Ask your AI anything about customer feedback.

Gleap MCP connects Claude, ChatGPT, Codex, Cursor, and VS Code to your workspace.

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Connect your assistant
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01
Gleap MCP server
Customer context inside your AI assistant.
Connect once through the Gleap MCP server
Read setup guide
Trusted by 4,500+ companies
Your AI assistant finally knows what happened. Connect Gleap once, then ask your assistant to find customer issues, prepare replies, summarize feedback, draft docs, or explain support trends without switching back into dashboards.
What your assistant can help with
Customer-facing outcomes, not raw data exports
Find the right conversation
Ask what is urgent, unassigned, blocked, or waiting on your team, then jump straight to the right ticket.
Understand a customer
Pull profile details, company context, recent conversations, and history before writing the next reply.
Answer with product knowledge
Search help articles, internal knowledge, resolved issues, and product behavior before responding.
Create helpful content
Draft help articles, release notes, changelog updates, and customer-facing news from the same prompt.
Turn feedback into roadmap signal
Deduplicate feature requests, subscribe customers, and keep roadmap items tied to real conversations.
See what is changing
Summarize survey feedback, support performance, response times, and trends without exporting reports.
Connect once, then ask naturally
Claude, Claude Code, ChatGPT, Codex, Cursor, VS Code.
Add Gleap as an MCP connection in your AI tool, choose the Gleap project it can access, and start asking customer questions in plain English. Most teams use OAuth. Clients that support custom headers can connect with a Gleap API key and project ID.
Read setup guide
Connect the AI tools your team already uses
Same Gleap workspace. Different assistants.
Claude
Add the Gleap MCP server, approve OAuth, and ask Claude about tickets, contacts, docs, and trends.
Claude Code
Bring customer context into development workflows while you investigate bugs or product questions.
Codex
Use Gleap context inside MCP-compatible Codex workflows when customer issues need engineering follow-up.
ChatGPT
Connect ChatGPT-compatible MCP workflows to the same customer and product context from Gleap.
Cursor
Let Cursor understand support tickets, similar issues, and product knowledge while you work in code.
VS Code and custom clients
Use the same server URL with VS Code, internal assistants, and any client that supports MCP connections.
Use the API for product workflows
When your backend should call Gleap directly.
MCP is for people asking AI assistants to work with Gleap context. The Server API is for product code, imports, reporting jobs, and scheduled workflows that should run the same way every time.
Open API docs
“Essential to our development process.”
Gleap was implemented within minutes and helps MARK.ONE fix bugs quickly while building real customer relationships.
Mark Breuß
Founder, MARK.ONE
Ways teams use it
Customer context, right where work happens.
01
Catch urgent work
Ask what is waiting, who owns it, and what changed since yesterday. Get a concise action list.
02
Prepare better replies
Ask for customer context, similar solved issues, and product details. Reply with confidence from one place.
03
Close feedback loops
Turn repeated requests into roadmap signals, docs, and follow-ups. Keep customers updated without extra digging.
About the MCP server
What is the Gleap MCP server?
It is the secure connection between Gleap and AI assistants like Claude, ChatGPT, Codex, Cursor, and VS Code. Once connected, your assistant can use customer context from Gleap while you work.
Is the Gleap MCP server free?
Included in every paid Gleap plan. MCP usage is subject to the same underlying Gleap API rate limits that protect your workspace and our infrastructure.
Which AI tools can connect?
Claude, Claude Code, ChatGPT, Codex, Cursor, VS Code, and custom MCP-compatible clients can connect to Gleap depending on the MCP and authentication options available in that client.
How do I connect it?
Add https://mcp.gleap.io/mcp as the MCP server in your AI tool, approve access with OAuth, and choose the Gleap project it can use. Header-based clients can connect with a Gleap API key and project ID.
What can my assistant do with Gleap?
It can help with tickets, messages, contacts, teams, statistics, help center content, news, feature requests, surveys, knowledge search, similar resolved issues, and product-code questions.
When should I use the Server API instead?
Use MCP when a person is asking an AI assistant to work with Gleap context. Use the Server API for backend systems, imports, scheduled jobs, and deterministic integrations.
Give your AI assistant customer context.
Start free trial
Read setup guide
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