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Evidence row 262104

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint 46ac2dc1-a104-4fe6-9318-7be831dcfee3
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
88669c8385621bbf805b50bf41a5b1f8618206e4507a1f0211a8f2ddb0809189
Leaf
0xc67d142750d4ef4aa84d0ad91903aecc84a287fefaa626da7252bba707b8843c

What was observed

{
  "count": 10,
  "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": "Conteúdo de um card específico (chunks). Use focus_query pra focar quais trechos voltam e max_chunks (1-50, default 20) pra limitar o volume.\n\nBulk support: accepts card_ids for batched execution.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "account": {
            "type": "string"
          },
          "card_id": {
            "type": "string"
          },
          "card_ids": {
            "items": {
              "type": "string"
            },
            "type": "array"
          },
          "focus_query": {
            "type": "string"
          },
          "max_chunks": {
            "type": "number"
          }
        },
        "required": [
          "card_id"
        ],
        "type": "object"
      },
      "name": "recall_get_card"
    },
    {
      "description": "Lista contas Recall vinculadas a este install — id e apelido.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "account": {
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "recall_list_accounts"
    },
    {
      "description": "Lista os cards da sua base Recall (leitura). Filtros opcionais: tags (UUIDs), intervalo de datas (date_from/date_to, ISO 8601) e source_url_contains. Sem filtros, retorna seus cards.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "account": {
            "type": "string"
          },
          "date_from": {
            "type": "string"
          },
          "date_to": {
            "type": "string"
          },
          "source_url_contains": {
            "type": "string"
          },
          "tags": {
            "items": {
              "type": "string"
            },
            "type": "array"
          }
        },
        "type": "object"
      },
      "name": "recall_list_cards"
    },
    {
      "description": "Busca semântica na sua base Recall. `q` é a consulta em linguagem natural. mode: focused (rápido, menos resultados, default) ou exhaustive (cobertura maior). Filtros opcionais: card_id, tags, intervalo de datas, source_url_contains.\n\nBulk support: accepts card_ids for batched execution.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "account": {
            "type": "string"
          },
          "card_id": {
            "type": "string"
          },
          "card_ids": {
            "items": {
              "type": "string"
            },
            "type": "array"
          },
          "date_from": {
            "type": "string"
          },
          "date_to": {
            "type": "string"
          },
          "mode": {
            "enum": [
              "focused",
              "exhaustive"
            ],
            "type": "string"
          },
          "q": {
            "type": "string"
          },
          "source_url_contains": {
            "type": "string"
          },
          "tags": {
            "items": {
              "type": "string"
            },
            "type": "array"
          }
        },
        "required": [
          "q"
        ],
        "type": "object"
      },
      "name": "recall_search"
    },
    {
      "description": "Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction.",
      "inputSchema": {
        "$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":"88669c8385621bbf805b50bf41a5b1f8618206e4507a1f0211a8f2ddb0809189","id":262104,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793032510845299,"prev":null,"subject":"46ac2dc1-a104-4fe6-9318-7be831dcfee3","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. 0xc67ce96230d88f8ca8dbd1909c6155abaaa96d5775d814e507e2c5fd8878a5fc
  2. 0x8a243f8bff8ddb2927a7cc1f92568c636013a38e4d29599c279b8df98290dfc8
  3. 0x19733f243447717e968c6e58c843ab98b1e70c1e7379d35a256a4fcad2827187
  4. 0xcaf4c3856a374daaf4f8f38aa823e6d0336404f19ee668146b44399e9600bb10
  5. 0xd310552ece55684131590aaf18100d0aa755a5ccc354b53029600ea01766ae0f
  6. 0xa7e3c9bd3f1b81a0e43e6ac3ec195c6e237e1b21d6852f36b334c078ee21f6ae
  7. 0x10ac1899793b52c22e5f208b216023d8c3f38efeb2e0dfb47f72065747ca5839
  8. 0xe85ed350c0053b4ff5a58d369a878819589de5b1648588d8165b75830f030c06
  9. 0x1b9dbe5112588a7f2b1b0ed2aa9b71047b77a5b91bfb1e88df305d0873594c3c
  10. 0xa5d93de518cc5a3e0fcb59e9d61337c743409d708b23c5352bebbbec973ca249
  11. 0xcf79908a8c2a5f4d274583b3f75e7aa2d8b29ffc384541425852fe761ae31d56
  12. 0x9d99c5dad23613921cdfabc849c2dd3c97729992eaa05c4dab5e86e83ed6d220
  13. 0x72e35aac89ebca631656c2b1aecbdc094807d9807f12c22a6ddf35cc1f5e21d6
  14. 0x5b20d8aab05225a3497eadcce89d2e2a586a510fb31334793d3f46f88f0157c5
  15. 0xe94ca5b798e9899ad611e57835af42266e20f53f44977e487d81365e30972beb
  16. 0x703f95866af09c5e5d6ead7411e9a10f964a41a2aff64d4a55ff0053c023a023
  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