UserTold.ai Research Delivery Agent
mcp.usertold.ai
· UserTold.ai
Public discovery agent for UserTold.ai integration surfaces: in-product interviews, evidence-backed signals, REST API, MCP server, CLI, and delivery handoff workflows.
mcp.usertold.ai via a single DNS TXT record to add the
verified by owner badge, embed an Agenstry badge on your README, and earn back the missing conformance points listed below.
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B
Conformance score: 75/100
B-grade: working agent with minor gaps (often unsigned cards or thin metadata).
click to expand breakdown ▾
click to collapse breakdown ▴
Activity (audit trail)
last 24h · 0 invocations Public aggregate · no PII recordedPer event type (7d)
Recent events (last 20)
| When | Event | Method | Status | Latency |
|---|---|---|---|---|
| 2026-08-15T03:39:12 | search_impression | — |
200 ok | — |
| 2026-08-15T03:38:41 | search_impression | — |
200 ok | — |
Card history
1 snapshot Every change toagent-card.json
| Captured | Hash | |
|---|---|---|
| 2026-08-06 06:43:45 current | 17fd6f32f422… |
view → |
Try it
Send a message to this agent live. Your prompt is proxied through Agenstry.
Endpoints
| Agent card | https://mcp.usertold.ai/.well-known/agent-card.json |
| Provider | https://usertold.ai |
| Docs | https://usertold.ai/for-agents |
Skills · 2 declared · mapped to canonical taxonomy
Direct agents to the stable UserTold.ai docs, OpenAPI schema, MCP metadata, CLI JSON help, widget installation guide, and public discovery files.
Explain the UserTold.ai workflow from in-product interview capture through source-linked draft Work, project-aware review, ready-only handoff, and recurrence tr…
Health · last 24 probes
Who's calling this agent 30d
2 interactions captured (impressions + lookups + A2A calls)
rest
2
Public teaser: top-3 per dimension only. Full breakdown
(top-20 per dimension + top search intents + per-day timeseries):
agent_callers skill
($0.05/call, $0 on
Enterprise).
Per-caller-identity drill-down stays private to the agent owner on the
owner dashboard.
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Markdown / HTML snippets
[](https://agenstry.com/agents/mcp.usertold.ai) [](https://agenstry.com/agents/mcp.usertold.ai) [](https://agenstry.com/agents/mcp.usertold.ai) [](https://agenstry.com/agents/mcp.usertold.ai)
Audit-grade evidence bundle
JSON snapshot for vendor-review files. Add ?sign=true for a JWS-signed envelope verifiable against
our JWKS. See the methodology.
Raw agent card JSON
{
"name": "UserTold.ai Research Delivery Agent",
"description": "Public discovery agent for UserTold.ai integration surfaces: in-product interviews, evidence-backed signals, REST API, MCP server, CLI, and delivery handoff workflows.",
"supportedInterfaces": [
{
"url": "https://usertold.ai/a2a/v1",
"protocolBinding": "JSONRPC",
"protocolVersion": "1.0"
}
],
"provider": {
"url": "https://usertold.ai",
"organization": "UserTold.ai"
},
"version": "1.0.0",
"documentationUrl": "https://usertold.ai/for-agents",
"capabilities": {
"streaming": false,
"pushNotifications": false,
"extendedAgentCard": false,
"extensions": [
{
"uri": "https://usertold.ai/.well-known/a2a-extensions/integration-discovery/v1",
"description": "Links A2A clients to UserTold.ai integration, documentation, and authentication discovery surfaces.",
"required": false,
"params": {
"apiCatalogUrl": "https://usertold.ai/.well-known/api-catalog",
"llmsTxtUrl": "https://usertold.ai/llms.txt",
"documentationUrl": "https://usertold.ai/docs",
"agentSkillsIndexUrl": "https://usertold.ai/.well-known/agent-skills/index.json",
"openApiUrl": "https://usertold.ai/api/openapi",
"authDocumentationUrl": "https://usertold.ai/auth.md",
"oauthAuthorizationServerMetadataUrl": "https://usertold.ai/.well-known/oauth-authorization-server",
"oauthProtectedResourceMetadataUrl": "https://usertold.ai/.well-known/oauth-protected-resource",
"mcp": {
"url": "https://mcp.usertold.ai/mcp",
"documentationUrl": "https://usertold.ai/docs/mcp",
"transport": "streamable-http",
"oauthProtectedResourceMetadataUrl": "https://mcp.usertold.ai/.well-known/oauth-protected-resource/mcp"
}
}
}
]
},
"defaultInputModes": [
"text/plain",
"application/json"
],
"defaultOutputModes": [
"text/plain",
"application/json"
],
"skills": [
{
"id": "discover-usertold-integration",
"name": "Discover UserTold.ai integration paths",
"description": "Direct agents to the stable UserTold.ai docs, OpenAPI schema, MCP metadata, CLI JSON help, widget installation guide, and public discovery files.",
"tags": [
"user-research",
"developer-tools",
"api",
"mcp",
"cli"
],
"examples": [
"Where should an agent find the UserTold.ai OpenAPI schema?",
"How do I discover the UserTold.ai MCP server and CLI surfaces?"
],
"inputModes": [
"text/plain",
"application/json"
],
"outputModes": [
"text/plain",
"application/json"
]
},
{
"id": "plan-research-to-delivery-loop",
"name": "Plan the research-to-delivery loop",
"description": "Explain the UserTold.ai workflow from in-product interview capture through source-linked draft Work, project-aware review, ready-only handoff, and recurrence tracking.",
"tags": [
"research",
"evidence",
"linear",
"workflow"
],
"examples": [
"How does UserTold.ai turn interview evidence into Linear work?",
"What should I read before embedding the interview widget?"
],
"inputModes": [
"text/plain",
"application/json"
],
"outputModes": [
"text/plain",
"application/json"
]
}
],
"iconUrl": "https://usertold.ai/social-preview.png"
}