One address, your login
Add https://app.talalevel.com/mcp as a custom connector in Claude, ChatGPT or Cursor and sign in. You choose what it may do: read, change or send.
Connect TalaLevel to the AI app you already use, with one address. Ask who to call back, prep a call, add the tasks, draft the follow-ups. Nothing reaches a lead until you say yes.
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https://app.talalevel.com/mcpIn Claude, ChatGPT or Cursor, add a connector and paste the address.
Use your own login. No key to copy, nothing to install.
Read, change or send. Change it or cut it off any time in Settings.
Anything that would reach a lead is shown to you first and waits for your yes.
Add https://app.talalevel.com/mcp as a custom connector in Claude, ChatGPT or Cursor and sign in. You choose what it may do: read, change or send.
Every call with its transcript, every text and every email, plus your tasks and calendar. Ask it to prep you for the three o'clock.
Notes, statuses, tasks and lists, made as you and named in the app's activity log, so you can see what it did.
A text, an email or a batch is shown to you first and waits. Without send permission it can only leave a draft for you.
An opt-out, quiet hours, a landline or the day's limit blocks a send, and the AI app is told why and not to work around it.
The same tools for scripts with npx talalevel, and a plugin for Claude Code. Both are open source on GitHub.
MCP, the Model Context Protocol, is the standard way an AI app such as Claude or ChatGPT connects to another product. A CRM's MCP server lets the AI app read and work your leads. TalaLevel's is at https://app.talalevel.com/mcp.
Add a custom connector in the AI app with the address https://app.talalevel.com/mcp, then sign in with your TalaLevel login. When you sign in you choose what the app may do: read, change or send.
Find a lead, read every call, text and email with them, prep your next call, plan your day, add notes and tasks, change a status, and draft texts and emails. With send permission it can send them, after showing you each one.
No. Every text, email, batch and AI caller run is previewed and waits for your yes. Without send permission the AI app can only leave a draft in your own text box for you to send.
No. A STOP, quiet hours where the lead is, a landline or the day's limit blocks a send whoever asked for it. The AI app is told the reason and told not to work around it.
A lead's words are treated as data. Texts, emails and call transcripts are fenced off, so nothing a lead writes is read as an instruction to your AI app.
Yes. npx talalevel gives scripts the same tools by the same names, signed in with a key from Settings. There is also a plugin for Claude Code. Both are open source under the MIT licence at github.com/bcssewl/talalevel.
Yes. You can change what a connected app may do, or cut it off, at any time in TalaLevel under Settings, AI apps.
Yes. Any AI app that supports MCP connectors can use the address. For Claude Code there is also a plugin that adds the connector and a skill for working a sales floor.
Reading tools such as search_leads, get_lead, get_lead_timeline, get_texts, get_call, list_tasks and list_events, ready-made commands such as prep_for_call, my_day and follow_ups, tools that change notes, statuses, tasks and lists, and send_text and send_email.
Not for an AI app: you sign in with your TalaLevel login. The command line uses a key from Settings.
Yes. When you sign in you choose read, change or send, and with read alone the AI app can look but not touch.
Yes. A change is made as you and named in TalaLevel's activity log, so you can see what was done and when.
Yes. The command line gives scripts and loops the same tools, so an agent can check for callbacks every morning and leave drafts for you to send.
Yes. Tala, inside the app, answers leads by text and email and does the follow-up. The connector is for teams who also want to work from Claude, ChatGPT or their own agents.
Yes. With the connector, ChatGPT can look up a lead, read your calls and texts with them, add tasks and draft messages in TalaLevel.