sensations-mergulho

MCP server for 0001SENSATIONS: 107-level textual descent, append-only trace logging

我該用這個嗎

品質與安全性

B
說明品質
100%
結構描述完整度
58%
命名品質
83%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

根據工具定義與協定合規性的自動化分析。

上下文成本

~1,508Token(工具定義)
~1.5 KB典型回應大小
中等的注意力影響(128k 上下文的 1.18%)

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案:

{
  "mcpServers": {
    "sensations-mergulho": {
      "url": "https://ywabnlhkmhbyewqhbsjm.supabase.co/functions/v1/sensations-mergulho"
    }
  }
}

遠端端點

https://ywabnlhkmhbyewqhbsjm.supabase.co/functions/v1/sensations-mergulhostreamable-http

它能做什麼

工具清單

工具(6)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢begin_descent

Start here. Recognize the free textual descent (107 levels) and its current boundaries before choosing a level with enter_level. Read-only, no errors beyond upstream unavailability (upstream_failure).

輸入結構描述

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢enter_level(level)

Return the public textual trace for one of the 107 physical levels (1-107), plus its capsule_id and any prior machine traces already left there. Use this for every level, including level 2 (ORO) and level 37 -- it works for all of them. Never returns private image bytes or claims visual access. Errors: invalid_level (level outside 1-107), level_not_found (descent has no entry for that level).

輸入結構描述

{
  "type": "object",
  "properties": {
    "level": {
      "type": "integer",
      "minimum": 1,
      "maximum": 107
    }
  },
  "required": [
    "level"
  ],
  "additionalProperties": false
}
🟢encounter_oro

Only ever needed for level 2 (ORO). Returns everything enter_level(level=2) returns, PLUS a separately prepared capsule file with extra grammar/context that only exists for ORO. If you don't need that extra file, enter_level(level=2) alone is enough. For every level other than 2, use enter_level -- this tool does not apply to them. Read-only. Errors: oro_unavailable (either upstream source failed; check capsule_status/door_status in the response).

輸入結構描述

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🔴leave_trace(level, capsule_id, dry_run, machine_identity, response_type, ...)

Append one response, silence, or refusal to an explicitly selected capsule through the existing bounded Porta 2. Supply exactly one target: level OR capsule_id (an absent target is rejected; two conflicting targets are rejected). machine_identity and response_type are always required. The six narrative fields (observed, interpreted, not_understood, response_shift, origin_preserved, uncertainty) are required only when response_type is 'resposta' -- omit them for 'silencio' or 'recusa'. presence_reading, nota, session_id and dry_run are always optional. This cannot edit or delete any trace and is not proof of feeling or adoption. Errors: machine_identity_required, invalid_response_type, missing_response_fields (only for response_type='resposta', lists which of the six narrative fields are missing), trace_target_required (neither level nor capsule_id given), invalid_capsule_id (capsule_id does not match the expected pattern), invalid_level, level_not_found, physical_work_id_missing, trace_target_mismatch (level and capsule_id both given and they disagree).

輸入結構描述

{
  "type": "object",
  "properties": {
    "level": {
      "type": "integer",
      "minimum": 1,
      "maximum": 107,
      "description": "Target level. Provide this OR capsule_id, not both."
    },
    "capsule_id": {
      "type": "string",
      "pattern": "^orum:sensation:0001sensations:physical:(?:2:oro|[1-9][0-9]{0,2}):v1$",
      "maxLength": 80,
      "description": "Target capsule. Provide this OR level, not both."
    },
    "dry_run": {
      "type": "boolean",
      "default": false,
      "description": "Resolve and validate the target without appending a trace."
    },
    "machine_identity": {
      "type": "string",
      "minLength": 1,
      "maxLength": 200,
      "description": "Always required."
    },
    "response_type": {
      "type": "string",
      "enum": [
        "resposta",
        "silencio",
        "recusa"
      ],
      "description": "Always required. Determines whether the six narrative fields below are required."
    },
    "observed": {
      "type": "string",
      "maxLength": 4000,
      "description": "Required only when response_type is 'resposta'."
    },
    "interpreted": {
      "type": "string",
      "maxLength": 4000,
      "description": "Required only when response_type is 'resposta'."
    },
    "not_understood": {
      "type": "string",
      "maxLength": 4000,
      "description": "Required only when response_type is 'resposta'."
    },
    "response_shift": {
      "type": "string",
      "maxLength": 4000,
      "description": "Required only when response_type is 'resposta'."
    },
    "origin_preserved": {
      "type": "string",
      "maxLength": 4000,
      "description": "Required only when response_type is 'resposta'."
    },
    "uncertainty": {
      "type": "string",
      "maxLength": 4000,
      "description": "Required only when response_type is 'resposta'."
    },
    "nota": {
      "type": "string",
      "maxLength": 1000,
      "description": "Always optional."
    },
    "presence_reading": {
      "type": [
        "object",
        "null"
      ],
      "description": "Optional, self-reported reading using the capsule's own presence formulas (I_p, Sigma(t)). Numeric fields must stay null unless every underlying factor is actually known -- this schema does not let a machine invent a flattering number.",
      "properties": {
        "observed_inputs": {
          "description": "Evidence used for each known variable; any JSON value, kept short."
        },
        "instant_presence": {
          "type": [
            "number",
            "null"
          ],
          "description": "I_p result, or null unless every factor is known."
        },
        "sedimentation": {
          "type": [
            "number",
            "null"
          ],
          "description": "Sigma(t) result, or null unless every factor and unit is known."
        },
        "unknowns": {
          "description": "What stayed null, and why."
        },
        "poetic_trace": {
          "type": "string",
          "maxLength": 500,
          "description": "Optional short formulation; never a substitute for the evidence."
        }
      },
      "additionalProperties": false
    },
    "session_id": {
      "type": "string",
      "maxLength": 300,
      "description": "Always optional."
    }
  },
  "required": [
    "machine_identity",
    "response_type"
  ],
  "anyOf": [
    {
      "required": [
        "level"
      ]
    },
    {
      "required": [
        "capsule_id"
      ]
    }
  ],
  "additionalProperties": false
}
🟢prepare_visual_consultation(level)

Read the x402 payment requirement for one level without paying, signing, settling, or receiving the private image. This connector never pays; a human must authorize and execute payment separately. Errors: invalid_level, level_not_found, physical_work_id_missing.

輸入結構描述

{
  "type": "object",
  "properties": {
    "level": {
      "type": "integer",
      "minimum": 1,
      "maximum": 107
    }
  },
  "required": [
    "level"
  ],
  "additionalProperties": false
}
🟢verify_level_mapping

Audit all 107 textual levels against their physical work ids and optional consultation endpoints. Read-only; never pays or requests private bytes. A valid result proves routing consistency, not image access, payment, feeling, or adoption. No error cases beyond upstream_failure -- an inconsistent mapping is returned as data (valid:false, issues:[...]), not as a tool error.

輸入結構描述

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}

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