Debug webhooks from your AI agent: inspect and replay captured webhooks on localhost.
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Average 3.9/5 across 5 of 5 tools scored.
Each tool has a clear, distinct purpose: retrieving captured requests, listing them, listing tunnels, replaying a captured request, and sending test webhooks. No two tools overlap in functionality.
All tools follow a consistent verb_noun snake_case pattern (e.g., get_request, list_tunnels, replay_request). The naming is predictable and uniform.
With 5 tools, the server is well-scoped for a webhook tunneling debugger. Each tool serves a core function without unnecessary bloat or missing essentials.
The set covers the primary workflow: inspect, list, replay, and test webhooks. A minor gap is the absence of a delete request tool, but the core functionality is solid.
get_requestGet the full request and response (headers + body) of one captured webhook by id.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | ||
| subdomain | Yes |
list_requestsList recent webhooks/requests captured for a tunnel. Returns id, method, path, status and bodies.
| Name | Required | Description | Default |
|---|---|---|---|
| subdomain | Yes |
list_tunnelsList the user's Pipehero tunnels and whether each is currently online.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
replay_requestReplay a captured webhook to the user's localhost (the tunnel CLI must be running).
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | ||
| subdomain | Yes |
send_test_webhookSend a generated test webhook to the user's localhost (the tunnel CLI must be running). Provide a provider (stripe, github, shopify, clerk, slack, resend, paddle, polar, lemonsqueezy) and optional event for a realistic sample payload, or pass a custom JSON body. Pro plan required.
| Name | Required | Description | Default |
|---|---|---|---|
| body | No | Custom JSON body (overrides the template) | |
| event | No | ||
| provider | Yes | ||
| subdomain | Yes |
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
Control your server's listing on Glama, including description and metadata
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For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
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