Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Read-only MCP server over a local log-analysis backend; a client that computes no verdicts.
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
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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-mcpPaste 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.
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.
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Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account Ankit512, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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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).
The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 3 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, SwarmMemo
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
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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.
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.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.null / "0 lines parsed" / idle states are passed through verbatim — never a fabricated all-clear or an empty file.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.
| Tool | What it returns | Honesty 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.
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
python3 console/serve.py # serves http://127.0.0.1:8765
python -m itsoc_mcp
| Variable | Default | Purpose |
|---|---|---|
ITSOC_BASE_URL | http://127.0.0.1:8765 | Where 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". |
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.
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.
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:
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/ 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.
MIT — see the repository's top-level LICENSE.