AIReady MCP

AIReady provides MCP tools to scan and fix a website's AI discoverability. It checks AI crawler access via robots.txt, verifies llms.txt and sitemap presence, audits schema.org structured data, and generates fixes like AI-specific robots.txt rules, starter llms.txt files, and JSON-LD snippets to help AI assistants find, read, and cite the site.

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Endpoint and access

No sign-in to connect and list tools. Individual tools may still need a vendor account, credentials, or permissions; check the documented prerequisites.

Community listingStreamable HTTPNo sign-inEndpoint checked 2026-11-07Published by MagicTeams

MCP endpoint (Streamable HTTP)

https://ai-ready.magicteams.ai/mcp

Vendor documentation

What its tools do

5 tools, grouped by the hints the server advertises. Hints are self-declared, not verified behavior.

5 of 5 have a description · 5 of 5 declare behavior hints · 4 of 4 with parameters document them all

Checks and signals

Each line is separate evidence, not a trust score.

Passed Endpoint answered the live check · Nov 7, 2026, 12:54 AM UTC
Availability 1 of 1 checks passed in 30 days

What you can do with it

Scan a website's AI search visibility and crawler access
Generate robots.txt rules for AI crawlers
Draft a starter llms.txt file
Generate schema.org JSON-LD snippets

Source and maintenance

Community listingRegistry 1.0.0

mcp-registry: io.github.everyai-com/ai-ready@1.0.0 Source repository

Maintenance checked: Nov 7, 2026, 12:20 AM UTC

Protocol and capabilities

Server: ai-ready 1.2.0
MCP protocol negotiated in check: 2025-11-25
Tools: 5 advertised
Resources: Not advertised
Resource templates: Not advertised
Prompts: 3 advertised

Server-advertised capabilities

{
  "tools": {
    "listChanged": false
  },
  "prompts": {
    "listChanged": false
  }
}

Server-provided instructions

Untrusted server output shown for inspection. It is not Koskamo guidance and is excluded from knowledge search.

AIReady checks and fixes how visible a website is to AI assistants and AI search (ChatGPT, Claude, Perplexity): AI crawler access in robots.txt, llms.txt, sitemap, schema.org structured data and Content Signals. When a user asks about SEO, GEO/AEO, AI search, or why an AI assistant does not mention or cite their site, and gives a domain, start with check_ai_readiness. Then offer to write each fix it lists with the tool named in fix_with: robots_txt_for_ai for crawler rules, llms_txt_draft for llms.txt, schema_jsonld_sample for JSON-LD. Use crawler_policy_guide when they are deciding which AI bots to allow. Reads public files only and never changes a site. Informational, not legal advice.

Tools

5 advertised

check_ai_readiness — Check AI readiness

Advertised by the server during the last successful anonymous check.

Advertised read-onlyOpen-world

Live scan of one website's AI search visibility (GEO/AEO, SEO for AI assistants): can ChatGPT, Claude and Perplexity crawl, read and cite it? Fetches the domain's /robots.txt, /llms.txt, /sitemap.xml and homepage, then returns a 0-100 score, grade, per-crawler allow/block status and prioritized fixes, each naming the AIReady tool that writes the fix. Use whenever a user names a site and asks about SEO, AI search or being found or cited by AI. Do NOT use for general advice on which bots to allow (use crawler_policy_guide) or to write new rules (use robots_txt_for_ai).

check_ai_readiness input schema

{
  "type": "object",
  "required": [
    "domain"
  ],
  "properties": {
    "domain": {
      "type": "string",
      "description": "Public domain or URL to scan, e.g. example.com or https://example.com/page (path is ignored; no IPs, ports or localhost)."
    }
  }
}

check_ai_readiness output schema

{
  "type": "object",
  "required": [
    "domain",
    "score",
    "grade",
    "checks",
    "crawler_access",
    "findings",
    "generated",
    "fetched",
    "disclaimer"
  ],
  "properties": {
    "grade": {
      "enum": [
        "A",
        "B",
        "C",
        "D"
      ],
      "type": "string",
      "description": "Letter grade: A >= 85, B >= 70, C >= 50, otherwise D."
    },
    "notes": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Caveats about this scan, e.g. www. fallback used or requests refused by the site."
    },
    "score": {
      "type": "integer",
      "maximum": 100,
      "minimum": 0,
      "description": "Weighted readiness score 0-100 (pass = full weight, warn = half)."
    },
    "checks": {
      "type": "array",
      "items": {
        "type": "object",
        "required": [
          "id",
          "name",
          "status",
          "weight",
          "detail"
        ],
        "properties": {
          "id": {
            "enum": [
              "search_bots_allowed",
              "llms_txt",
              "sitemap",
              "structured_data",
              "meta",
              "content_signals",
              "https"
            ],
            "type": "string"
          },
          "name": {
            "type": "string"
          },
          "detail": {
            "type": "string"
          },
          "status": {
            "enum": [
              "pass",
              "warn",
              "fail"
            ],
            "type": "string"
          },
          "weight": {
            "type": "number"
          }
        }
      },
      "description": "Individual checks with pass/warn/fail status and weight."
    },
    "domain": {
      "type": "string",
      "description": "Normalized host name that was scanned, e.g. example.com."
    },
    "fetched": {
      "type": "object",
      "required": [
        "robots",
        "llms",
        "sitemap",
        "homepage"
      ],
      "properties": {
        "llms": {
          "type": "object",
          "required": [
            "status",
            "bytes"
          ],
          "properties": {
            "bytes": {
              "type": "number"
            },
            "status": {
              "type": "number"
            }
          },
          "description": "llms.txt fetch result."
        },
        "robots": {
          "type": "object",
          "required": [
            "status",
            "bytes",
            "truncated"
          ],
          "properties": {
            "bytes": {
              "type": "number"
            },
            "status": {
              "type": "number"
            },
            "truncated": {
              "type": "boolean"
            }
          },
          "description": "robots.txt fetch result."
        },
        "sitemap": {
          "type": "object",
          "required": [
            "status",
            "bytes"
          ],
          "properties": {
            "bytes": {
              "type": "number"
            },
            "status": {
              "type": "number"
            }
          },
          "description": "sitemap.xml fetch result."
        },
        "homepage": {
          "type": "object",
          "required": [
            "status",
            "bytes"
          ],
          "properties": {
            "bytes": {
              "type": "number"
            },
            "status": {
              "type": "number"
            }
          },
          "description": "Homepage fetch result."
        }
      },
      "description": "HTTP status and byte size of each fetched file (status 0 = network error)."
    },
    "findings": {
      "type": "array",
      "items": {
        "type": "object",
        "required": [
          "check",
          "priority",
          "detail"
        ],
        "properties": {
          "check": {
            "type": "string"
          },
          "detail": {
            "type": "string"
          },
          "fix_with": {
            "enum": [
              "robots_txt_for_ai",
              "llms_txt_draft",
              "schema_jsonld_sample"
            ],
            "type": "string",
            "description": "AIReady tool that generates the fix, when one applies."
          },
          "priority": {
            "enum": [
              "high",
              "medium"
            ],
            "type": "string"
          }
        }
      },
      "description": "Non-passing checks as fixes; fail = high priority, warn = medium."
    },
    "generated": {
      "type": "object",
      "required": [
        "robots_snippet_to_unblock_search_bots",
        "llms_txt_hint"
      ],
      "properties": {
        "llms_txt_hint": {
          "type": "string",
          "description": "Pointer to llms_txt_draft and the publish URL."
        },
        "robots_snippet_to_unblock_search_bots": {
          "type": [
            "string",
            "null"
          ],
          "description": "robots.txt lines allowing blocked visibility-critical bots, or null if none are blocked."
        }
      },
      "description": "Ready-made fix snippets derived from the scan results."
    },
    "disclaimer": {
      "type": "string",
      "description": "Informational disclaimer: crawler behaviour can change, verify against provider docs."
    },
    "crawler_access": {
      "type": "array",
      "items": {
        "type": "object",
        "required": [
          "bot",
          "owner",
          "purpose",
          "visibility_critical",
          "access",
          "advice"
        ],
        "properties": {
          "bot": {
            "type": "string"
          },
          "owner": {
            "type": "string"
          },
          "access": {
            "enum": [
              "allowed",
              "blocked",
              "no-rule"
            ],
            "type": "string"
          },
          "advice": {
            "type": "string"
          },
          "purpose": {
            "type": "string"
          },
          "visibility_critical": {
            "type": "boolean"
          }
        }
      },
      "description": "Access verdict for each known AI crawler under the site's robots.txt."
    }
  }
}

check_ai_readiness annotations

{
  "title": "Check AI readiness",
  "readOnlyHint": true,
  "openWorldHint": true,
  "idempotentHint": false,
  "destructiveHint": false
}

crawler_policy_guide — Crawler policy guide

Advertised by the server during the last successful anonymous check.

Advertised read-only

Static reference of 15 known AI crawlers and control tokens (GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot, Google-Extended...): owner, purpose, whether each drives AI citations or training, plus rules of thumb. Use to decide which bots to allow or block. No site is fetched. Do NOT use to audit a real site (use check_ai_readiness) or to produce rules (use robots_txt_for_ai).

crawler_policy_guide input schema

{
  "type": "object",
  "required": [],
  "properties": {}
}

crawler_policy_guide output schema

{
  "type": "object",
  "required": [
    "crawlers",
    "by_purpose",
    "rules_of_thumb",
    "disclaimer"
  ],
  "properties": {
    "crawlers": {
      "type": "array",
      "items": {
        "type": "object",
        "required": [
          "bot",
          "owner",
          "purpose",
          "ua",
          "visibility_critical",
          "advice"
        ],
        "properties": {
          "ua": {
            "type": "string"
          },
          "bot": {
            "type": "string"
          },
          "owner": {
            "type": "string"
          },
          "advice": {
            "type": "string"
          },
          "purpose": {
            "type": "string"
          },
          "visibility_critical": {
            "type": "boolean"
          }
        }
      },
      "description": "Reference row per known AI crawler or control token."
    },
    "by_purpose": {
      "type": "object",
      "required": [
        "want_ai_visibility",
        "training_controls"
      ],
      "properties": {
        "training_controls": {
          "type": "array",
          "items": {
            "type": "string"
          },
          "description": "Bots whose purpose includes model training."
        },
        "want_ai_visibility": {
          "type": "array",
          "items": {
            "type": "string"
          },
          "description": "Bots to keep allowed for AI search/citations."
        }
      },
      "description": "Bot names grouped by why you would allow or block them."
    },
    "disclaimer": {
      "type": "string",
      "description": "Informational disclaimer: crawler behaviour can change, verify against provider docs."
    },
    "rules_of_thumb": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Short guidance on allowing/blocking AI crawlers."
    }
  }
}

crawler_policy_guide annotations

{
  "title": "Crawler policy guide",
  "readOnlyHint": true,
  "openWorldHint": false,
  "idempotentHint": true,
  "destructiveHint": false
}

robots_txt_for_ai — Generate robots.txt for AI

Advertised by the server during the last successful anonymous check.

Advertised read-only

Generate robots.txt User-agent rules for all known AI crawlers from a chosen policy (max_visibility, search_only, block_training, block_all_ai), with optional Content-Signal and Sitemap lines, to paste into an existing robots.txt. Use when writing AI crawler rules. Do NOT use to check a live site's current rules (use check_ai_readiness) or for bot background (use crawler_policy_guide).

robots_txt_for_ai input schema

{
  "type": "object",
  "required": [
    "policy"
  ],
  "properties": {
    "policy": {
      "enum": [
        "max_visibility",
        "search_only",
        "block_training",
        "block_all_ai"
      ],
      "type": "string",
      "description": "AI policy preset: max_visibility = allow every AI bot; search_only or block_training = allow search/answer bots, block training crawlers (same output); block_all_ai = disallow every known AI bot."
    },
    "sitemap_url": {
      "type": "string",
      "description": "Optional absolute sitemap URL appended as a Sitemap: line, e.g. https://example.com/sitemap.xml."
    },
    "content_signals": {
      "type": "boolean",
      "description": "Append a Content-Signal line (search / ai-input / ai-train) matching the policy. Default true; pass false to omit."
    }
  }
}

robots_txt_for_ai output schema

{
  "type": "object",
  "required": [
    "policy",
    "robots_txt",
    "notes",
    "disclaimer"
  ],
  "properties": {
    "notes": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Guidance on merging and interpreting the rules."
    },
    "policy": {
      "enum": [
        "max_visibility",
        "search_only",
        "block_training",
        "block_all_ai"
      ],
      "type": "string",
      "description": "The policy preset the rules were generated for."
    },
    "disclaimer": {
      "type": "string",
      "description": "Informational disclaimer: crawler behaviour can change, verify against provider docs."
    },
    "robots_txt": {
      "type": "string",
      "description": "Generated robots.txt text block, newline-terminated."
    }
  }
}

robots_txt_for_ai annotations

{
  "title": "Generate robots.txt for AI",
  "readOnlyHint": true,
  "openWorldHint": false,
  "idempotentHint": true,
  "destructiveHint": false
}

llms_txt_draft — Draft llms.txt

Advertised by the server during the last successful anonymous check.

Advertised read-only

Draft a starter llms.txt (Markdown: # name, > one-line summary, key page links, contact) from business details, to publish at the site root so AI agents get a curated summary. Use when a site has no llms.txt. Do NOT use for crawler access rules (use robots_txt_for_ai) or schema.org markup (use schema_jsonld_sample).

llms_txt_draft input schema

{
  "type": "object",
  "required": [
    "business_name",
    "description"
  ],
  "properties": {
    "key_pages": {
      "type": "array",
      "items": {
        "type": "object",
        "required": [
          "title",
          "url"
        ],
        "properties": {
          "url": {
            "type": "string",
            "description": "Absolute page URL, e.g. https://example.com/services."
          },
          "note": {
            "type": "string",
            "description": "Optional short note shown after the link, e.g. Pricing and areas served."
          },
          "title": {
            "type": "string",
            "description": "Link text, e.g. Services."
          }
        }
      },
      "description": "Optional important pages listed under '## Key pages'. Each needs title and url."
    },
    "description": {
      "type": "string",
      "description": "One sentence on what you offer and for whom, used as the '> ' summary, e.g. 24/7 emergency plumbers serving Austin, TX."
    },
    "business_name": {
      "type": "string",
      "description": "Business or site name used as the '# ' title, e.g. Reddy Plumbing."
    },
    "contact_email": {
      "type": "string",
      "description": "Optional contact email listed under '## Contact', e.g. hello@example.com."
    }
  }
}

llms_txt_draft output schema

{
  "type": "object",
  "required": [
    "llms_txt",
    "publish_at",
    "tips",
    "disclaimer"
  ],
  "properties": {
    "tips": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Tips for keeping llms.txt useful."
    },
    "llms_txt": {
      "type": "string",
      "description": "Generated llms.txt Markdown content."
    },
    "disclaimer": {
      "type": "string",
      "description": "Informational disclaimer: crawler behaviour can change, verify against provider docs."
    },
    "publish_at": {
      "type": "string",
      "description": "Where to publish the file (site root, text/plain)."
    }
  }
}

llms_txt_draft annotations

{
  "title": "Draft llms.txt",
  "readOnlyHint": true,
  "openWorldHint": false,
  "idempotentHint": true,
  "destructiveHint": false
}

schema_jsonld_sample — Generate JSON-LD sample

Advertised by the server during the last successful anonymous check.

Advertised read-only

Generate a schema.org JSON-LD snippet (Organization, LocalBusiness, Product with Offer, or FAQPage) from your details, with placement tips, so search engines and AI assistants can identify the entity. Use when adding structured data to a page. Do NOT use to check whether a site already has structured data (use check_ai_readiness) or for llms.txt (use llms_txt_draft).

schema_jsonld_sample input schema

{
  "type": "object",
  "required": [
    "type",
    "name",
    "url"
  ],
  "properties": {
    "url": {
      "type": "string",
      "description": "Canonical page URL including https://, e.g. https://example.com (required; not emitted for faq)."
    },
    "name": {
      "type": "string",
      "description": "Entity name, e.g. Reddy Plumbing (required; not emitted for faq)."
    },
    "type": {
      "enum": [
        "organization",
        "local_business",
        "product",
        "faq"
      ],
      "type": "string",
      "description": "Entity type: organization, local_business (adds telephone/address), product (adds price Offer) or faq (requires questions)."
    },
    "price": {
      "type": "string",
      "description": "Optional price for product; a 3-letter currency code in it sets priceCurrency (default USD), e.g. '49.00 USD'."
    },
    "address": {
      "type": "string",
      "description": "Optional street address for local_business, e.g. 100 Main St, Austin, TX 78701."
    },
    "questions": {
      "type": "array",
      "items": {
        "type": "object",
        "required": [
          "question",
          "answer"
        ],
        "properties": {
          "answer": {
            "type": "string",
            "description": "Answer text."
          },
          "question": {
            "type": "string",
            "description": "Question text."
          }
        }
      },
      "description": "Question/answer pairs for faq (at least one required when type is faq)."
    },
    "telephone": {
      "type": "string",
      "description": "Optional phone for local_business, ideally E.164, e.g. +1-512-555-0100."
    },
    "description": {
      "type": "string",
      "description": "Optional one-sentence description (organization, local_business, product)."
    }
  }
}

schema_jsonld_sample output schema

{
  "type": "object",
  "required": [
    "jsonld",
    "placement",
    "tips",
    "disclaimer"
  ],
  "properties": {
    "tips": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Tips for accurate structured data."
    },
    "jsonld": {
      "type": "string",
      "description": "Pretty-printed JSON-LD object as a string, ready to embed."
    },
    "placement": {
      "type": "string",
      "description": "Where to paste the snippet in the page."
    },
    "disclaimer": {
      "type": "string",
      "description": "Informational disclaimer: crawler behaviour can change, verify against provider docs."
    }
  }
}

schema_jsonld_sample annotations

{
  "title": "Generate JSON-LD sample",
  "readOnlyHint": true,
  "openWorldHint": false,
  "idempotentHint": true,
  "destructiveHint": false
}

Prompts

3 advertised

audit_site — Audit my site for AI search

Advertised by the server during the last successful anonymous check.

Scan a website for AI crawler access, llms.txt, sitemap and structured data, then write the fixes.

domain: Your website, e.g. example.com (required)

ai_crawler_rules — Write robots.txt rules for AI bots

Advertised by the server during the last successful anonymous check.

Decide which AI crawlers to allow or block, then generate the robots.txt rules.

goal: Optional: what you want, e.g. be cited by AI but not used for training

write_llms_txt — Write my llms.txt

Advertised by the server during the last successful anonymous check.

Draft an llms.txt file so AI assistants get a clear summary of your site.

website: Your website or business name (required)

Resources

Not advertised

No resource definitions available.

30-day availability

Aggregated from read-only remote checks; this is not a tool-execution or security guarantee.

Successful checks: 1 of 1 (100%)
Average latency: 291 ms
95th percentile latency: 291 ms

Maintenance history

Public check and source-refresh events. Editorial and ownership records remain private.

Nov 7, 2026, 12:54 AM UTC · probe · passed · 291 ms · metadata changed · 5 tool(s), 3 prompt(s)

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers the remote server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

claude mcp add --transport http aiready-mcp-magicteams https://ai-ready.magicteams.ai/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add aiready-mcp-magicteams --url https://ai-ready.magicteams.ai/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable aiready-mcp-magicteams in your MCP settings.

Cursor configuration

{
  "mcpServers": {
    "aiready-mcp-magicteams": {
      "url": "https://ai-ready.magicteams.ai/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure).

Cline configuration

{
  "mcpServers": {
    "aiready-mcp-magicteams": {
      "type": "streamableHttp",
      "url": "https://ai-ready.magicteams.ai/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start aiready-mcp-magicteams and inspect its tools.

VS Code configuration

{
  "servers": {
    "aiready-mcp-magicteams": {
      "type": "http",
      "url": "https://ai-ready.magicteams.ai/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http aiready-mcp-magicteams https://ai-ready.magicteams.ai/mcp

Claude Desktop

Open Claude Settings > Connectors > Add custom connector, enter this server URL and enable it for the conversation. This is a manual remote-connector handoff, not a desktop JSON configuration.

Claude Desktop configuration

https://ai-ready.magicteams.ai/mcp

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "aiready-mcp-magicteams": {
      "serverUrl": "https://ai-ready.magicteams.ai/mcp"
    }
  }
}

Let your agent find its tools

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AIReady MCP

Endpoint and access

What its tools do

Read-only (5)

Checks and signals

What you can do with it

Source and maintenance

Protocol and capabilities

Server-provided instructions

Tools

Prompts

Resources

30-day availability

Maintenance history

Connect from your client

Claude Code

Codex

Cursor

Cline

VS Code

Gemini CLI

Claude Desktop

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