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Evidence row 262832

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint cd2c77b4-e838-47d6-ab08-93c599e28f89
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
cbede4f92560754b3e58e02ec3b946aeccdc03dd2065d69ec6ad7ff22d6af43f
Leaf
0x3ffbdcd3433b8189a77f35891806cbe913443006fa2ed1600b0c84e6891677cb

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": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {},
        "type": "object"
      },
      "name": "show_version"
    },
    {
      "description": "Compara os dados informados de uma pessoa no México (CURP, nome, nascimento, endereço) e retorna o grau de similaridade com o cadastro. Hospedado pela plataforma, sem credenciais, pague por consulta com crédito pré-pago. Consulta informação de ACESSO PÚBLICO em bases e fontes oficiais (a mesma disponível ao cidadão), não é dado privado nem sigiloso. O cliente é o controlador dos dados e responde pela finalidade legítima (LGPD).",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "Address": {
            "type": "string"
          },
          "CURP": {
            "type": "string"
          },
          "City": {
            "type": "string"
          },
          "DOB": {
            "type": "string"
          },
          "Name": {
            "type": "string"
          },
          "Phone": {
            "type": "string"
          },
          "PostCode": {
            "type": "string"
          },
          "State": {
            "type": "string"
          },
          "Surname": {
            "type": "string"
          },
          "completo": {
            "type": "boolean"
          }
        },
        "required": [
          "CURP",
          "Name",
          "Surname",
          "DOB",
          "Address",
          "City",
          "State",
          "PostCode",
          "Phone"
        ],
        "type": "object"
      },
      "name": "similaridade_mx_consultar"
    },
    {
      "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":"cbede4f92560754b3e58e02ec3b946aeccdc03dd2065d69ec6ad7ff22d6af43f","id":262832,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793032921681522,"prev":null,"subject":"cd2c77b4-e838-47d6-ab08-93c599e28f89","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. 0x3ffbe0208db9f00664c71ccd9bb76262ed9300d24c04e1860f76782d4f3b7f24
  2. 0x1f5af8c72766006a9da8ef150fc5ffc464d06ecb720e674396a9b459d8806f63
  3. 0x37c5eaf34a033099181892029962c3020f3fad948471326fcb4f5338a2d7ce29
  4. 0xbed27a75ddf9d1afd5758d8ff83645c6473c4e205bc9ce397c0715b00ff297a4
  5. 0x267ed697d19ad16adb18e8d2bfcf4c6581b8056961e1d738d0c916a3c64bd44e
  6. 0x8df4ccc4dd5a5df236d8fe9fb33f298bf694ada291b3903ea33aeee4ef42fd3e
  7. 0xda3470cfe62891c5930b1fff867b46c8dd5458c93cfabb34e235c4e310e2d24e
  8. 0x24ba0fea73ad71cc5e531361cf5f447a8c998a3a79b45a4c1264efe7cb243902
  9. 0x4838e66771fd133c28a61d579c1a2a5e287c010773f681dabd0604a2c37c1499
  10. 0x4d366760261fa90306fab3a8c581c54f763c4071921cde42a107575598a3bf45
  11. 0x6ec69a305a23b604ab679d75c3502d235953d73d9c2a74b16fb74b49af695fa0
  12. 0xe2bb2a30c74e0bf16b8b75c332bdd45334d0338bef3f3022b7ea7b55718e1369
  13. 0xd406739acce2ba016f8d49081b15f266a4ea4a0b0fc5ef171c89c8fd2dda4d80
  14. 0x8b27a4c21bf4ba962fd008c8f4300bc6953764a5032b9ab0cfe696b318c45326
  15. 0x4b52a97f7a80ff7778a702b85267b8d2e5c93ce160942656435c29ae7be68bf4
  16. 0x2e6a32eb32761c210560e852405e2f865f958ddbe01027894f8b9c1b3433b9f0
  17. 0x9a83be955a206deb65b995adfd92c58fa31c95fbbf926bd199d300e70b08b26d
  18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON