Your Plaud recordings in natural language: list recordings, read speaker-attributed transcripts and
Scored across 11 tools
The Plaud-specific tools are clearly distinct, but 'marketplace' is a mega-tool that appears to cover search, invoke, install, subscribe, prompts, and bug reporting — overlapping with connect, toolkit_info, and the standalone report_bug tool. An agent could easily pick the wrong entry point for connection status, installed tools, or feedback.
There is a clean plaud_get_* / plaud_list_* cluster, but the platform tools mix verbs and nouns: authenticate, connect, marketplace, report_bug, show_version, toolkit_info. The naming is readable and the Plaud prefix helps, but the overall pattern is inconsistent.
Eleven tools is a reasonable count and mostly well-scoped for a Plaud integration plus MCP platform management. It is slightly heavy because 'marketplace' bundles many sub-capabilities into one tool while several small utility tools exist separately.
The Plaud retrieval surface covers user, recordings, recording details, transcript, and AI notes, which is sufficient for the main use case of accessing Plaud data. Minor gaps exist around delete/update operations, but recordings are created externally by the hardware, so read-focused coverage is acceptable.
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: "" } after the user pastes, or with no args to get the link.
Inputs: token.
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.
Inputs: no named parameters.
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/ link that opens without login.
Inputs: limit, query, action, mcp_id, +19 more.
Notas geradas por IA de uma gravação: resumo compacto, action items e tópicos-chave.
Bulk support: accepts file_ids for batched execution.
Inputs: file_id (required), account, file_ids.
Detalhes de uma gravação Plaud por ID.
Bulk support: accepts file_ids for batched execution.
Inputs: file_id (required), account, file_ids.
Transcrição completa com timestamps e atribuição de falantes de uma gravação.
Bulk support: accepts file_ids for batched execution.
Inputs: file_id (required), account, file_ids.
Dados do usuário Plaud autenticado.
Inputs: no named parameters.
Lista gravações Plaud. Filtros opcionais: query (substring do nome, case-insensitive), date_from/date_to (YYYY-MM-DD, inclusivo). Com filtro, pagina até 5×100 e retorna todas.
Inputs: page, query, account, date_to, +2 more.
Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction.
Inputs: message (required), context, conversation.
Show the current MCP platform and adapter versions.
Inputs: no named parameters.
Returns the current toolkit state: installed MCPs, their connection status, the accounts connected to each one, and how many catalog tools each exposes.
Inputs: no named parameters.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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Search and read your recorded meetings, calls, interviews and lectures, with speaker names.
Find recorded calls and meetings, read transcripts, and ask questions grounded in your recordings.
Your recorded calls and meetings: search transcripts, file recordings, save notes.
Your Microsoft Teams call transcripts, with real speaker names: search, read, ask.
Add one secure layer between your agents and this server.