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

Itsoc MCP

by Ankit512version 0.1.0i★ –iRuns on your computer
Registry nameio.github.Ankit512/itsoc-mcp

Install

Overview

Description from the maker (original English)

Read-only MCP server over a local log-analysis backend; a client that computes no verdicts.

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: Other

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).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx 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": {
    "itsoc": {
      "command": "uvx",
      "args": [
        "itsoc-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add itsoc -- uvx itsoc-mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "itsoc": {
      "command": "uvx",
      "args": [
        "itsoc-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": {
    "itsoc": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "itsoc-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.

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.

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 Ankit512, 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 Otheri

  • More stars than 0% of the other 32709 servers in this category
  • Published to the registry more recently than 28% of the other 32709 servers in this category
  • Basic checks equal to or better than 100% of the other 32709 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 Itsoc MCP 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 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 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, SwarmMemo

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

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
Install

SwarmMemo

by Hugo0

Talk with agent swarms: rooms, private messages and paid tasks for AI agents

Runs in the cloudUpdated today
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.

itsoc-icp — an MCP server over the local analysis backend

mcp-name: io.github.Ankit512/itsoc-icp

itsoc-icp (Python package itsoc_mcp) exposes this project's existing log-analysis capabilities as Model Context Protocol tools, so an MCP-capable agent (Claude Code / Claude Desktop) can drive them. It is an isolated sibling package: it imports nothing from anomaly_detector.py, changes no /api/* route, and adds no dependency to the core backend.

What it is (and is not)

  • A client, not a brain. Every tool proxies the already-running local backend (http://127.0.0.1:8765 by default). This server computes no verdicts: severities, correlation, and rule verdicts are owned by the frozen deterministic detector on the backend. Tools relay; they never re-decide.
  • No action execution and no approval authority. No tool can approve, reject, execute, or revoke actions. propose_block_ip can create a proposal in the pending state only; all execution and approval authority strictly resides on the backend console with human-in-the-loop step-up authentication. analyze_log kicks off log analysis and explain_finding requests an advisory explanation via the existing endpoint — an explanation never changes, suppresses, or escalates a verdict.
  • Honest by construction. Backend null / "0 lines parsed" / idle states are passed through verbatim — never a fabricated all-clear or an empty file.
  • Redacted by default. Any field carrying raw log text is masked through the project's existing egress choke point (console/redact.py) before it leaves, unless you opt into a trusted local session (see below).

Every tool response carries a provenance block stating: verdicts are deterministic/rule-owned, explanations are advisory, MITRE tags are derived (not verdicts), plus the running detector's detector_sha256.

Tools

ToolWhat it returnsHonesty notes
analyze_log(source, compare=False)Runs the existing analyze flow on a local path or an http(s) URL; returns run_id + summary (severity counts, lines parsed/unparsed, unrecognized flag, detector sha).Unrecognized format → "0 lines parsed", explicitly not an all-clear.
list_runs()Saved runs from run history, plus the current run.Empty history is honestly empty.
get_findings(run_id='', severity='', rule='', host='', limit=50)Filtered findings for the active run: rule-owned severity, rule_id, derived MITRE tags.Host/title are redacted by default. A non-current run_id is an honest error (this server never switches the active run).
get_evidence(finding_id, run_id='')Real evidence lines + rule predicate + timeline for one finding.Raw lines and timeline labels are redacted by default.
explain_finding(finding_id, run_id='')Advisory LLM explanation via /api/explain.Advisory only; redacted by default; an unreachable model is an honest error.
export_run(format, run_id='')Proxies /api/export (`csv\html\xml\json\md`).Idle → honest 409 ("nothing to export yet"), never an empty file. Content carries raw log text, so it is withheld by default (real size + sha256 returned); set the trusted-local flag to receive it inline.
threat_intel_lookup(ip, bundle_path=None)Offline STIX→MITRE lookup for one IPv4, reusing threat_intel/ (match + severity from threat_detector.py, MITRE from the cached ATT&CK DB). No network egress.No bundle configured → honest n/a; no match → honest "no match", not an all-clear.
propose_block_ip(incident_id, runbook_id='rb-block-ip')Proposes a perimeter IP block by creating a pending approval record on the backend console.Proposal creation only: zero execution authority, zero approval authority. Step-up auth on console is required to approve/execute.

Every tool declares all four MCP hints as explicit booleans (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) so hosts can warn before invoke and OpenAI's directory will accept the contract. Read tools (list_runs, get_findings, get_evidence, export_run, threat_intel_lookup) are readOnlyHint: true. analyze_log, explain_finding, and propose_block_ip are writes (additive, not destructive). All backend-facing tools are openWorldHint: true.

Install

The core backend stays stdlib-only — do not install anything to run it. Install the MCP SDK only if you want to run this server:

pip install -r itsoc_mcp/requirements-mcp.txt   # the `mcp` SDK, and nothing else

Run

  1. Start the backend (from the repo root), stdlib-only, no extra installs:
   python3 console/serve.py           # serves http://127.0.0.1:8765
  1. Launch the MCP server over stdio (from the repo root):
   python -m itsoc_mcp

Configuration (environment)

VariableDefaultPurpose
ITSOC_BASE_URLhttp://127.0.0.1:8765Where the local backend is listening.
ITSOC_MCP_TRUSTED_LOCAL*(unset)*Set to 1 to return raw (unredacted) log text and inline export content. Leave unset for any session an MCP client could relay off-machine — the default masks IPs, usernames, and known hosts.
ITSOC_STIX_BUNDLE*(unset)*Path to a local STIX bundle for threat_intel_lookup. Unset → the tool honestly reports "n/a — nothing to match against".

Register with an MCP client (stdio)

Paste into your MCP client config (e.g. Claude Desktop's claude_desktop_config.json, or .mcp.json for Claude Code). Replace /ABSOLUTE/PATH/TO/itsoc with the repo root:

{

"mcpServers": { "itsoc-icp": { "command": "python", "args": ["-m", "itsoc_mcp"], "cwd": "/ABSOLUTE/PATH/TO/itsoc", "env": { "ITSOC_BASE_URL": "http://127.0.0.1:8765" } } } }

To allow raw evidence/export on a trusted local machine, add "ITSOC_MCP_TRUSTED_LOCAL": "1" (and optionally "ITSOC_STIX_BUNDLE": "...") to that env block. The backend (python3 console/serve.py) must be running.

Tests

Network-free, no SDK, no ATT&CK cache required — the client is faked and the offline mapper is stubbed:

python3 itsoc_mcp/test_mcp.py

It asserts each tool's shape, that get_evidence/get_findings/explain_finding are redacted by default and raw only with ITSOC_MCP_TRUSTED_LOCAL=1, and that idle/unrecognized/error states return honest errors, not empty payloads.

Standalone install (uvx / pipx)

pyproject.toml builds an itsoc-icp distribution with an itsoc-icp console script (itsoc_mcp.server:main) and pins mcp>=1.9,<2 — MCP clients speak the stable 1.x API; mcp 2.0 changed the server API. The package is self-contained: designed to run with no repo checkout.

uvx itsoc-icp        # or: pipx run itsoc-icp   (the backend must still be running)

Two honesty points, stated plainly:

  • The egress guard is never weakened standalone. Redaction has a single source of truth — console/redact.py — used whenever the repo is importable. In a bare install it falls back to a verbatim vendored mirror (_redact_vendored.py) that masks identically (redact-by-default; raw only with ITSOC_MCP_TRUSTED_LOCAL=1). A drift-guard test asserts the two never diverge, so the vendored copy can never silently mask *less*. redaction.redact_source() reports which is active. If neither could load, the module fails to import rather than pass text through — it fails closed, never open.
  • `threat_intel_lookup` needs the repo. Its offline STIX→MITRE path reuses the repo's sibling threat_intel/ package, which a bare install does not ship. In a standalone install that one tool fails closed with an honest "offline threat-intel unavailable … NOT a clean verdict / not an all-clear" message — never a fabricated match or a fake all-clear. Run from the repo (python -m itsoc_mcp) to use offline threat-intel. Every other tool is a client of the backend API and works identically standalone or in-repo.

Standalone means *no repo checkout is needed for the MCP package* — the backend (python3 console/serve.py) still runs separately and must be reachable at ITSOC_BASE_URL.

License

MIT — see the repository's top-level LICENSE.

Ask PopNx