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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, the action or answer it provides, its installation command, 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.