Excuse
Server Details
excuse MCP — wraps StupidAPIs (requires X-API-Key)
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- pipeworx-io/mcp-excuse
- GitHub Stars
- 0
- Server Listing
- mcp-excuse
Glama MCP Gateway
Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.
Full call logging
Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.
Tool access control
Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.
Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Tool Definition Quality
Average 4.5/5 across 31 of 31 tools scored. Lowest: 3.6/5.
Most tools have clearly distinct purposes, e.g., ask_pipeworx for general queries vs. ask_pipeworx_grounded for high-stakes answers. The Polymarket tools (bet_research, polymarket_arbitrage, etc.) are closely related but differentiated by their specific functions (research, arbitrage detection, edge analysis, fill risk). A slight potential for confusion exists among the many Polymarket tools, but descriptions mitigate it.
All tools use snake_case with a predominantly verb_noun or noun_verb pattern (e.g., ai_visibility_check, compare_entities, generate_llms_txt). The naming is uniform and predictable, with no mixing of camelCase or other conventions.
With 31 tools, the server is on the larger side but remains reasonable for a comprehensive data platform. The tools cover querying, verification, comparison, monitoring, and memory, earning their place. A few tools (e.g., excuse_generate, forget) seem peripheral, but overall the count is justifiable.
The tool set is extremely thorough for its purpose as a data research platform. It includes querying, grounded answers, deep research, entity profiles, comparisons, claim validation, dependency scanning, AI visibility checks, prediction market analysis, alert subscriptions, and contextual memory. No obvious gaps are present.
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.
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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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