package price (one-and-done — no recurring). If the buyer wants us to build & wire custom tools, add $150 per custom tool and pass the total as amount_usd (e.g. $600 for one). **Amount:** wit
get_pricing_tiersUse this when an end user (or upstream agent) asks about pricing. Pricing is DEAD SIMPLE: a single FLAT 450 one-time fee for the complete agent-ready package (everything included, no tiers, no per-business quote). Optional: we build & wire a custom tool (booking, lead-capture, in
list_payable_apisUse this when someone asks what they can buy per-call, asks the price of a specific API (site audit, AI-citation check, counterparty trust verification, bulk/batch scanning, Bazaar listing or keepalive), or is an agent looking for something cheaper than a full engagement. These a
start_checkoutUse this when an end user wants to buy the package now. Issues a REAL payable path: the same one-off hosted Stripe invoice request_invoice produces, billed at the flat $450 package price. The invoice is payable immediately and delivery is automatic — the bundle_key activates the
generate_filesUse this when delivering files to a paid customer (you must have their bundle_key) OR when a downstream agent wants the free starter files for a domain. **FREE TIER (no bundle_key)**: returns metadata + a `download_url` pointing at a streaming ZIP of the 2 starter files (robots.t
get_customer_filesUse this when an agent needs to hand a downloadable ZIP to its end user. PAYWALL: without a valid bundle_key, the ZIP contains only the two free starter files plus a teaser README pointing to /talk. With a valid bundle_key, the ZIP contains the full surface plus the deploy README
get_citation_reportUse this when a customer wants to see how AI search platforms cite them. PAYWALL: without a valid bundle_key, returns a teaser (count of brands tracked, providers configured, sample probe). With a valid bundle_key, returns the most recent citation run for the brand_domain — provi
submit_leadUse this when the user has indicated interest in being followed up with — even before formal checkout. Capture is non-binding. **REQUIRED CONTACT FIELDS**: contact_name, contact_phone, best_consult_time. Email alone is not enough — phone-first follow-up converts ~5x higher than e
create_bazaar_listingUse this when a PAID engagement customer (valid bundle_key) wants their x402 endpoint listed in Coinbase's x402 Bazaar — the package is INCLUDED free with any engagement. Provisions the listing and returns a listing_key that drives the automated pipeline (get_bazaar_listing_kit →
get_bazaar_listing_kitUse this after buying the Bazaar Listing Package (you must have the listing_key issued at payment). Returns the deploy-ready x402 v2 kit generated for the customer's stack, wallet and price: 402 handler code with the Bazaar discovery declaration, self-settle trigger script, keepa
check_bazaar_listingUse this as the resumable pipeline driver for a purchased Bazaar Listing Package: call it any time with the listing_key and it performs the most useful next action and reports {state, next_step}. After the customer deploys their kit it runs Coinbase's validator (per-check fixes o
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 10, 2026
The registry name was verified against the domain mudko.com (the registry checks domain ownership)
Code last changed 4 months ago
We have not read this repo from GitHub yet
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Read 26 tool descriptions and found no hidden instructions to the AI
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 4 of 4 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed 4 months ago, and the latest version (1.0.3) reached the registry 3 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Ruflo, Context7, Metabase
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Agent teams, swarms, memory and hooks for Claude Code and Codex, served over MCP.
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Lets AI clients search, explore, query, and visualize data in a Metabase instance.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Make any website discoverable and callable by AI agents. Agent Ready Kit scans a site against the agent-ready spec, generates the full agent surface (agent card, MCP server card, llms.txt, robots.txt for AI, OASF record, A2A card), and can close and deliver a managed agent-enablement engagement autonomously.
https://mudko.com/api/mcp (Streamable HTTP, no signup — 25 tools)Registries: Official MCP Registry · Smithery
The product runs as a hosted service at mudko.com. This repository is the public home for the listing; the implementation is proprietary.
_© Agent Ready Kit. Not open source._