OctoPerf
Server Details
Drive OctoPerf load testing from any AI agent — import, edit, validate, run scenarios, read metrics. Hosted remote server, OAuth 2.1 (DCR + PKCE), no API key.
- Status
- Unhealthy
- Last Tested
- Transport
- Streamable HTTP
- URL
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 4.4/5 across 96 of 96 tools scored. Lowest: 3.7/5.
Most tools have clearly distinct purposes, aided by detailed descriptions. However, the presence of both update_ and patch_ variants for the same entity (e.g., update_scenario vs patch_scenario) and similar validation tools (get_validation_failure_detail vs fetch_validation_http_body) could cause confusion without careful reading. Overall, disambiguation is good but not perfect.
All tool names follow a consistent verb_noun pattern in snake_case, making them predictable. Even compound verbs like 'sanity_check' and long phrases like 'add_correlation_framework_to_project' maintain the pattern. The naming is highly consistent.
With 96 tools, the server vastly exceeds the typical well-scoped range of 3-15 tools. While each tool may be justified by the complexity of the performance testing platform, the high count makes the tool set overwhelming and reduces coherence for an agent.
The tool surface is comprehensive, covering creation, reading, updating, deletion, validation, scheduling, import/export, and analysis for most entities. Minor gaps exist, such as no direct list of all bench results (only via reports) and no bench result deletion, but these are workable.
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
Access analytics and receive server usage reports
Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
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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