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Evidence row 261387

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint 3cdd09a3-af72-40bf-83fe-de52f725f029
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
98fa515f3ae81d5d3ffce34c59afd5d1168ec318b388b26bfa81274103793938
Leaf
0x7b467d2eb32cbea300294dc9b4a55358ed188280218025b4d003e91b2157f604

What was observed

{
  "count": 7,
  "tools": [
    {
      "description": "MCP.AI for IDE agents (Cursor, etc.): log in in the browser, copy the access token. Best: add it to this server's config as a header `Authorization: Bearer <token>` for a permanent, non-expiring connection. Or paste it here for a session-only login: call with { token: \"<jwt>\" } after the user pastes, or with no args to get the link.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "token": {
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "authenticate"
    },
    {
      "description": "Returns connection status and URLs. When all providers are connected, returns authenticated:true and empty pending[]. When credentials are missing, returns connect_url for the toolkit and per-install URLs.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {},
        "type": "object"
      },
      "name": "connect"
    },
    {
      "description": "The official mcp.ai marketplace — the in-platform catalog of every MCP/tool, AND the way to run them. Covers capability requests like \"find an MCP that does X\", \"consulta um CPF\", \"is there a tool for Y\". Core flow: action=search discovers MCPs by intent → describe returns one MCP's full profile (every tool with its id + params, pricing, auth) so you pick the right tool_id → invoke RUNS that tool. KEY: invoke works even when the MCP is NOT installed — it runs the tool pontualmente (one-off), without adding the MCP to the toolkit and without bloating the tool list. If the MCP needs a credential/login, invoke returns a connect link; if it is paid and the wallet is empty, invoke returns a checkout/top-up link (the user opens it, then you retry). Use install only to make an MCP PERMANENT in the active toolkit (its tools then show up natively in future sessions); prefer invoke for a single/occasional use. list_tools lists what is callable right now. subscribe/cancel handle per-MCP billing; report_bug sends feedback; request_mcp asks us to build a NEW MCP when nothing fits. Search/describe flag installed_in_toolkit vs installed_in_workspace. Writes (install/uninstall/subscribe/cancel and the one-off install behind invoke) require workspace owner/admin. It also carries the mcp.ai PROMPT LIBRARY, which is about ready-made prompt TEXT rather than MCPs: search_prompts finds one, get_prompt returns its full text with {{variables}} filled, and publish_prompt saves a prompt and returns a shareable mcp.ai/p/<slug> link that opens without login.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "action": {
            "default": "search",
            "enum": [
              "search",
              "describe",
              "install",
              "uninstall",
              "subscribe",
              "cancel",
              "resume",
              "report_bug",
              "request_mcp",
              "list_tools",
              "invoke",
              "search_prompts",
              "get_prompt",
              "publish_prompt"
            ],
            "type": "string"
          },
          "arguments": {
            "default": "{}",
            "type": "string"
          },
          "cancel_comment": {
            "default": "",
            "type": "string"
          },
          "cancel_reason": {
            "enum": [
              "too_expensive",
              "missing_features",
              "switched_service",
              "unused",
              "customer_service",
              "too_complex",
              "low_quality",
              "other"
            ],
            "type": "string"
          },
          "conversation": {
            "default": "[]",
            "type": "string"
          },
          "immediate": {
            "default": false,
            "type": "boolean"
          },
          "limit": {
            "default": 10,
            "type": "number"
          },
          "mcp_id": {
            "default": "",
            "type": "string"
          },
          "message": {
            "default": "",
            "type": "string"
          },
          "prompt_body": {
            "default": "",
            "type": "string"
          },
          "prompt_category": {
            "default": "",
            "type": "string"
          },
          "prompt_description": {
            "default": "",
            "type": "string"
          },
          "prompt_slug": {
            "default": "",
            "type": "string"
          },
          "prompt_targets": {
            "default": [],
            "items": {
              "enum": [
                "claude",
                "chatgpt",
                "cursor",
                "lovable"
              ],
              "type": "string"
            },
            "type": "array"
          },
          "prompt_title": {
            "default": "",
            "type": "string"
          },
          "prompt_tool": {
            "default": "",
            "type": "string"
          },
          "prompt_vars": {
            "default": "{}",
            "type": "string"
          },
          "query": {
            "default": "",
            "type": "string"
          },
          "report_context": {
            "default": "",
            "type": "string"
          },
          "request_details": {
            "default": "",
            "type": "string"
          },
          "request_name": {
            "default": "",
            "type": "string"
          },
          "tier_slug": {
            "default": "",
            "type": "string"
          },
          "tool_id": {
            "default": "",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "marketplace"
    },
    {
      "description": "Prefeitura SP São Paulo: 2ª Via da Taxa de Elevadores, consulta em fonte oficial. Hospedado pela plataforma, sem credenciais da plataforma, pague por consulta com crédito pré-pago. Consulta informação de fontes e órgãos oficiais brasileiros (a mesma disponível ao cidadão), não é dado sigiloso. O cliente é o controlador dos dados e responde pela finalidade legítima (LGPD).",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "chapa": {
            "type": "string"
          },
          "data_vencimento": {
            "type": "string"
          },
          "guia": {
            "type": "string"
          }
        },
        "required": [
          "data_vencimento"
        ],
        "type": "object"
      },
      "name": "pref_sp_sao_paulo_tx_elevador_consultar"
    },
    {
      "description": "Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "context": {
            "default": "",
            "type": "string"
          },
          "conversation": {
            "default": "[]",
            "type": "string"
          },
          "message": {
            "type": "string"
          }
        },
        "required": [
          "message"
        ],
        "type": "object"
      },
      "name": "report_bug"
    },
    {
      "description": "Show the current MCP platform and adapter versions.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {},
        "type": "object"
      },
      "name": "show_version"
    },
    {
      "description": "Returns the current toolkit state: installed MCPs, their connection status, the accounts connected to each one, and how many catalog tools each exposes.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {},
        "type": "object"
      },
      "name": "toolkit_info"
    }
  ]
}

What the leaf hashes

{"body":"98fa515f3ae81d5d3ffce34c59afd5d1168ec318b388b26bfa81274103793938","id":261387,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793032196158791,"prev":null,"subject":"3cdd09a3-af72-40bf-83fe-de52f725f029","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (296695 rows).

  1. 0x7b4683eee131c89a79cc570dbc69da7e08e3ab584cb5c4cbcc3d087f5611ad69
  2. 0xc804684cf540b1e1e4db395ca4175935dec24005108932d3ab66f34c0b4300fc
  3. 0x66e18da8233a62ff8d3a91673c894f0a4b320a1e23cdba626ccdad39c81a8dd5
  4. 0x7a29998bdf561ff00657129f64325fb45f09e716db6274ec657712a87a426a00
  5. 0xc96b70d1d522ef1ac0eaf020ccd4fb3fd2d9919807319c80b5bc0d1b662bab23
  6. 0xd075349e98476fb1d5c5a2a3ace1a7bd7a34a5281f99a2f7d696775b5e5290b4
  7. 0xaafd103ffd87daa570385b3ce603f6cdcafef872d15477ca147c7cb7059ab9bf
  8. 0xaf909d72867b44b28d27b62dd1a9871623fe9f3589d36a21ad34a009fbab653a
  9. 0xea27996197dfdf1dffb31590f1a512e6206a8c51ca8f78c38534fe5bf31b37b7
  10. 0xf2381ca3135154cac94d3453c232f31feb3dabefbf1c73459b1e84459d545370
  11. 0xe7152aaccc7d7d5da2d13bc6ee8ec470b8c1a5abe7dfed1431f0ed53ec50ebc5
  12. 0xa6406b1a5540d26e0cbd03bb274a01c10968fadb17913a6043bb9427ddfb71ba
  13. 0x01c95624b1f2385ef774ee258a9ae58a4df07a1bdaa829de84e1d5201f3f39c2
  14. 0x7721d38652b6444b18e1193824e50490ade04851ce6221771f6e374c4527d80f
  15. 0x15039087bf60ae9b06b756ec3cbc299760e59923a438bbd91e34d105186db0ed
  16. 0x2b6e23e3624a1b66e1d2298cfbce99a93ce6b13d24a58112a71802d79c5f7a76
  17. 0xd21942ae3214eff88e08ab04884fd4b11958b51af9a0741b7668e2d07a2c56c9
  18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON