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Evidence row 263342

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint 3d751201-7954-4879-b546-9726f5dbe487
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
e446915cf1d79dae0cfa203456518d1b79187bf84246802a76bfa8c831e0fa14
Leaf
0x2fe24c20904cd6b6fe8ecff8c216db0b77fe2028d27f75b79ea4c25a1353df3c

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": "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"
    },
    {
      "description": "Emite a certidão de crimes eleitorais de uma pessoa no TSE a partir do nome, CPF, título e data de nascimento. Hospedado pela plataforma, sem credenciais, pague por consulta com crédito pré-pago. Consulta informação de ACESSO PÚBLICO em bases e fontes oficiais (a mesma disponível ao cidadão), não é dado privado nem sigiloso. O cliente é o controlador dos dados e responde pela finalidade legítima (LGPD).",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "CPF": {
            "type": "string"
          },
          "DataNascimento": {
            "type": "string"
          },
          "Nome": {
            "type": "string"
          },
          "NomeMae": {
            "type": "string"
          },
          "NumeroTituloEleitoral": {
            "type": "string"
          },
          "completo": {
            "type": "boolean"
          }
        },
        "required": [
          "Nome",
          "CPF",
          "NumeroTituloEleitoral",
          "DataNascimento",
          "NomeMae"
        ],
        "type": "object"
      },
      "name": "tse_crimes_eleitorais_consultar"
    }
  ]
}

What the leaf hashes

{"body":"e446915cf1d79dae0cfa203456518d1b79187bf84246802a76bfa8c831e0fa14","id":263342,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793033384651560,"prev":null,"subject":"3d751201-7954-4879-b546-9726f5dbe487","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. 0x2fe2bce7a2b1fad8439fca48142f07766ed0674193e6f6bcef4250446dd73218
  2. 0xdc88b1369cb82e55be336365f09d917b386fc88e63f530c07f3877b7cfdd944e
  3. 0x371cf6d7158b53b460f62a40f59badad0ee1a6f37d6e5caa2b40494a0ac0033e
  4. 0x90113ebb3fd06419b23671bce7373d35f9b92cec6324a4166ea0f9ae5dcff54f
  5. 0xf54179c0d33d73b9842d7836acd8e9d907a82c5d4e21e77fec33c1260faac909
  6. 0x2365873a916b9a7310893c3383d24429515c8b5382facf9fd829de0f9088d488
  7. 0xce0128c1ec441e73f11c4709100485f726b733adb68a73c6fd6e7dcd22f3d903
  8. 0x75f1cfdf7b40b1f5a24df7c21f31dd59e738b8958adede89875964315391ee22
  9. 0xa711c79ca7526e1d40ee8807ac8b781ed3c92e62ff1cb9993eef5db1ba482740
  10. 0x6b688efccc67667934f53af0dda473be5dd9a09af5b20b03ee9e17b11c036418
  11. 0x5706295a72541360bda32c42f2b8bcd1e27be58a3989ae29fd4aeb7edddae0ae
  12. 0x12cda00da304cf48d9b3c1874c07a6f0a2e143ba0d25e359b8fd805abb057b32
  13. 0x36a44931b230976c04691d90bf3a25ed4111d74c78b672850d8025a911ca88dd
  14. 0x683955a5b2250ad50568d022a6580d8739b6aff1356779d72a773b088e7c289c
  15. 0x610738e0c43687aded83c613c73de8b5226c73c375858a167436461c522ea213
  16. 0x06d71bfa7d8b41d62c8836efc2c601e1cc3772d9453596b2ae4950887f3310ca
  17. 0x8c756542e482157df0c36464d75c937b845e4423dbbcfad08f0cf8d5a16b9a13
  18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON