- ID DISCOVERY
- ENV CHECK
- CONTEXT
- HUMAN
Short answer
How do I find my OpenReplay project IDs?
Your AI uses the list_projects tool to pull a full directory of your OpenReplay environments. This gives your agent the specific IDs it needs to pull session replays or error logs without you having to hunt for them manually. You'll get a clear list of available targets for your next prompt.
Where every project lands.
Mapping your OpenReplay data.
The AI organizes your project structure so it knows where to look.
ID DISCOVERY
Project ID mapping
The AI pulls the unique identifiers for every project in your account. You get a clean list of IDs to use in subsequent commands.
ENV CHECK
Environment verification
It identifies which environments, like production or staging, are active. This prevents your AI from querying the wrong data set.
CONTEXT
Targeted querying
With the project list in hand, your AI can narrow its focus to a single environment. This makes debugging specific issues much faster.
HUMAN
Manual oversight
You decide which project or environment the AI should actually focus on. The AI provides the list, but you provide the direction.
The workflow
What your AI does when the request arrives.
The AI acts as a bridge between your chat interface and your OpenReplay dashboard.
Scan account
The AI reaches into your OpenReplay instance to see what's there.
list_projectsIdentify IDs
It extracts the specific project IDs and environment names from the response.
list_projectsConfirm targets
The agent matches your request against the available project list to ensure accuracy.
list_projectsReady for queries
The AI holds these IDs in its context, ready to fetch replays or logs.
list_projects
Try it
Copy these to start.
Use these prompts to kick off the connection.
Starting points
These are basic starting lines. You can swap out project names or environment types to be more specific.
OpenReplay Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_wnk1KautKpY80U2mk7obCeYB3o5isdyqsTp6s29d/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — OpenReplay capabilities are ready to use.
{
"mcpServers": {
"openreplay-mcp": {
"url": "https://edge.vinkius.com/vk_preview_wnk1KautKpY80U2mk7obCeYB3o5isdyqsTp6s29d/mcp"
}
}
}List all my OpenReplay projects so I can see my project IDs.
Which environments are available in my OpenReplay account?
Find the project ID for my production environment.
Show me all active projects in OpenReplay.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect OpenReplay once, then ask.
Just link your account once. Your credentials stay encrypted, and you can immediately start asking your AI about your session data.
Connect OpenReplay to your AIFAQ
How this task behaves.
- 01
Can the AI create new projects in OpenReplay?
No. This specific task only allows the AI to read and list existing projects.
- 02
Does the AI see my session replays automatically?
No. The AI first needs to identify the project ID using the list tool before it can look at specific session data.
- 03
Will the AI delete any of my project data?
No. The AI only has permission to list and read project information.
- 04
Can I use this with Claude or Cursor?
Yes. Any MCP-compatible client like Claude, Cursor, or Windsurf can use this once connected.
- 05
How does the AI know which project I'm talking about?
It uses the list_projects tool to build a map of your account, then matches your words to the IDs it found.
More questions about OpenReplay? See everything the OpenReplay Connector can do
Connect OpenReplay to Claude, Cursor, ChatGPT & more
