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Attention records your sales touchpoints across meetings, emails, calls, CRMs and more. Our AI agents that learn from that data and automates busywork: follow-ups, next steps, CRM filling, coaching…
Attention records your sales touchpoints across meetings, emails, calls, CRMs and more. Our AI agents that learn from that data and automates busywork: follow-ups, next steps, CRM filling, coaching… This page documents every listed tool: what it does, how to install it, and the input fields an agent should send.
Navigates to Attention's demo-scheduling page (powered by Default). The page opens a calendar where the user picks a time with the sales team. Optionally pre-fills a note with context (company, team size, use-case).
Open the attention.com website and ask your browser agent to use book_demoInstall browse first, then run the command in a terminal. WebMCP tools run directly on the website and do not need a package install.
Use the book_demo tool on attention.com with note: <string>. Return the structured result and cite the source page.note string Optional context (company name, use-case, team size) to pre-fill on the booking form.Searches the Attention product docs and API reference by filtering the published llms.txt index at docs.attention.com/llms.txt. Returns an array of {title, url, snippet} matches. Use this before recommending doc pages to the user so citations resolve to real URLs.
Open the attention.com website and ask your browser agent to use search_docsInstall browse first, then run the command in a terminal. WebMCP tools run directly on the website and do not need a package install.
Use the search_docs tool on attention.com with query: <string>, limit: <integer>. Return the structured result and cite the source page.query string Search terms, e.g. 'scorecards', 'MCP server', 'Salesforce integration', 'SCIM'.limit integer Maximum results to return.