MCP.Market

Usercall MCP server

online · 100% uptime
by usercall.co·co.usercall/mcp·v0.4.0·5 stars

Give your AI agents the ability to ask real users why.

A98/100grade A
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Safety scan
A98/100

full report

Adoption
Growing

5 stars7 downloads/wk

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Usercall tools

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Public scan report

scanner v0.1.10 · 2026-10-01 · same rubric, same numbers if you re-run it

no findings
  • Code scan7 source files scanned25/25
  • Live reliabilityremote reachable in 286ms (auth required)20/20
  • –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
  • Auth qualityOAuth resource metadata advertised on 40115/15
  • Maintenancelast push 0 days ago15/15
  • Maintainer identityendpoint served from the registry-verified namespace domain8/10
Overall 98/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Usercall compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
98/100
higher than 99% of 48,255 servers
Uptime
100%
of our recent checks; the typical remote server answers 100%
Response time
1,141 ms
faster than 9% of 30,031 servers
GitHub stars
5
more than 83% of 28,688 servers
Downloads a week
7
more than 2% of 12,191 servers with a package

Install Usercall in Claude Code, Cursor or VS Code

claude mcp add --transport http mcp https://mcp.usercall.co
Add to Cursor

What the publisher says

From the Usercall repository's README, as published. We do not edit it. Read it on GitHub

Usercall MCP - AI agents that run real user interviews

AI can build products. But it still doesn't talk to users.

Give your AI agents the ability to ask real users why.

Usercall MCP lets AI agents run user interviews via voice or text and return structured insights with themes and verbatim quotes.

Why this exists

AI agents can now build and ship products extremely quickly.

But most agents still rely on synthetic feedback or assumptions about users.

Usercall MCP lets agents gather real qualitative feedback directly from users.

Choose a connection

Recommended: hosted MCP (Claude, ChatGPT, Cursor, Grok Bot)

Add https://mcp.usercall.co as a remote MCP connector / custom connector.

  • OAuth sign-in (no API key, no npx)
  • Same tools as this package (studies + Research Triggers)
  • Docs: app.usercall.co/docs/mcp
  • Cursor Directory / Grok Bot: this repo ships .mcp.json so cursor.directory can install the hosted connector. Grok Bot cannot run the local npx package.

This package: local / API-key / machine-to-machine

Use @usercall/mcp over stdio when you want a Bearer API key (scripts, local clients, M2M).

  1. Sign in at app.usercall.co → Home → Developer → Create API key
  2. Run npx -y @usercall/mcp with USERCALLAPIKEY

Example workflow

Agent: "Why are users confused about onboarding?"

→ create_study
→ share interview_link with users
→ get_study_results

The returned interview_link can be shared with participants through email, Slack, Discord, or in-product prompts.

Example result:

{
  "themes": [
    {
      "name": "Onboarding confusion",
      "summary": "Users struggled to understand the second step.",
      "quotes": [
        "I wasn't sure what the app was asking me to do.",
        "I didn't know I had to verify my email before continuing."
      ]
    },
    {
      "name": "Pricing confusion",
      "summary": "Free plan limits were not clearly communicated.",
      "quotes": ["I wasn't sure if the free plan included analytics."]
    }
  ]
}

How it works

AI Agent

Usercall MCP (hosted OAuth or this stdio package)

Usercall Agent API

Real user interviews

Themes and verbatim quotes returned to the agent

With Research Triggers, the agent can also target users in your product:

Analytics MCP (PostHog, Mixpanel, …) finds a behavior

Usercall MCP creates a study and a paused Research Trigger

You activate it in Usercall

The Usercall SDK invites matching users to an interview right after the behavior

Research Triggers

Analytics tells an agent what users do. Research Triggers let it ask them why.

User:  "Look at our PostHog data and find something worth investigating."

Agent (PostHog MCP):  users who test a study rarely launch one.

Agent (Usercall MCP):
  list_trigger_events()                  → study_tested, study_launched, …
  get_trigger_event_schema("study_tested")
                                         → properties: source, interview_type
                                           traits: plan ("free", "pro"), account_type
  create_study(...)  or  list_studies()
  create_research_trigger({
    study_id, event_name: "study_tested",
    traits: { plan: "free" }, sampling_percent: 25, max_invites_per_day: 10
  })                                     → status: "paused", summary, activation_url

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Usercall: common questions

Is Usercall MCP server safe?
Yes, by our scan: it is graded A (98/100). Read the Usercall safety report
How do I install Usercall?
It runs remotely at mcp.usercall.co. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does Usercall need an API key?
No key to paste: it signs you in with OAuth when your client connects.
Is Usercall maintained?
The last commit was 34 days ago (2026-09-30). The latest release is v0.4.0.
Is Usercall up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
How does Usercall compare with other MCP servers?
safety score 98/100 (higher than 99% of 48,255 servers); uptime 100% (of our recent checks; the typical remote server answers 100%); response time 1,141 ms (faster than 9% of 30,031 servers). Full comparison.