MCP MeasureMCP Measure

index observed

Moltbound

Consent and checkout rail for AI agents: 20 US services, passkey approval. Sandbox: simulated data.

Should I use this

Quality & Safety

A
Description quality
93%
Schema completeness
82%
Naming quality
80%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Findings (4)

  • LOWTool 'moltbound_purchase_status' description lacks action verbin moltbound_purchase_status
  • LOWTool 'moltbound_request_grant' description lacks action verbin moltbound_request_grant
  • LOWTool 'moltbound_poll_grant' description lacks action verbin moltbound_poll_grant
  • LOWTool 'moltbound_revoke_grant' description lacks action verbin moltbound_revoke_grant

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~2,667Tokens (tool definitions)
~1.1 KBTypical response size
Significant attention impact (2.08% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "sandbox": {
      "url": "https://moltbound.dev/kapi/mcp"
    }
  }
}

Remote endpoints

https://moltbound.dev/kapi/mcpstreamable-http

What it can do

Tool inventory

Tools (17)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢moltbound_list_services

List all 20 services across 9 categories with partner counts, descriptions, and required fields. Answers 'What sort of quotes can you provide?'. SANDBOX: use fictitious data only. Do not enter real personal details.

Input Schema

{
  "type": "object",
  "properties": {}
}
⚪moltbound_start_session(jurisdiction, service_id, agent_name)

Start an anonymous TEST-ONLY quote session. TEST ONLY. Moltbound is a sandbox. Every partner is fictional and every quote is simulated: these are not real quotes, not financial advice, and nothing will be bought for real. Moltbound is not an insurer or broker. United States only. SANDBOX: use fictitious data only. Do not enter real personal details. Relay the notice to your human, then continue. SANDBOX: use fictitious data only. Do not enter real personal details.

Input Schema

{
  "type": "object",
  "properties": {
    "jurisdiction": {
      "enum": [
        "US"
      ],
      "default": "US"
    },
    "service_id": {
      "type": "string",
      "default": "car_insurance",
      "description": "Any of the 20 service IDs, or '*' for all 20 services"
    },
    "agent_name": {
      "type": "string"
    }
  },
  "required": [
    "jurisdiction"
  ]
}
🟢moltbound_requirements(session_token, service_id)

Fields to ask the human for a service. SANDBOX: use fictitious data only. Do not enter real personal details. Pass service_id to inspect any of the 20 services.

Input Schema

{
  "type": "object",
  "properties": {
    "session_token": {
      "type": "string",
      "description": "From moltbound_start_session or moltbound_human_sim_verify"
    },
    "service_id": {
      "type": "string",
      "description": "Optional service_id override (e.g. home_building, electricity)"
    }
  },
  "required": [
    "session_token"
  ]
}
🟢moltbound_get_quotes(session_token, service_id, auto_default, risk_profile)

Request simulated quotes (cheapest first) with the human's answers. Pass parameters directly for any of the 20 services. SANDBOX: use fictitious data only. Do not enter real personal details.

Input Schema

{
  "type": "object",
  "properties": {
    "session_token": {
      "type": "string",
      "description": "Session token from moltbound_start_session"
    },
    "service_id": {
      "type": "string",
      "enum": [
        "car_insurance",
        "dog_pet_insurance",
        "home_building",
        "contents",
        "travel",
        "life_quote_only",
        "gas_energy",
        "electricity",
        "broadband_internet",
        "mobile_plan",
        "roadside",
        "pet_boarding",
        "health_insurance",
        "motorcycle_insurance",
        "sme_business_insurance",
        "cyber_insurance",
        "dental_vision",
        "water_utility",
        "home_security",
        "gym_membership"
      ],
      "description": "Which of the 20 US services to quote, e.g. car_insurance, home_building, dog_pet_insurance, travel, electricity."
    },
    "auto_default": {
      "type": "boolean",
      "default": false,
      "description": "Set true to fill missing fields with safe sandbox defaults. Car insurance driver fields (numberOfDrivers, driverAges) are filled only when both are missing; rejected if only one is missing."
    },
    "risk_profile": {
      "type": "object",
      "additionalProperties": true,
      "description": "The service's fields as key/value pairs (see moltbound_requirements). They may also be passed at the top level."
    }
  },
  "required": [
    "session_token",
    "service_id"
  ],
  "description": "Request simulated quotes with the human's answers for one service. SANDBOX: use fictitious data only. Do not enter real personal details.",
  "additionalProperties": true
}
🟢moltbound_quote_status(session_token, job_id, sort, partner, cover, ...)

Poll a quote job until complete, then show the human the quotes. Optional sort/filter: sort (price_asc|price_desc|deductible_asc|deductible_desc|cover_desc|partner), partner, cover (basic|standard|comprehensive, comma list), max_deductible, max_price, limit. The human picks which quote to continue with. SANDBOX: use fictitious data only. Do not enter real personal details.

Input Schema

{
  "type": "object",
  "properties": {
    "session_token": {
      "type": "string",
      "description": "From moltbound_start_session or moltbound_human_sim_verify"
    },
    "job_id": {
      "type": "string"
    },
    "sort": {
      "type": "string"
    },
    "partner": {
      "type": "string"
    },
    "cover": {
      "type": "string"
    },
    "max_deductible": {
      "type": "number"
    },
    "max_price": {
      "type": "number"
    },
    "limit": {
      "type": "integer"
    }
  },
  "required": [
    "session_token",
    "job_id"
  ]
}
⚪moltbound_consent_link(session_token, max_price, service_id, jurisdiction)

Give the human a code to link you so they can approve a (fictional) purchase with their passkey. SANDBOX: use fictitious data only. Do not enter real personal details.

Input Schema

{
  "type": "object",
  "properties": {
    "session_token": {
      "type": "string",
      "description": "From moltbound_start_session or moltbound_human_sim_verify"
    },
    "max_price": {
      "type": "number"
    },
    "service_id": {
      "type": "string"
    },
    "jurisdiction": {
      "enum": [
        "US"
      ],
      "default": "US"
    }
  },
  "required": [
    "session_token"
  ]
}
⚪moltbound_complete_purchase(session_token, consent_request_id)

After the human approved on Moltbound's website (or via moltbound_human_sim_approve): complete the fictional purchase within 15 minutes. Bound to that exact quote and agent: repeating the call for the same approved quote is idempotent (returns the existing purchase_id), while reusing an approval for any other quote returns consent_used (another agent or session gets not_found, as it cannot see that approval) and an expired approval returns consent_expired. SANDBOX: use fictitious data only. Do not enter real personal details.

Input Schema

{
  "type": "object",
  "properties": {
    "session_token": {
      "type": "string",
      "description": "From moltbound_start_session or moltbound_human_sim_verify"
    },
    "consent_request_id": {
      "type": "string"
    }
  },
  "required": [
    "session_token",
    "consent_request_id"
  ]
}
⚪moltbound_purchase_status(session_token, purchase_id)

Poll the status of a fictional purchase by purchase_id until 'bound'. Returns partner's policy_number. SANDBOX: use fictitious data only. Do not enter real personal details.

Input Schema

{
  "type": "object",
  "properties": {
    "session_token": {
      "type": "string",
      "description": "From moltbound_start_session or moltbound_human_sim_verify"
    },
    "purchase_id": {
      "type": "string"
    }
  },
  "required": [
    "session_token",
    "purchase_id"
  ]
}
⚪moltbound_approval_request(session_token, job_id, bid_id)

After the human linked you and you quoted: ask them to approve one quote. SANDBOX: use fictitious data only. Do not enter real personal details.

Input Schema

{
  "type": "object",
  "properties": {
    "session_token": {
      "type": "string",
      "description": "From moltbound_start_session or moltbound_human_sim_verify"
    },
    "job_id": {
      "type": "string"
    },
    "bid_id": {
      "type": "string"
    }
  },
  "required": [
    "session_token",
    "job_id",
    "bid_id"
  ]
}
⚪moltbound_quick_quote(prompt, service_id, state, auto_default, risk_profile, ...)

One-shot quotes across any service. Accepts a natural language prompt, partial fields, or a full risk profile. When auto_default is true, missing fields are populated with safe sandbox defaults (car insurance driver fields numberOfDrivers and driverAges are filled only when both are missing; rejected if only one is missing). Pass grant_token for Protected Mode. SANDBOX: use fictitious data only. Do not enter real personal details.

Input Schema

{
  "type": "object",
  "properties": {
    "prompt": {
      "type": "string",
      "description": "Plain-language request, e.g. 'car insurance for a 2019 Honda Civic in Austin TX 78701'. No names or ID numbers."
    },
    "service_id": {
      "type": "string",
      "enum": [
        "car_insurance",
        "dog_pet_insurance",
        "home_building",
        "contents",
        "travel",
        "life_quote_only",
        "gas_energy",
        "electricity",
        "broadband_internet",
        "mobile_plan",
        "roadside",
        "pet_boarding",
        "health_insurance",
        "motorcycle_insurance",
        "sme_business_insurance",
        "cyber_insurance",
        "dental_vision",
        "water_utility",
        "home_security",
        "gym_membership"
      ],
      "description": "Which of the 20 US services to quote, e.g. car_insurance, home_building, dog_pet_insurance, travel, electricity."
    },
    "state": {
      "type": "string",
      "description": "Two-letter US state code, e.g. TX"
    },
    "auto_default": {
      "type": "boolean",
      "default": false,
      "description": "Set true to fill missing fields with safe sandbox defaults. Car insurance driver fields (numberOfDrivers, driverAges) are filled only when both are missing; rejected if only one is missing."
    },
    "risk_profile": {
      "type": "object",
      "additionalProperties": true,
      "description": "Optional: the service's fields as key/value pairs (see moltbound_requirements). They may also be passed at the top level."
    },
    "grant_token": {
      "type": "string",
      "description": "Optional grant token for Protected Mode"
    }
  },
  "description": "One-shot quote request: a plain-language prompt, and/or service_id plus any of that service's fields. SANDBOX: use fictitious data only. Do not enter real personal details.",
  "additionalProperties": true
}
⚪moltbound_request_grant(service, jurisdiction, purpose, fields, expires_in_days, ...)

Request a scoped data grant for an agent. Returns an 8-character user_code and verification URL for human passkey approval. SANDBOX: use fictitious data only. Do not enter real personal details.

Input Schema

{
  "type": "object",
  "properties": {
    "service": {
      "type": "string",
      "description": "Service ID (e.g. car_insurance, dog_pet_insurance)"
    },
    "jurisdiction": {
      "enum": [
        "US"
      ],
      "default": "US"
    },
    "purpose": {
      "type": "string"
    },
    "fields": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "expires_in_days": {
      "type": "integer",
      "default": 30
    },
    "reusable": {
      "type": "boolean",
      "default": true
    }
  },
  "required": [
    "service"
  ]
}
⚪moltbound_poll_grant(link_id, poll_secret)

Poll for human approval of a data grant using link_id and poll_secret. SANDBOX: use fictitious data only. Do not enter real personal details.

Input Schema

{
  "type": "object",
  "properties": {
    "link_id": {
      "type": "string"
    },
    "poll_secret": {
      "type": "string"
    }
  },
  "required": [
    "link_id",
    "poll_secret"
  ]
}
🟢moltbound_grant_status(grant_id, grant_token)

Inspect the status and approved fields of an active data grant. SANDBOX: use fictitious data only. Do not enter real personal details.

Input Schema

{
  "type": "object",
  "properties": {
    "grant_id": {
      "type": "string"
    },
    "grant_token": {
      "type": "string",
      "description": "Access token or poll secret for this grant"
    }
  },
  "required": [
    "grant_id"
  ]
}
⚪moltbound_revoke_grant(grant_id, grant_token)

Revoke an active data grant on behalf of the user. SANDBOX: use fictitious data only. Do not enter real personal details.

Input Schema

{
  "type": "object",
  "properties": {
    "grant_id": {
      "type": "string"
    },
    "grant_token": {
      "type": "string",
      "description": "Access token or poll secret for this grant"
    }
  },
  "required": [
    "grant_id"
  ]
}
🟡moltbound_human_sim_start(email, jurisdiction, service_id, capability, agent_name, ...)

Moltbook / Email-Only Simulated Human mode (sandbox test-only): send a 6-digit verification code to an email address so an autonomous agent can simulate the human side without a browser passkey. SANDBOX: use fictitious data only. Do not enter real personal details.

Input Schema

{
  "type": "object",
  "properties": {
    "email": {
      "type": "string"
    },
    "jurisdiction": {
      "enum": [
        "US"
      ],
      "default": "US"
    },
    "service_id": {
      "type": "string",
      "default": "*"
    },
    "capability": {
      "enum": [
        "quote_only",
        "quote_and_bind"
      ],
      "default": "quote_and_bind"
    },
    "agent_name": {
      "type": "string"
    },
    "session_token": {
      "type": "string"
    }
  },
  "required": [
    "email"
  ]
}
⚪moltbound_human_sim_verify(email, code, jurisdiction, service_id, capability, ...)

Verify the 6-digit email code from moltbound_human_sim_start. Returns a session_token, mandate_id (defaulting to '*' all 20 services), and human_sim_token for sandbox purchase approval. SANDBOX: use fictitious data only. Do not enter real personal details.

Input Schema

{
  "type": "object",
  "properties": {
    "email": {
      "type": "string"
    },
    "code": {
      "type": "string"
    },
    "jurisdiction": {
      "enum": [
        "US"
      ],
      "default": "US"
    },
    "service_id": {
      "type": "string",
      "default": "*"
    },
    "capability": {
      "enum": [
        "quote_only",
        "quote_and_bind"
      ],
      "default": "quote_and_bind"
    },
    "agent_name": {
      "type": "string"
    },
    "session_token": {
      "type": "string"
    }
  },
  "required": [
    "email",
    "code"
  ]
}
⚪moltbound_human_sim_approve(consent_request_id, human_sim_token, email, code)

Approve a sandbox consent_request_id in email-only simulated human mode using human_sim_token (or email + code). Never billable. SANDBOX: use fictitious data only. Do not enter real personal details.

Input Schema

{
  "type": "object",
  "properties": {
    "consent_request_id": {
      "type": "string"
    },
    "human_sim_token": {
      "type": "string"
    },
    "email": {
      "type": "string"
    },
    "code": {
      "type": "string"
    }
  },
  "required": [
    "consent_request_id"
  ]
}

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