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PostgreSQL CVE & Release Intelligence

by meobversion 1.0.4i★ –iRuns on your computer
Registry nameio.github.meob/pg-cve-mcp

Install

Overview

Description from the maker (original English)

PostgreSQL security for AI agents: CVEs, yanked releases, exploits, and upgrade paths

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: Cybersecurity

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: PG_CVE_MCP_TTL, PG_CVE_MCP_DATA_URL

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": {
    "pg-cve": {
      "command": "uvx",
      "args": [
        "pg-cve-mcp"
      ],
      "env": {
        "PG_CVE_MCP_TTL": "your-value",
        "PG_CVE_MCP_DATA_URL": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add pg-cve --env PG_CVE_MCP_TTL=your-value --env PG_CVE_MCP_DATA_URL=your-value -- uvx pg-cve-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": {
    "pg-cve": {
      "command": "uvx",
      "args": [
        "pg-cve-mcp"
      ],
      "env": {
        "PG_CVE_MCP_TTL": "your-value",
        "PG_CVE_MCP_DATA_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": {
    "pg-cve": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "pg-cve-mcp"
      ],
      "env": {
        "PG_CVE_MCP_TTL": "your-value",
        "PG_CVE_MCP_DATA_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

  • PG_CVE_MCP_TTL env
    Cache TTL in seconds for CVE data refresh (default: 86400)
  • PG_CVE_MCP_DATA_URL env
    URL of the PostgreSQL CVE JSON data (default: PG_CVE GitHub Pages)

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 meob, 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 Cybersecurityi

  • More stars than 0% of the other 994 servers in this category
  • Published to the registry more recently than 37% of the other 994 servers in this category
  • Basic checks equal to or better than 100% of the other 994 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 PostgreSQL CVE & Release Intelligence 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 (1.0.4) 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: SML Risk Firewall, ipdata MCP by usefulapi, MaxMind minFraud MCP by usefulapi

Alternatives

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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.

pg-cve-mcp — PostgreSQL CVE & Release Intelligence for AI Agents

Give your AI assistant direct access to PostgreSQL security intelligence: CVEs, yanked releases, known exploits, and upgrade paths for any version — queried, not browsed.


Why pg-cve-mcp?

Browsing a CVE dashboard is a human habit. Agents need answers, not pages.

pg-cve-mcp turns the curated dataset of the PG_CVE project — the same one powering the PostgreSQL CVE Dashboard — into MCP tools that any AI assistant (opencode, Claude Desktop, etc.) can call directly. What was a static page becomes a first-class, programmatic part of your AI workflow.

Unlike raw NVD feeds, the PG_CVE dataset is manually curated to carry the same judgment a careful DBA would apply:

  • Yanked releases flagged with the real reason (e.g. *"Data corruption using CONCURRENTLY"*)
  • Known exploits confirmed to exist in the wild
  • EOL branches marked, with a synthetic CVE-EOL-WARNING (CVSS 10.0) prepended to unsupported reports
  • Verified CVEs — no false positives from automated scraping
What your agent can now do
Prompt to your agentTool usedResult
"Is PostgreSQL 15.8 safe?"get_cves("15.8")EOL/yanked flags, release date, full CVE list sorted by CVSS
"Compare 16.3 vs 16.4"compare_versions("16.3", "16.4")fixed / new / still-present CVEs with release dates
"Should I upgrade from 14.10?"get_upgrade_path("14.10")recommended target + the CVEs it fixes + release dates
"Any known exploits right now?"get_exploits()all exploitable CVEs, sorted by CVSS, with release dates
"What does this database track?"get_summary()stats, EOL and yanked-release overview
Agent-first design

Every tool returns structured JSON, sorted by CVSS (highest first). Tools flag *yanked* and *EOL* state explicitly on the version metadata, and include release dates for every version. get_upgrade_path distinguishes a safe minor upgrade from a forced major one when a branch is at or near end-of-life — so the agent can give advice, not just data.

See real tool outputs in the live demo.


Quick Start

pip install pg-cve-mcp

pg-cve-mcp

Or with npx (no install):

npx -y pg-cve-mcp

MCP Tools

ToolDescription
get_cves(version)Complete security report for a version: EOL/yanked status, release date, stats, CVEs sorted by CVSS (a synthetic CVE-EOL-WARNING at 10.0 is prepended for unsupported releases)
compare_versions(v1, v2)Side-by-side CVE comparison (fixed/new/still present) with yanked & EOL flags and release dates
get_upgrade_path(from_version)Recommended upgrade (minor by default; major when EOL or next-to-EOL) with fixed CVEs and release dates
get_exploits()All CVEs with known public exploits, sorted by CVSS, with release dates
get_summary()Overview of the tracked CVE database incl. yanked releases

Transports

stdio (default)

Run locally over stdio for opencode, Claude Desktop, and other stdio MCP clients:

pip install -e .

pg-cve-mcp

Streamable HTTP (self-hosted)

For remote or enterprise deployments, serve the same tools over HTTP. Run python run_server.py (or build the Dockerfile); the server listens on $PORT (default 8000) at path /mcp:

python run_server.py

MCP endpoint: http://127.0.0.1:8000/mcp

Configure any MCP client with the URL, e.g. in opencode.json:

{

"mcp": { "pg-cve-mcp": { "type": "remote", "url": "http://127.0.0.1:8000/mcp" } } }

Configuration

Env VarDefaultDescription
PG_CVE_MCP_TTL86400Cache TTL in seconds for CVE data
PG_CVE_MCP_DATA_URLhttps://meob.github.io/PG_CVE/postgresql_cves.jsonCVE data source URL
PORT8000HTTP port for the Streamable HTTP server (run_server.py)

Development

Run the test suite and linters:

python -m pytest

ruff check src tests mypy src

Data Source

Data is fetched from the PG_CVE project's GitHub Pages with local caching. Falls back to a bundled copy if the network is unavailable.

Example Prompts

"What CVEs affect PostgreSQL 16.4?"

"Is PostgreSQL 15.8 safe to use?"

"Compare CVEs in 16.3 vs 16.4"

"What's the upgrade path from PostgreSQL 14.10?"

License

Apache 2.0

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