← The evidence ledger
Evidence row 262564
Observed , by probe.mcp/1.
- Kind
- mcp.tools
- About
- endpoint 766bb215-15e3-4ca7-8f82-0ce296c0c09e
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- 60c815664915c3ecfcf1a2e8b9759e86c296fca340b62bbf12652da31da29289
- Leaf
- 0x8ebf55fa419390b63a56951ec867328d2b3359ff821fbc0f3444817c72add242
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": "SEFAZ PB: Emissão Dar, 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": {
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"cnpj": {
"type": "string"
},
"cpf": {
"type": "string"
},
"placa": {
"type": "string"
},
"renavam": {
"type": "string"
}
},
"required": [
"placa",
"renavam"
],
"type": "object"
},
"name": "sefaz_pb_emissao_dar_consultar"
},
{
"description": "Show the current MCP platform and adapter versions.",
"inputSchema": {
"$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":"60c815664915c3ecfcf1a2e8b9759e86c296fca340b62bbf12652da31da29289","id":262564,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793032733046604,"prev":null,"subject":"766bb215-15e3-4ca7-8f82-0ce296c0c09e","subject_kind":"endpoint"}Proof
Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (296695 rows).
- 0x8ebf7e80d44e98e3e9e9ad4c431285ff3afa12d681194bb0833b9cfb8072e8cb
- 0x0f1b00e1c60ffdfb3914dd55cebd461b10cd91aa9f9884e47aa8081863f19fc7
- 0xb3a8dcab930425eb808e30a8fc6cf7cbf06b9d8de06baa42a94e72b66c61b2a3
- 0xc0fda4974e8714294f7f2154601af3486297c6b94206af14a14fa8db42f017de
- 0x0442d3b3435fef08e81e3cb64fab7bed79878db46a2ffea09e3b6875cb91c399
- 0x9f0b09f645691e972806c21ada6e499082ade06d598ba6d2c7faa775c3f626a4
- 0x073a65d6067a32b24b96a232aa0d8d7c925b1e2b7f5556c765f2a8205d2bcbd1
- 0xfbc5503c380e3ee58408fa01dd24b021e5d12c6d7e875fca5919b51dfbcc5fc5
- 0x915f54d1c0d4d74646103f9348bdb9f96123ac7599363e5bf0a669b11f0f9613
- 0x02cea32eaae167a2578d4aa6a6cadcfd2489101bb2f082b75b13e52a19942bdb
- 0xf44f104cf96a81c75851a644746103fcbe6ade398683a18e789cc91eff4537ff
- 0x59a4efa65a01e4e2abdb3b8b7bb673db6d1c72e0f9d52dd2f94777b14a5b061c
- 0xc0cb184c9bdf71abcf18fda97bd59289153d120dbf8fee9f517b63bf303deb95
- 0xf0edabbb9ba0d643e5505d19d07637eb6f6aed0a1c7356af43ae7d84ae9ef0c5
- 0xf0bd63870f0bb378fa300bd33563050dcb7b3e02b44eb3ee550c1c534ec4b246
- 0x1ac20d30773e1f4f2f811540e9a99b5cca9177c9e2e029acc0d80cf3f1d11f0f
- 0xd21942ae3214eff88e08ab04884fd4b11958b51af9a0741b7668e2d07a2c56c9
- 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
- 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
- Day root
- 0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
- Chained
- 0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
- Published
- On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae