Who is pgops-mcp for?

pgops-mcp is an open-source project built for developers building AI agents with PostgreSQL backends.

Does pgops-mcp have a free plan?

Yes — pgops-mcp is open source under the MIT license and free to use.

What platforms does pgops-mcp run on?

pgops-mcp runs on the command line. It can also be self-hosted.

Is pgops-mcp still maintained?

The GitHub repository shows 93 commits in the last 90 days.

What projects are similar to pgops-mcp?

Similar projects tracked by PulseGate include pgops-mcp, pg-cve-mcp, and pdfops-mcp.

pgops-mcp is developed by arzharch.

When did pgops-mcp launch?

pgops-mcp first shipped in 2026.

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pgops-mcp

Name: pgops-mcp
Author: arzharch

PyPIInfrastructure

pgops-mcp is an open-source Model Context Protocol server that provides AI agents with safe, audited PostgreSQL operations and Docker environment awareness. It is intended for developers building agent workflows that need controlled database access.

Open SourceMITCLISelf-hosted

Visit PyPI

Overview

5 features

In the Frameworks & runtimes space, pgops-mcp takes a focused approach. It focuses on giving AI agents controlled, auditable access to PostgreSQL databases and Docker environments. pgops-mcp is an open-source project aimed at developers building AI agents with PostgreSQL backends. The project is open source (MIT). pgops-mcp is available on the command line, and it can be self-hosted.

It is developed by arzharch, and it first shipped in 2026. Development happens publicly on GitHub with 93 commits in the last 90 days. Among its 5 catalogued features are PostgreSQL Operations, Audited Actions, and Docker Awareness. It exposes integrations via an MCP server.

Summary written by a language model from the project’s public pages.

PostgreSQL Operations
Audited Actions
Docker Awareness
MCP Server
Database Access Controls

Built with & integrations

Connectors

MCP

Runs on

CLISelf-hosted

Trust & compliance

License

MIT

Verified signals

HTTPSOpen Source GitHubActive maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed26 Aug · 21:05 UTC
pgops-mcp verified via PyPI Bulk Enumerator
Source: PyPI Bulk Enumerator · Open

Frequently asked questions about pgops-mcp

What does pgops-mcp do?: Pgops-mcp focuses on giving AI agents controlled, auditable access to PostgreSQL databases and Docker environments. It is catalogued under Frameworks & runtimes on PulseGate.
Who is pgops-mcp for?: pgops-mcp is an open-source project built for developers building AI agents with PostgreSQL backends.
Does pgops-mcp have a free plan?: Yes — pgops-mcp is open source under the MIT license and free to use.
What platforms does pgops-mcp run on?: pgops-mcp runs on the command line. It can also be self-hosted.
Is pgops-mcp still maintained?: The GitHub repository shows 93 commits in the last 90 days.
What projects are similar to pgops-mcp?: Similar projects tracked by PulseGate include pgops-mcp, pg-cve-mcp, and pdfops-mcp.pgops-mcp pg-cve-mcp pdfops-mcp
Who makes pgops-mcp?: pgops-mcp is developed by arzharch.
When did pgops-mcp launch?: pgops-mcp first shipped in 2026.

At a glance

Platforms: CLI
Languages: English
Open source: Yes (GitHub)
License: MIT
First seen: 26 Aug 2026
Built for: developers building AI agents with PostgreSQL backends
Model: Open source
Solves: Giving AI agents controlled, auditable access to PostgreSQL databases and Docker environments.

Registered as

GitHub: arzharch/pgops-mcp
PyPI: pgops-mcp

Developer

arzharch

Solo developer

GitHub

Open source

View on GitHub

Stars: 0
Forks: 0
Open issues: 0
Last commit: 26 Aug 2026
Commits 90d: 93
Contributors: 1
Authorship: Solo
Default branch: main

Index record

Indexed: 26 Aug 2026
Lifecycle: Alive
First seen: Aug 2026
Last seen: 26 Aug 2026

Identity audit (13)

Slug: pgops-mcp-pypi-org
Lifecycle last checked: 8 Sept 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 26 Aug 2026
Timeline basis: Indexed-at chronology (no inferred launch/funding milestones).
Name from: Written by a language model from the project's public pages.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Last updated: 26 Aug 2026
Canonical URL: https://pypi.org/project/pgops-mcp

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