Prototype · Preview: every server in the official registry, synced every 30 minutes. Reviews and accounts come in a later step.
PopNx MCPMCP servers for people who use AI · explained in plain words

Knolo

by HiveForensics-AIversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.HiveForensics-AI/knolo

Install

Overview

Description from the maker (original English)

Verified, local-first retrieval over pinned Knolo Knowledge Images.

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: KNOLO_MCP_CONFIG

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: KNOLO_MCP_CONFIG

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": {
    "knolo": {
      "command": "npx",
      "args": [
        "-y",
        "@knolo/mcp"
      ],
      "env": {
        "KNOLO_MCP_CONFIG": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add knolo --env KNOLO_MCP_CONFIG=your-value -- npx -y @knolo/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": {
    "knolo": {
      "command": "npx",
      "args": [
        "-y",
        "@knolo/mcp"
      ],
      "env": {
        "KNOLO_MCP_CONFIG": "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": {
    "knolo": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@knolo/mcp"
      ],
      "env": {
        "KNOLO_MCP_CONFIG": "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

  • KNOLO_MCP_CONFIG required env
    Absolute path to knolo-mcp config JSON

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account HiveForensics-AI, 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 7270 servers in this category
  • Published to the registry more recently than 60% of the other 7270 servers in this category
  • Basic checks equal to or better than 100% of the other 7270 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 Knolo 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: KNOLO_MCP_CONFIG

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 25 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 yesterday
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 21 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 last month
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.

@knolo/mcp

@knolo/mcp is a read-only MCP server for pinned Knolo V5 Knowledge Images. It exposes the same four tools as @knolo/openclaw: knolo_search, knolo_get, knolo_verify, and knolo_status. Pins, policy checks, and query receipts come from @knolo/tools. When at least one mount includes a kar block, the server also exposes knolo_kar_evaluate, knolo_kar_verify, and knolo_cortex_verify.

The server speaks stdio only. It does not download images, open a runtime network connection, write or compile knowledge, or expose MCP resources or prompts. Install and pin each image before starting it. A hash, state-root, or policy-root mismatch exits non-zero before the MCP connection starts.

Caller identity is agentId in the config file, default mcp. That id must be listed in the mount's agents array. Tool arguments cannot set it. The MCP client's clientInfo.name is stored on the receipt as sessionId and is not used for authorization. One principal per mount is what policy evaluation sees.

Every search writes an openclaw-knolo-query-v1 receipt before it returns hits. An unwritable auditDir returns AUDIT_UNAVAILABLE and no hits. Before each tool call, a server started from a config file stats that config, every mounted image, and any pinned KAR graph. An unchanged size and modification time keeps the loaded image. A changed file is checked against the pin in that config. A match replaces the loaded image. A mount removed from the config is no longer served, even when its image file is still on disk. A mismatch returns IMAGE_INVALID and does not serve the previous image. A config file that cannot be read fails that call. agentId and maxHits stay at the values from process start. KAR graphs are authorized with that same startup agentId.

@knolo/mcp@0.2.0 is published on npm. A mount without a kar block exposes the four tools above. A mount with a kar block also exposes knolo_kar_evaluate, knolo_kar_verify, and knolo_cortex_verify. The registry name in server.json is io.github.HiveForensics-AI/knolo. Published @knolo/mcp@0.1.0 remains the four-tool server.

The Google ADK examples start this server over stdio and run one search. Python and TypeScript both use MCP.

Config

Paths are absolute. sha256 is 64 lowercase hex characters. stateRoot is sha256- plus 64 lowercase hex characters.

{

"agentId": "mcp", "auditDir": "/var/lib/knolo/receipts", "mounts": [ { "id": "handbook", "path": "/opt/knolo/handbook.knolo", "sha256": "<64 hex>", "stateRoot": "sha256-<64 hex>", "policyPath": "/opt/knolo/handbook.policy.json", "agents": ["mcp"], "principal": " ", "kar": { "graphPath": "/opt/knolo/handbook.kar.json", "graphSha256": "<64 hex>" } } ] }

kar is optional. graphSha256 is the raw file SHA-256, 64 lowercase hex characters, without a sha256- prefix. The server hashes that file and binds it to the mount before it accepts a connection. A hash or binding mismatch exits before MCP starts. A call for a mount that has no kar block fails closed when the three tools are enabled by another mount.

knolo_kar_evaluate takes mountId, proposition, and an inline plan object of at most 65536 UTF-8 bytes. SATISFIED means evidence requirements were met. It does not mean a claim is proven. UNSATISFIED_EVIDENCE_REQUIREMENTS is a completed evaluation. The plan is parsed by the KAR plan parser. Domain Pack template names are not accepted.

knolo_kar_verify takes the same mount, proposition, and plan, plus exactly one of result or dossier. knolo_cortex_verify takes mountId, an answer trace, and an optional question. It uses the pinned graph when the trace references KAR. These tools do not call a model and do not run askCortex.

Query receipts stay openclaw-knolo-query-v1. KAR and Cortex tools write knolo-mcp-evidence-receipt-v1 in auditDir before they return a result. An unwritable audit directory returns AUDIT_UNAVAILABLE and no result.

Start it with knolo-mcp --config /absolute/knolo-mcp.json or KNOLO_MCP_CONFIG. Logs go to stderr. Stdout is JSON-RPC only.

Clients

Claude Desktop, Claude Code, and Cursor:

{

"mcpServers": { "knolo": { "command": "npx", "args": ["-y", "@knolo/mcp", "--config", "/absolute/knolo-mcp.json"] } } }

Claude Code CLI:

claude mcp add knolo -- npx -y @knolo/mcp --config /absolute/knolo-mcp.json

VS Code (.vscode/mcp.json):

{

"servers": { "knolo": { "type": "stdio", "command": "npx", "args": [ "-y", "@knolo/mcp", "--config", "${workspaceFolder}/knolo-mcp.json" ] } } }

The package requires Node 20 or newer, @knolo/core ^6.2.0, and @knolo/tools ^0.2.0. Coverage, composition, and authoring stay outside this server. Verification checks integrity. It does not decide that a claim or an answer is true.

Ask PopNx