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Evidence row 262432

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint d68c2a82-410b-4479-9105-fb9206d88fbf
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
a32bf3b343c8828fed4c5ff4edcd2f21015dd8d0702f67e33e7e953a33f31223
Leaf
0x18bdf1fb6b04d5e856f190de07ef21e1e319788e58f086486891791e4c1456b0

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": "Receita Federal: CTe, consulta em fonte oficial. Hospedado pela plataforma, sem credenciais da plataforma, pague por consulta com crédito pré-pago. Consulta informação de fontes e órgãos oficiais brasileiros (a mesma disponível ao cidadão), não é dado sigiloso. O cliente é o controlador dos dados e responde pela finalidade legítima (LGPD).",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "cte": {
            "type": "string"
          },
          "pkcs12_cert": {
            "type": "string"
          },
          "pkcs12_pass": {
            "type": "string"
          }
        },
        "required": [
          "cte"
        ],
        "type": "object"
      },
      "name": "receita_federal_cte_consultar"
    },
    {
      "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":"a32bf3b343c8828fed4c5ff4edcd2f21015dd8d0702f67e33e7e953a33f31223","id":262432,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793032630203311,"prev":null,"subject":"d68c2a82-410b-4479-9105-fb9206d88fbf","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. 0x18be6340bf2b78028bfc28e1ae611cac85ccfa057bb8c5b93d390aa981eaf77a
  2. 0x49c054ef5e39718cd453bf62f784a7c390ca2376cc5b95a1acb348ed577a742b
  3. 0xbdf9021a3678b055869b77ab59f45547123290a46642fb33382ec5539be2e9a2
  4. 0xbe50adac3018cb0a4399572f871fef85b8e1ebf96cbae4826dd7e6fd399b8cae
  5. 0x620b7fa0d8c0aa84427a9c862e84a96871e4463b0d55a01619fd8e4df741b17c
  6. 0x3c6eb786d9ebc84a53c8a0099ed342c231ae3bd0db0da58be3cf2c49ba0a3a76
  7. 0x0c773dcd4bc555a65e2c55b8cfaa6eaa00c224620a0e85101a7c074c24a146df
  8. 0x146e74c936c65bb2428f62c110aed066810c3c6d0c387b714b4d5991572e41cc
  9. 0x34d8518289565739865be381d2d981b9fd7cbacc9818c2721b6412c40c512369
  10. 0xcb3e3aedb72ed8e61cbaa8991a4949a4faf974931a0daec4005c2e39529d76a8
  11. 0x04d98d8716f171bd2264c6c49606521f410107287c5094c713f72cdf2fe1e1ed
  12. 0x15eab8feed5b3f08165d63b9f1aed508c0624966a05349e051f86f0c188707b5
  13. 0x32f46c5f73ecbfd4f770f7f760a79bee2afed4b3e7572fa882b3e7dce8df4356
  14. 0x770e4376196188c7fc9ec40f8e218dc0d1cb92bba5fe0425a0edce27ca9a997f
  15. 0x60582ab4b41e72eb70eb0bce07fbf0fb4d2b62a8bad5be50f5d16d511adc746c
  16. 0xc6a4d7899a0f442958e26505011190b7cff2483611c1b94eba9043e0ba9ac36e
  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