Juno AI Customer Research

Name: Juno AI Customer Research
Author: hey-juno

by hey-junoversion 1.0.0i★ –iRuns in the cloud

Registry nameio.github.hey-juno/juno

Install

Overview

Description from the maker (original English)

AI-moderated qualitative customer interviews, study authoring, participant links, and CSV exports.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs in the cloud
Transport: Streamable HTTP
Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on the maker’s server: what you ask it goes through their server.
The registry lists no key to fill in.

You need

Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://api.heyjuno.co/v1/mcp/

Run this in your terminal

claude mcp add --transport http juno https://api.heyjuno.co/v1/mcp/

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "juno": {
      "url": "https://api.heyjuno.co/v1/mcp/"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "juno": {
      "type": "http",
      "url": "https://api.heyjuno.co/v1/mcp/"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://api.heyjuno.co/v1/mcp/

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account hey-juno, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
… Not checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
… Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Search & AI memoryi

More stars than 0% of the other 7236 servers in this category
Published to the registry more recently than 70% of the other 7236 servers in this category
Basic checks equal to or better than 100% of the other 7236 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Juno AI Customer Research safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 16 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated 3 days ago

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Codebase Memory

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Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago

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Exa

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Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 44 days ago

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Juno Agent Toolkit

An agent skill, a small Python client, and runnable workflows for Juno: AI-moderated customer interviews with real people.

Use Juno when product analytics, support tickets or existing research leave a question that needs customers' own explanations. Brief a study, review the interview, collect responses, and retrieve the evidence through the supported API.

Self-service API keys and OAuth 2.1. Production supports self-service Juno API keys (jsk_live_… / jsk_test_…) and OAuth 2.1 with dynamic client registration and PKCE S256. Native MCP clients (Claude Code, OpenAI Codex, ChatGPT) can connect directly over OAuth or with a bearer key; this Python toolkit uses JUNO_API_KEY and does not implement signup or credential issuance. Juno's remote MCP server is listed in the Official Model Context Protocol Registry as io.github.hey-juno/juno (server.json). See validation and limitations for what has been tested.

Choose your interface

Interface	Use it for	Start here
Agent skill	Teach a skill-capable assistant how to use Juno for an authorised research task	Juno research skill
Python client	Call Juno from your application or agent	Client and the quickstart below
MCP	Connect a compatible client to Juno's hosted tools	MCP connection guide
Research workflow	Follow a study from a brief to participant evidence	Workflow and runnable example

Python quickstart

Python 3.11 or later; no third-party runtime dependencies. Clone this repository and run from its root:

git clone https://github.com/hey-juno/juno-agent-toolkit.git

cd juno-agent-toolkit python -m examples.research_workflow --help

Set JUNO_API_KEY in your environment using your normal secret-management method. Do not put it in a source file, prompt, committed client configuration or issue report.

import os

from juno_client import JunoClient

client = JunoClient(api_key=os.environ["JUNO_API_KEY"]) identity = client.me() print(identity["org_id"], identity["scopes"])

When the user has authorised creating a study:

python -m examples.research_workflow draft \

--guidance "Understand why customers abandon onboarding and what they expected instead."

A new study starts in Test mode. Review its brief before choosing to go live. The example separates drafting, going live, inspecting interviews and exporting results; it does not recruit or contact participants automatically.

The client covers the core study/evidence workflow, not every public API operation. The live REST reference and OpenAPI document define the full interface. This preview is distributed from GitHub; it has not been published to PyPI.

What an agent can retrieve

Study and interview endpoints provide status and metadata. Interview metadata does not contain transcripts. For completed Live-mode interviews, use the export workflow to retrieve CSV transcripts and answers under the organisation's permissions and redaction settings. Test-mode simulations are rehearsal material and are not customer evidence.

Use the research brief, participant quotes and transcript context to explain findings. Keep uncertainty and conflicting accounts visible. Juno does not turn a small qualitative sample into population-wide prevalence or a measured causal effect.

Public MCP, hosted service

Juno publishes a remote MCP endpoint at https://api.heyjuno.co/v1/mcp/. Public connection information makes it discoverable; credentials and workspace permissions control use. See the connection guide for client configuration and verification status.

This repository contains client-side integration material. The hosted MCP server and Juno's research engine remain part of the Juno service. There is no second MCP server, local proxy or self-hosted Juno backend here.

Research in practice

These are published customer stories, not fixtures or benchmark results for this client.

Development

python -m unittest discover -s tests -v

Tests use a local HTTP server and synthetic data. They need no Juno or model API key and do not create live research. Contract provenance explains the public schema snapshot. Please report reproducible client issues in GitHub, with credentials and research data removed; use Juno Support for account or private-data issues.

The toolkit is MIT licensed. Access to the hosted service follows Juno's current terms and entitlements.

Juno AI Customer Research

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

Juno Agent Toolkit

Choose your interface

Python quickstart

What an agent can retrieve

Public MCP, hosted service

Research in practice

Development