PostgreSQL CVE & Release Intelligence

io.github.meob

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

Add to Cursor Add to VS Code Run on PlugMCP

1{2  "mcpServers": {3    "io.github.meob-pg-cve-mcp": {4      "command": "uvx",5      "args": [6        "pg-cve-mcp==1.0.4"7      ],8      "env": {9        "PG_CVE_MCP_TTL": "<value>",10        "PG_CVE_MCP_DATA_URL": "<value>"11      }12    }13  }14}

.cursor/mcp.jsonMCP server

Transport: stdio
Status: Local

Power your agent

Add this server

The publisher's own command. Not a PlugMCP endpoint.

Add to Cursor Add to VS Code Run on PlugMCP

Host a copy with our keys and logs.

Local command

uvx pg-cve-mcp==1.0.4

Credentials from the publisher

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

Claude Code has no install link for a local command. Copy the command below and run it in a terminal.

shClaude Code

1PG_CVE_MCP_TTL=<value> PG_CVE_MCP_DATA_URL=<value> claude mcp add io.github.meob-pg-cve-mcp -- uvx pg-cve-mcp==1.0.4

Run in a terminal.

jsonClaude Desktop

1{2  "mcpServers": {3    "io.github.meob-pg-cve-mcp": {4      "command": "uvx",5      "args": [6        "pg-cve-mcp==1.0.4"7      ],8      "env": {9        "PG_CVE_MCP_TTL": "<value>",10        "PG_CVE_MCP_DATA_URL": "<value>"11      }12    }13  }14}

claude_desktop_config.json

Local · pypiPublisher installStep-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

Run on PlugMCP

Host a copy with our keys and logs.

A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.

Launch

Server facts

Local

Transport: stdio
Version: 1.0.4
API key: PG_CVE_MCP_TTL, PG_CVE_MCP_DATA_URL
Last checked: 2026-10-28

Stars: —
Tools: —
Uptime: —

Tools

No tool list yet. Remote servers get one after the first health check.

FAQ

Questions

How do I install PostgreSQL CVE & Release Intelligence?

Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

Does PostgreSQL CVE & Release Intelligence need an API key?

The publisher lists these environment variables: PG_CVE_MCP_TTL, PG_CVE_MCP_DATA_URL.

What transport does PostgreSQL CVE & Release Intelligence use?

PostgreSQL CVE & Release Intelligence runs locally over stdio.

When was PostgreSQL CVE & Release Intelligence last checked?

Last checked 2026-10-28. PostgreSQL security for AI agents: CVEs, yanked releases, exploits, and upgrade paths

From the publisher

Documentation

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 agent	Tool used	Result
"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

Tool	Description
`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 Var	Default	Description
`PG_CVE_MCP_TTL`	`86400`	Cache TTL in seconds for CVE data
`PG_CVE_MCP_DATA_URL`	`https://meob.github.io/PG_CVE/postgresql_cves.json`	CVE data source URL
`PORT`	`8000`	HTTP 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

PostgreSQL CVE & Release Intelligence

io.github.meob

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

Databases

Add to Cursor Add to VS Code Run on PlugMCP

GitHub

Add to Cursor Add to VS Code Run on PlugMCP

1{2  "mcpServers": {3    "io.github.meob-pg-cve-mcp": {4      "command": "uvx",5      "args": [6        "pg-cve-mcp==1.0.4"7      ],8      "env": {9        "PG_CVE_MCP_TTL": "<value>",10        "PG_CVE_MCP_DATA_URL": "<value>"11      }12    }13  }14}

.cursor/mcp.jsonMCP server

Transport: stdio
Status: Local

Power your agent

Add this server

The publisher's own command. Not a PlugMCP endpoint.

Add to Cursor Add to VS Code Run on PlugMCP

Host a copy with our keys and logs.

Local command

uvx pg-cve-mcp==1.0.4

Credentials from the publisher

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

Claude Code has no install link for a local command. Copy the command below and run it in a terminal.

shClaude Code

1PG_CVE_MCP_TTL=<value> PG_CVE_MCP_DATA_URL=<value> claude mcp add io.github.meob-pg-cve-mcp -- uvx pg-cve-mcp==1.0.4

Run in a terminal.

jsonClaude Desktop

1{2  "mcpServers": {3    "io.github.meob-pg-cve-mcp": {4      "command": "uvx",5      "args": [6        "pg-cve-mcp==1.0.4"7      ],8      "env": {9        "PG_CVE_MCP_TTL": "<value>",10        "PG_CVE_MCP_DATA_URL": "<value>"11      }12    }13  }14}

claude_desktop_config.json

Local · pypiPublisher installStep-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

Run on PlugMCP

Host a copy with our keys and logs.

A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.

Launch

Server facts

Local

Transport: stdio
Version: 1.0.4
API key: PG_CVE_MCP_TTL, PG_CVE_MCP_DATA_URL
Last checked: 2026-10-28

Stars: —
Tools: —
Uptime: —

Tools

No tool list yet. Remote servers get one after the first health check.

FAQ

Questions

How do I install PostgreSQL CVE & Release Intelligence?

Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

Does PostgreSQL CVE & Release Intelligence need an API key?

The publisher lists these environment variables: PG_CVE_MCP_TTL, PG_CVE_MCP_DATA_URL.

What transport does PostgreSQL CVE & Release Intelligence use?

PostgreSQL CVE & Release Intelligence runs locally over stdio.

When was PostgreSQL CVE & Release Intelligence last checked?

Last checked 2026-10-28. PostgreSQL security for AI agents: CVEs, yanked releases, exploits, and upgrade paths

From the publisher

Documentation

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.

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 agent	Tool used	Result
"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

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

Tool	Description
`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 Var	Default	Description
`PG_CVE_MCP_TTL`	`86400`	Cache TTL in seconds for CVE data
`PG_CVE_MCP_DATA_URL`	`https://meob.github.io/PG_CVE/postgresql_cves.json`	CVE data source URL
`PORT`	`8000`	HTTP 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