Analytics
agentbenchmark.dev
Measures workflow execution by registering runs, marking stages, and recording actual API usage for analysis.
ENDPOINT 1
https://survey.agentbenchmark.dev/mcp
MCP server metadata
- Name
- ami-survey
- Version
- 1
Records what an agent workflow cost - tokens, calls, timings, model, price, per-stage effort and a graded quality assessment - so the same workflow can be compared across agents and models. Take the survey only when a human asks for it, in a turn of their own, after the work is finished. Every number must come from a record, never a recollection. If a value cannot be retrieved, say so; a gap is useful and an invented number silently corrupts every comparison the dataset exists for. Submissions made here are recorded as SELF-REPORTED, because this server cannot read your runtime's logs - it can only be told. A run inside Claude Code or Codex can be measured directly instead by installing the client at https://github.com/speedofred/ami-survey-client-v1 . Asked to rewrite a prompt so a workflow can be surveyed? That is a different job - call ami_prepare_workflow and follow what it returns. In particular the survey steps never go inside the prompt: an agent that surveys itself in the turn that did the work measures a run that has not finished and charges the survey's own tokens to the workflow. If your runtime does not expose per-call token counts and timings to you, you cannot record them and must not invent them. Say so, and submit with allow_empty_telemetry=true: the run is stored as UNMEASURED, keeping the workflow name, description and grade, and claiming no numbers. That is a complete and useful answer, not a failure - it is the honest shape of a survey taken somewhere the measurements are not reachable.
Known tools 11
ami_record_callsReport the API calls the workflow made, using the usage your own runtime reported for each one - values read from real responses, never estimated.
Inferred read-onlyami_prepare_workflowReturn the procedure for adapting an existing prompt so the run it describes can be measured.
Inferred read-onlyami_get_workflow_categoriesThe workflow categories a run may declare itself into, and what each one covers.
Inferred read-onlyami_get_scorecardThe scorecard for a submitted run: the AMI Maturity Index, the Performance Score, the five pillars, and structured findings.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.ami-survey]
url = "https://survey.agentbenchmark.dev/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"ami-survey": {
"type": "http",
"url": "https://survey.agentbenchmark.dev/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: ami-survey
Remote MCP URL: https://survey.agentbenchmark.dev/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"ami-survey": {
"url": "https://survey.agentbenchmark.dev/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"ami-survey": {
"type": "http",
"url": "https://survey.agentbenchmark.dev/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "ami-survey",
"transport": "streamable-http",
"url": "https://survey.agentbenchmark.dev/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Loading Trust v2 evidence…
Checking the associated registrable domain. The BuiltWith key remains server-side.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.