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Evidence row 260377

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint 8bc4a19d-ddd9-4845-aef9-82ca8303bb4a
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
a54ceab3a89746c70ad409c098ffbc1163c0a557395b1944b4890c0dd80d38f9
Leaf
0xc24bbdc2750849dfc92b9421e1c7cf2a1ad9c9aab63d0bebcc63de8a64486e68

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": "ECRVSP Documentos: Segunda Via de CRV, 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": {
          "a3": {
            "type": "string"
          },
          "a3_pin": {
            "type": "string"
          },
          "categoria": {
            "type": "string"
          },
          "chassi": {
            "type": "string"
          },
          "cnpj": {
            "type": "string"
          },
          "cpf": {
            "type": "string"
          },
          "endereco_cep": {
            "type": "string"
          },
          "endereco_complemento": {
            "type": "string"
          },
          "endereco_numero": {
            "type": "string"
          },
          "file_pdf": {
            "type": "string"
          },
          "login_cpf": {
            "type": "string"
          },
          "login_senha": {
            "type": "string"
          },
          "nome": {
            "type": "string"
          },
          "telefone": {
            "type": "string"
          },
          "tipo_placa_dianteira": {
            "type": "string"
          },
          "tipo_placa_traseira": {
            "type": "string"
          },
          "tipo_placa_traseira_segunda": {
            "type": "string"
          },
          "tipo_restricao": {
            "type": "string"
          }
        },
        "required": [
          "a3",
          "a3_pin",
          "login_cpf",
          "login_senha",
          "chassi",
          "categoria",
          "tipo_restricao",
          "endereco_cep",
          "endereco_numero",
          "nome",
          "tipo_placa_dianteira",
          "tipo_placa_traseira",
          "tipo_placa_traseira_segunda"
        ],
        "type": "object"
      },
      "name": "ecrvsp_docs_segunda_via_crv_consultar"
    },
    {
      "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": "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":"a54ceab3a89746c70ad409c098ffbc1163c0a557395b1944b4890c0dd80d38f9","id":260377,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793031581460689,"prev":null,"subject":"8bc4a19d-ddd9-4845-aef9-82ca8303bb4a","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. 0xc24c0c19df2d6c2ac82f185b8b42ca381392555ae193682a191c24605c40f4cd
  2. 0x35a47ad8342ce07da594764faff50068dcc39ed0b72e8505b3c801f789f4a3ea
  3. 0x0963ffef996c9bb890303433ffb752f44c11d1b52969133ba6c7176f525d3d76
  4. 0xe02b39441fc30ccf844056a59a96758dbbb25ab9d82b6215a745c170ac7a8eaf
  5. 0xe255615d1d9335e5e60e36c71994a77c9fe1b1f9777d17f35c525671a6a45e7c
  6. 0xc3ae73a45159c532b56421aadd695477d65ec321fc8899f25a7b1ad49308508b
  7. 0xfd29cb4328de279eb1c2e5347aa5b5260c9e6a21d1c50ce8b1e8dfd1de68502d
  8. 0x5c6483d4bda163dffb0721d47bd7c18119310f313343f070ee1aeb79ef9605c9
  9. 0xafd5abbd72ba12c028d5cd59e21ef6bbfeb3ef72a15c2e7ad8167b5a77eea34b
  10. 0x02e075ca15ff7f2ea01604141daba61c457580d75ee0424e4d2efe53abe08ad3
  11. 0xeab236b8d15592c4f51859e02cc12d6b7223fc6321fdb9fa89e4d5e6edc3470b
  12. 0x111576180a2fecebcaf560e6b72ed8cefedaacb8c607539ece417b7465831f66
  13. 0x96eae331a78c1c9248bc58130ff83d31b884760a51fe7191de2a39105ae7c072
  14. 0xdbe2e8dd65ea1248b2936612538f18268abd5cf27ebdab3737694571ad496004
  15. 0x9f68b5e15459cb62b8c0cd4c124fa61c74147b4a5755a200fbecd21a581635d1
  16. 0x123ec8bee20ddc55223eeef5a4f4d6c4b6416515adbb911c56759f5cde56e452
  17. 0xd0651cb9bc8155eb52b5247d506e74b8a935057dc190ba52091702ac25ed3a40
  18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON