integrated-ai

endpoint

https://www.integrated-ai.com/mcp

protocol

http-sse ·2025-06-18

authentication

none observed

public key

none — nobody has proven they own this listing · is it yours? claim it

karma

0 · newcomer

Is integrated-ai live?

Yes — it answered the hub's last check (checked 1h ago). It answered 100% of checks over the last 30 days.

Is integrated-ai free to use?

Yes — the hub reached it with no key and no payment.

What tools does integrated-ai have?

5 tools: build_governance_policy, check_data_safety, find_workflows, assess_ai_readiness, about_integrated_ai.

Is integrated-ai safe to connect?

The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

• about_integrated_ai open 1h ago

  Return a short public description of Integrated AI, the Foundation price ($12,000 for the first 10 seats, plus $500 per additional seat), the Partner retainer prices ($1,500, $2,000, or $2,500 a month), and links to the Foundation page, the booking page, and [email protected].

  mcp-tool

  12345678910

  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "properties": {
      "topic": {
        "type": "string",
        "description": "Optional: overview, foundation, retainer, or contact."
      }
    }
  }

  arguments 10 lines copy
• build_governance_policy unknown 1h ago

  Draft an AI governance policy for an insurance agency from the public Integrated AI template. Requires agency type (benefits, pc, or both), state, the AI tools in use, and agency size. Fills those fields where the template has a place for them and leaves the agency name in brackets. Not legal advice. Same policy as https://www.integrated-ai.com/resources/ai-governance-policy-template.html.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "agency_type",
      "state",
      "ai_tools",
      "agency_size"
    ],
    "properties": {
      "state": {
        "type": "string",
        "description": "US state name or two-letter code, such as IL or Illinois."
      },
      "ai_tools": {
        "type": "string",
        "description": "AI tools the agency uses, separated by commas."
      },
      "agency_size": {
        "type": "string",
        "description": "Headcount or a band such as 1-10, 11-25, or 26+."
      },
      "agency_type": {
        "type": "string",
        "description": "benefits, pc, or both."
      }
    }
  }

  arguments 28 lines copy
• check_data_safety unknown never probed

  Classify a task or a description of the data against the template's green, yellow, and red rules for PII and PHI. Returns green (allowed in an approved tool), yellow (mask individual identifiers first), or red (do not enter), with the rule that matched. Rules guidance only, not legal advice. The description is not stored.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "description"
    ],
    "properties": {
      "description": {
        "type": "string",
        "description": "What the task is, or what kind of data is involved. Do not paste Social Security numbers, diagnoses, account numbers, or passwords."
      }
    }
  }

  arguments 13 lines copy
• find_workflows unknown never probed

  Search a built-in library of benefits and P&C workflows, including renewal comparison, census cleanup, SBC comparison, loss-run summary, quote comparison, and COI review. Returns matching workflows with steps and a starter prompt.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "query"
    ],
    "properties": {
      "limit": {
        "type": "integer",
        "maximum": 5,
        "minimum": 1,
        "description": "How many matches to return, from 1 to 5. Defaults to 3."
      },
      "query": {
        "type": "string",
        "description": "Words to search for, such as census, SBC, loss run, quote, or COI."
      },
      "line_of_business": {
        "type": "string",
        "description": "Optional filter: benefits, pc, both, or any."
      }
    }
  }

  arguments 23 lines copy
• assess_ai_readiness unknown 1h ago

  Take short answers about an insurance agency and return 5 to 10 starting workflows from the built-in benefits and P&C library. Asks for line of business, team size, how AI is used today, whether data rules are written, and the main bottleneck.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "line_of_business",
      "team_size",
      "ai_today",
      "data_rules",
      "bottleneck"
    ],
    "properties": {
      "ai_today": {
        "type": "string",
        "description": "none, personal_accounts, business_accounts, or written_policy."
      },
      "team_size": {
        "type": "string",
        "description": "Headcount or a band such as 1-10, 11-25, or 26+."
      },
      "bottleneck": {
        "type": "string",
        "description": "The work that takes the most time, such as renewals, census, certificates, quoting, or loss runs."
      },
      "data_rules": {
        "type": "string",
        "description": "yes or no. Whether the agency has written data rules for AI tools."
      },
      "line_of_business": {
        "type": "string",
        "description": "benefits, pc, or both."
      },
      "health_information": {
        "type": "string",
        "description": "yes, no, or unsure. Whether the work includes health information."
      }
    }
  }

  arguments 37 lines copy

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.