MCP.Market

Likerts MCP server

by crosstabs·io.github.crosstabs/likerts·v0.1.1

Manage open-source in-product surveys, collections, responses and exports with scoped access.

C65/100grade C
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Safety scan
C65/100

full report

Adoption
Growing

0 stars19 downloads/wk

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Likerts tools

Tool list not cached yet. `describe` through the gateway fetches it live.

Public scan report

scanner v0.1.10 · 2026-10-03 · same rubric, same numbers if you re-run it

1 high
  • Code scan10 source files scanned25/25
  • Live reliabilityremote unreachable: Streamable HTTP error: Error POSTing to endpoint: {"error":"not_found"}0/20
  • –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
  • Auth qualityAPI key sent as a header8/15
  • Maintenancelast push 11 days ago15/15
  • Maintainer identityregistry namespace matches repository owner7/10

Findings (1)

  • highRemote endpoint did not respondreliability.unreachable

    Streamable HTTP error: Error POSTing to endpoint: {"error":"not_found"}

Overall 65/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Likerts compares

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

Safety score
65/100
higher than 25% of 2,174 E-commerce servers
Downloads a week
19
more than 5% of 411 E-commerce servers with a package

Install Likerts in Claude Code, Cursor or VS Code

claude mcp add --transport http likerts https://likerts-mcp.onrender.com/mcp/{workspaceId}
Add to Cursor

What the publisher says

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

Likerts

Likerts is a free, open-source backend for surveys embedded in your own web and mobile products. It provides one typed platform through HTTP, MCP and a Rust CLI, with SDKs for Web, React Native, iOS, Android and Flutter.

Download the community release · Installation guide · Contribute

Likerts does not host respondent links or send invitations. Your application decides when a survey appears and supplies the customer context. Likerts validates the published schema, stores the response, returns an idempotent receipt and makes the data available through scoped reads, exports and signed callbacks.

There are no response credits, paid plans, license keys or application-level response quotas. Accepted-response counts are observability data only. Operators still configure request rates, payload bounds, storage capacity and concurrency to protect their infrastructure.

What is included

  • Nine question types: single choice, multiple choice, scale, text, number, date, ranking, matrix and constant sum
  • NPS and yes/no presets, conditional visibility, pages and branching
  • Immutable published survey versions and collection credentials
  • PostgreSQL row-level security for workspace isolation
  • Scoped service credentials and OAuth grants
  • Stable response pagination, privacy-safe aggregates and chart-ready analysis
  • Bounded exports, retention and erasure
  • Signed response webhooks
  • API, MCP and CLI operation parity
  • Five client SDKs with encrypted offline queue adapters

Try a real embedded survey

Clone the repository, then run:

git clone https://github.com/crosstabs/likerts.git
cd likerts
bash scripts/run-feedback-demo.sh

Open http://127.0.0.1:4310. Answer the survey, then retrieve the matching response and metadata in the operator view. The example uses the real Web SDK, Rust API and CLI. It requires Rust stable, Node.js 22+ and Bash; temporary memory storage clears when you stop it.

Watch the 40-second walkthrough · Example source and instructions · Versioned downloads and installation

Install in your application

npm install @likerts/web
# For a React Native application:
npm install @likerts/react-native
# For a local MCP client:
npm install --global @likerts/mcp

These are client packages; connect them to your Likerts API using the SDK guides or MCP setup. Runnable Next.js, Vue and Svelte hosts demonstrate explicit mounting, cleanup and safe retry of an ambiguous submission. See the installation guide for versions, compatibility and native SDK source.

Follow the tested checkout feedback walkthrough to attach metadata and retrieve a real receipt, or the MCP lifecycle walkthrough to create, publish and manage a survey with scoped tools.

Run with durable local storage

With Docker Compose and OpenSSL installed:

bash infrastructure/local/compose.sh up --build --detach --wait
curl --fail http://127.0.0.1:8080/health

Shortened. The full README is on GitHub.

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

Likerts: common questions

Is Likerts MCP server safe?
With care: it is graded C, so read the findings first (65/100). Read the Likerts safety report
How do I install Likerts?
It runs remotely at likerts-mcp.onrender.com. 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 Likerts need an API key?
Yes. The registry entry asks for LIKERTS_TOKEN, LIKERTS_COLLECTION_TOKEN, Authorization.
Is Likerts maintained?
The last commit was 42 days ago (2026-09-22). The latest release is v0.1.1.
What can I use instead of Likerts?
Servers from other publishers that do the same job: HasData Shopify MCP server, DebugBundle MCP server and PostHog MCP Server.
How does Likerts compare with other E-commerce MCP servers?
safety score 65/100 (higher than 25% of 2,174 E-commerce servers); downloads a week 19 (more than 5% of 411 E-commerce servers with a package). Full comparison.

Alternatives to Likerts

Same job from other publishers: the closest match first, then the best rated.

  • HasData Shopify
    The public product catalogue and collections of any Shopify storefront, as structured JSON.
    A
  • DebugBundle
    DebugBundle MCP: runtime error reporting, incident response, health checks, and product analytics.
    B
  • PostHog MCP Server
    Official PostHog MCP Server for product analytics, feature flags, experiments, and more.
    A
  • Loki Mode
    Autonomous spec-to-product coding-agent CLI with an MCP server exposing 39 tools over stdio.
    B
  • New-Term Radar
    New AI model, product and repo names as they surface, and the search terms behind them, sized.
    B