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Evidence row 260910

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint 03969be1-7942-4323-8f1b-8f30478843e1
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
0bff7c060160c99d0896e5c04ae627f3cb514b55308df3d46286cc998a1a9fb2
Leaf
0x20d2a74962c588519af5512a127d409007e475fd6ab3ec596621556959691147

What was observed

{
  "count": 11,
  "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": "Notas geradas por IA de uma gravação: resumo compacto, action items e tópicos-chave.\n\nBulk support: accepts file_ids for batched execution.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "account": {
            "type": "string"
          },
          "file_id": {
            "type": "string"
          },
          "file_ids": {
            "items": {
              "type": "string"
            },
            "type": "array"
          }
        },
        "required": [
          "file_id"
        ],
        "type": "object"
      },
      "name": "plaud_get_notes"
    },
    {
      "description": "Detalhes de uma gravação Plaud por ID.\n\nBulk support: accepts file_ids for batched execution.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "account": {
            "type": "string"
          },
          "file_id": {
            "type": "string"
          },
          "file_ids": {
            "items": {
              "type": "string"
            },
            "type": "array"
          }
        },
        "required": [
          "file_id"
        ],
        "type": "object"
      },
      "name": "plaud_get_recording"
    },
    {
      "description": "Transcrição completa com timestamps e atribuição de falantes de uma gravação.\n\nBulk support: accepts file_ids for batched execution.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "account": {
            "type": "string"
          },
          "file_id": {
            "type": "string"
          },
          "file_ids": {
            "items": {
              "type": "string"
            },
            "type": "array"
          }
        },
        "required": [
          "file_id"
        ],
        "type": "object"
      },
      "name": "plaud_get_transcript"
    },
    {
      "description": "Dados do usuário Plaud autenticado.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {},
        "type": "object"
      },
      "name": "plaud_get_user"
    },
    {
      "description": "Lista gravações Plaud. Filtros opcionais: `query` (substring do nome, case-insensitive), `date_from`/`date_to` (YYYY-MM-DD, inclusivo). Com filtro, pagina até 5×100 e retorna todas.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "account": {
            "type": "string"
          },
          "date_from": {
            "type": "string"
          },
          "date_to": {
            "type": "string"
          },
          "page": {
            "type": "number"
          },
          "page_size": {
            "type": "number"
          },
          "query": {
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "plaud_list_recordings"
    },
    {
      "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":"0bff7c060160c99d0896e5c04ae627f3cb514b55308df3d46286cc998a1a9fb2","id":260910,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793032009642439,"prev":null,"subject":"03969be1-7942-4323-8f1b-8f30478843e1","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. 0x20d2f26555d69bd029360c755d9eccd0abddc909cb51217ab38d26dbd2f2e132
  2. 0xb6b500c3c21158bbfcf209ea646eab9712f656361a3e8ec6099ca5895a6c1443
  3. 0xfc5d2a2e8a7a8c5d8dfbe170912597f3aa08557b9639d6092ad4fb9ef1e99c2a
  4. 0x254263c9d074d460aa3c029a08b1f398283070831efd5d3b24f9e3645ffe0149
  5. 0x141ab03c3589f962aa742dc16a79e3876e90517367b870b788ee0d045235a3e2
  6. 0x6b81838e3f0335b8cdc40231ecf904b1221a023d24aa0e331631b0c25247d177
  7. 0xb361978338eaf31a49d6e9b4338363fff2a06d53bfd6f62947a684bd1723350c
  8. 0x99b450fcc04f04d458ce5f9a02deafd8865db6f17fcb021fb33276dd770c2016
  9. 0x1df53eea89402533b149ef41aa8545e434904d40b1ff2ef8f22ac3128edbaec2
  10. 0x079e691201f8fe8ea3718cede784dde70b1316094e3ad526df647841955fcee3
  11. 0x057e71ed555693238850b77237df28dd2661cf85c88138365b7e42941201ad01
  12. 0xfde157310fc8513767b162378ca9ceefb2937c374b7381a8887f7ccba8ab5a80
  13. 0x9d75d4d3ab6219edefa04be60b32fdd56be7a7672f370a5115f02f7b098ecd27
  14. 0x9dfd312f3d4937f7cb144cee3987e8516f222932b4ea286605236d73cfa1ed16
  15. 0xc3a6a3ae44ec0da1848b16d40c45d7aac97a67352eea8df18e0f26edabea8a2f
  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