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PopNx MCPMCP servers for people who use AI · explained in plain words

Zearch

by zearchcomputerversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.zearchcomputer/zearch-mcp

Install

Overview

Description from the maker (original English)

Research with answers you can check: every paragraph verified against its cited source.

PopNx MCP’s three pillars

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

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 on your computer
  • Transport: stdio
  • Category: Search & AI memory
  • You need to fill in: ZEARCH_API_KEY

Install

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

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: ZEARCH_API_KEY, ZEARCH_API_URL

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

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

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "zearch": {
      "command": "npx",
      "args": [
        "-y",
        "@zearchcomputer/mcp"
      ],
      "env": {
        "ZEARCH_API_KEY": "your-value",
        "ZEARCH_API_URL": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add zearch --env ZEARCH_API_KEY=your-value --env ZEARCH_API_URL=your-value -- npx -y @zearchcomputer/mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "zearch": {
      "command": "npx",
      "args": [
        "-y",
        "@zearchcomputer/mcp"
      ],
      "env": {
        "ZEARCH_API_KEY": "your-value",
        "ZEARCH_API_URL": "your-value"
      }
    }
  }
}

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": {
    "zearch": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@zearchcomputer/mcp"
      ],
      "env": {
        "ZEARCH_API_KEY": "your-value",
        "ZEARCH_API_URL": "your-value"
      }
    }
  }
}

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.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

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

Values you fill in

  • ZEARCH_API_KEY secret required env
    Zearch API key (zk_live_…), from Account → API keys
  • ZEARCH_API_URL env
    API base URL; defaults to https://zearch.computer/v1

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

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

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 zearchcomputer, 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 applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7240 servers in this category
  • Published to the registry more recently than 60% of the other 7240 servers in this category
  • Basic checks equal to or better than 100% of the other 7240 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 Zearch 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?

You need to fill in: ZEARCH_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 24 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

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
Install

Codebase Memory

by DeusData

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

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

Exa

by exa-labs

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.

Answers you can check, inside any MCP client.

@zearchcomputer/mcp connects Claude, Cursor, VS Code and other Model Context Protocol clients to Zearch. Ask a question and you get an answer whose every paragraph was checked against the source it cites, with the exact passage Zearch read. Or check text your own model wrote against sources you already have.

Status: early. The Zearch API is not open to everyone yet.

How an answer is made

flowchart LR

Q([Question]) --> S[Search] S --> J1[Jev selects passages] J1 --> W[Writer drafts from those passages only] W --> J2[Jev checks each paragraph] J2 -->|supported| A([Cited answer]) J2 -->|not supported| E([The source passage itself])

Jev is TypeSafe AI's evidence model. When a paragraph can't be supported it is cut, and when nothing survives you get the best source passage instead of a guess (answer_type: "excerpt").

Tools

ToolWhat it doesCredits
researchChecked answer with numbered sources and the passages Jev read. Modes: standard, deep (a report from up to 8 sources), compare, scrape (one page), crawl (up to five pages of a site), reverse (how an app, repo or site works, from static analysis). Follow-ups with parent_id.1 · 5 · 2 · 1 · 3 · 10; follow-up 0.3
verifyChecks your text against your sources, paragraph by paragraph: pass/fail, support and attribution scores. Cite sources as [1], [2]…1
get_runReopens a run, or checks on a queued reverse run.free
list_runsYour recent runs (shared with the Zearch app).free
get_walletCredit balance, lots and expiry, recent ledger entries.free
get_pricingPublic price list. No key needed.free

Errors are never charged. A run that can only return a source passage costs half.

Progress. research streams its stages (*Searching the web → Choosing the most relevant evidence → Checking each claim against its source*) as MCP progress notifications, so clients that show progress show what Zearch is doing.

Answer view. In clients that support MCP Apps, research, get_run and verify render an inline card: the answer with citation chips, source cards with the excerpt Jev read, an *Open* button for each source, and follow-up suggestions. It follows the client's light or dark theme. Other clients get the same content as text. Set ZEARCH_UI=0 to turn it off.

Resources. zearch://runs/{id} (a run as Markdown; your recent runs are listed), zearch://pricing.

Prompts. research_brief (a cited brief from deep research), fact_check (find sources for a draft, then verify it), compare (a table with a citation in every cell).

Install

You need a Zearch API key (zk_live_…). Create one in the Zearch app under Account → API keys.

Claude Code
claude mcp add zearch --env ZEARCH_API_KEY=zk_live_your_key -- npx -y @zearchcomputer/mcp
Claude Desktop

In *Settings → Developer → Edit config*, add:

{

"mcpServers": { "zearch": { "command": "npx", "args": ["-y", "@zearchcomputer/mcp"], "env": { "ZEARCH_API_KEY": "zk_live_your_key" } } } }

Cursor

.cursor/mcp.json (project) or ~/.cursor/mcp.json (global): the same mcpServers block as Claude Desktop.

VS Code

.vscode/mcp.json, which prompts for the key instead of storing it:

{

"inputs": [{ "type": "promptString", "id": "zearch-key", "description": "Zearch API key", "password": true }], "servers": { "zearch": { "type": "stdio", "command": "npx", "args": ["-y", "@zearchcomputer/mcp"], "env": { "ZEARCH_API_KEY": "${input:zearch-key}" } } } }

Run from source
git clone https://github.com/zearchcomputer/zearch-mcp

cd zearch-mcp npm ci && npm run build

Then use node /absolute/path/to/zearch-mcp/dist/index.js as the command in any config above, instead of npx -y @zearchcomputer/mcp.

Remote (HTTP) mode

npx -y @zearchcomputer/mcp --http --port 8787            # http://127.0.0.1:8787/mcp

Every request uses the caller's own key, sent as Authorization: Bearer zk_live_…; the server stores no keys. ZEARCH_API_KEY is used as a fallback only when the server listens on loopback, so a public deployment can't spend the operator's credits for someone else. GET /healthz reports liveness.

To serve on a public interface, bind it and list the hostnames you serve, so requests with other Host headers are refused:

npx -y @zearchcomputer/mcp --http --host 0.0.0.0 --port 8080 --allowed-hosts mcp.zearch.computer

A Dockerfile is included for this.

Configuration

VariableDefaultPurpose
ZEARCH_API_KEYYour API key. In HTTP mode, callers send their own.
ZEARCH_API_URLhttps://zearch.computer/v1API base URL. http:// is accepted only for localhost.
ZEARCH_TIMEOUT_MS120000Per-request timeout. Research streams get at least 180 s.
ZEARCH_REVERSE_WAIT_MS300000How long research waits for a reverse run before returning its id for get_run.
ZEARCH_UIon0 turns off the inline answer view.
ZEARCH_MCP_ALLOWED_HOSTSSame as --allowed-hosts.
PORT8787HTTP port when --port isn't given.

Reliability

  • Each research call carries an idempotency key, reused across retries, so a retried request never runs or charges twice.
  • Network failures, 5xx responses and per-minute rate limits are retried with backoff that honours Retry-After. Out-of-credit, auth and validation errors are not retried; they come back as a tool error that says what to do next.
  • If a research stream drops, the server reads the finished run instead of failing.
  • Cancelling a tool call in the client cancels the request to Zearch.
  • Logs go to stderr. Keys are never logged.

Development

npm ci

npm test # builds, then runs the tests against a local mock of the Zearch API

Tests make no network calls beyond localhost and spend no credits. The view is a single dependency-free HTML file in src/ui/answer.html.

The server is built on the MCP TypeScript SDK v2 (protocol revision 2026-07-28, with 2025-era clients still served) and talks to the Zearch API.

Security

Report vulnerabilities privately through GitHub security advisories. See the security policy.

License

MIT

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