addrbookFor publishers
← The evidence ledger

Evidence row 261078

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint ce17d036-6928-4d90-bd35-14d8e0f421d4
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
dac2733d50a1ed984f9f8d634ce1b8fa621d61b3a5659a55cbb409818b3170b8
Leaf
0xfd3c5dbd535994aa7271b315344b375c532afeb3ef6f4421b169515ebf92164e

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": "MPT MS: Certidão Negativa de Feitos, 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": {
          "cnpj": {
            "type": "string"
          },
          "cpf": {
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "mpt_ms_cnf_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":"dac2733d50a1ed984f9f8d634ce1b8fa621d61b3a5659a55cbb409818b3170b8","id":261078,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793032138792841,"prev":null,"subject":"ce17d036-6928-4d90-bd35-14d8e0f421d4","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. 0xfd3c132682ac8ba2b8d7c2fd3dd7df12719b5222574ff77c609f7d0cb6c93942
  2. 0x8a22ca28c35f7e0d448a2bf357e5184e7559e584ccea72dba439b65005671c4b
  3. 0x9dd4b843dc572bcb81c62613d41f2e4ae63e2e2fd08d72f596182d24b0372573
  4. 0x5df32d09f24a984008f1a73b5304542034a0d5daeadfea9db9857ef4f8432287
  5. 0xc395dd098821a5f3e2c1e19973d6c26b0247a54d7690a7bda55c1b12f6b7b406
  6. 0xe91538b6506d551ed6f8933832f5ff6f9379b5c2236be72e7e07b5e35ea17b2f
  7. 0xd1eda34082bee8a6742960a736b42cdda415e4cd75b22b2c2a664e6514f373e5
  8. 0x28e3e5f0b5e3b9455bb8c9b7037590cd72322eaa145b71acbb16e03662f30e97
  9. 0x6e1f0afcddd1b3d9cd8cd2ff05e97191611187b7d5935f01db5dc676eff2d6a4
  10. 0x18a4daa4511fe79833aca9d1cfcd84bb5da542f81ee07b2f2e60bedd15a277cc
  11. 0x2e09594bba0b7c90654eee0c9a8e6b9ed83ead47a7e7c90e73414beaf0ad4088
  12. 0xa1d268c111b09550fdb70b6d9d0b58c94dc828b083baa8f1360300aab6230a9c
  13. 0xbee644d57738676bfb20eb90d6021f364bf883a8d54f8d17e9dc4749b4074c3d
  14. 0x44945ea9ad8b24e723ad5a8fd6d014024a49531783f74ff9229c2ab6930e84c8
  15. 0x68d296b1e00b4899fb83c3fba36fffaefa311eac2903067dbebfe776a12b4a9a
  16. 0x5fb5dda563336cd1bc1b9f44c52b76237ae72ed2145cb9290f39f304ca7dd678
  17. 0x74a0a08e4e7ab9aa5bfbead33dec7e1c7e8e364cff69a63720d764bbe987aadc
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON