addrbookFor publishers
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Evidence row 263410

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint 0cc5729c-1738-4747-8441-58b53c362dea
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
9cd16f25b39ee209c9059ca6f5159daea7f63bc0e23d68bd2c7206c466b18f99
Leaf
0xdf48156f4e254dff409dd12f4945239813876cc0f62c23a4d1e4f7dc5196f3e7

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 quitação eleitoral de uma pessoa no TSE a partir do nome, CPF, título, data de nascimento e filiação. 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"
          },
          "NOMEMAE": {
            "type": "string"
          },
          "NOMEPAI": {
            "type": "string"
          },
          "NUMEROTITULOELEITORAL": {
            "type": "string"
          },
          "Nome": {
            "type": "string"
          },
          "completo": {
            "type": "boolean"
          }
        },
        "required": [
          "Nome",
          "CPF",
          "NOMEMAE",
          "NOMEPAI",
          "NUMEROTITULOELEITORAL",
          "DATANASCIMENTO"
        ],
        "type": "object"
      },
      "name": "tse_quitacao_eleitoral_consultar"
    }
  ]
}

What the leaf hashes

{"body":"9cd16f25b39ee209c9059ca6f5159daea7f63bc0e23d68bd2c7206c466b18f99","id":263410,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793033443674408,"prev":null,"subject":"0cc5729c-1738-4747-8441-58b53c362dea","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. 0xdf4806607db517802d5d52b3bbb325247b82ea721690df2041b3c21098d6a7be
  2. 0xeae824ea78dee3038b43fe1a9722f79ca4dbec68b1382ab8bb807a0df75027ac
  3. 0x16df18899ed3e89e908a9b554a1515b9413fd08b474362b0a6f88e49a26315ab
  4. 0x5c2b7b026bffbed6880c0721224389e19828da0b78e3dce425326c3eb5bc9484
  5. 0x0dc78861bb7839ec1096a33229d21d33765e8aa64d7c448ade23b7d732200c3f
  6. 0x1c293775661f7cadcb0b98fd2f8d046d25ba5a5d28ae01a956db75f85ba1b4a8
  7. 0xc0f955799241a1b5adfb6aec460736acb59151482e7ffe2a5a5c996b1aa1c200
  8. 0x3dec0b56ead92fa4fbdb0b9bee7d8527c84d1890037ee6757788308ea1d8c5ae
  9. 0x9cf6202d33cb2457951c93479f7b30cdc516160fc113e5afcdb06c832e12a535
  10. 0x31ae1db8a7234b94d9fe5367527c887819eae31f8682d2506d2e71c84c07ccd6
  11. 0x81e0a64a684968fee123ac8017e882fda3952628b73684e4b974157cf7552f06
  12. 0x1cde596bd397df62b2525df79e5a761af7d1a292cbcfd283ea8977aecf9334e7
  13. 0x3fcdf7fa32ccefe771eb57ae3015142065d64e3ce732fea7d11b9a3c99dde44f
  14. 0x0b7541c75cc482a7134110311d7dbd02095d969ba21177de9b21a52a55981718
  15. 0x6dc40f983a3840a0ad927a9ca17f4ff1e3b649a6c735e2a09b140db7c2caf13b
  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