Extract lead details during chatbot conversations

When a new lead is captured in chat via Glean, automatically run the conversation text through Atlassian MCP to classify intent and extract key contact metadata.

Try:

See all Glean + Atlassian MCP integrations or talk to a human

Trusted by teams already building on Knit·

4.9/5 on G2·

Google for Startups Accelerator

How Knit builds this workflow

The Agent researches both APIs and wires the trigger on one side to the action on the other — no pre-built connector required. Here is the vocabulary it has to work with.

Glean Explore Glean →

Triggers

New conversation started

Fires when a new chat or conversation begins in Glean.

Lead captured in chat

Fires when Glean captures a lead during a conversation.

Conversation handed off

Fires when Glean escalates a conversation to a human.

Actions

Send a message

Sends a message to a user through Glean.

Generate an answer

Asks Glean a question against its knowledge base and returns the answer.

Summarize a conversation

Uses Glean to summarize a chat transcript.

Create a ticket from a chat

Opens a support ticket from an Glean conversation.

Atlassian MCP Explore Atlassian MCP →

Triggers

New completion generated

Fires when Atlassian MCP generates a response to a prompt.

Model run failed

Fires when a request to Atlassian MCP errors or times out.

Fine-tune job completed

Fires when a fine-tuning job in Atlassian MCP finishes.

Actions

Generate a completion

Sends a prompt to Atlassian MCP and returns the model's response.

Summarize text

Uses Atlassian MCP to summarize a block of text.

Classify or extract data

Uses Atlassian MCP to classify or extract structured data from text.

Send custom completions back to chat visitors When a conversation starts in Glean, generate a completion in Atlassian MCP and send a tailored message directly back to the visitor. See details

Alert support agents when model fine-tuning completes When a fine-tune job completes in Atlassian MCP, automatically send a message through Glean to notify AI administrators that the updated model is ready. See details

See all Glean + Atlassian MCP integrations → · Browse the full workflow library →

Enterprise-grade security

Visit our Security Center Review the DPA

FAQ

Common questions

Can Knit build “Extract lead details during chatbot conversations” between Glean and Atlassian MCP?

Yes — describe it in the box above and Knit's Integrations Agent researches Glean and Atlassian MCP's public API docs (or your own uploaded docs) and builds a working workflow, whether or not either app already has a pre-built connector.

How long does it take to build?

Minutes to a first working version, not weeks — you test it against real data before it goes anywhere near production.

How does connecting Glean to Atlassian MCP expand chatbot capabilities?

Connecting Glean to Atlassian MCP allows your chatbot to tap into advanced AI models for deeper context, sentiment classification, and sophisticated text generation beyond standard scripted responses.

Can Glean notify operators if a backend model process encounters an issue in Atlassian MCP?

Yes, when a model run fails in Atlassian MCP, you can send an automated message or alert through Glean to notify system administrators.