data-olympus

MCP server · PyPI · ★ 31 · graded 2026-10-19Source linked

Governance-grade, OKF-compatible knowledge-base format with a single-writer MCP server and CLI. Pre-release.

No outside reports on file

data-olympus is distributed via PyPI (data-olympus); review its source code, dependencies, and requested permissions before use.

Based on public adoption and transparency signals as of Oct 19, 2026. Our opinion, not a code audit or security guarantee.

Was this verdict for Data Olympus helpful?

What it can access

  • Local filesNo local folder access notedLOW
  • Command executionNo shell command runner notedLOW
  • Network reachLocal or standard API callsLOW
  • CredentialsNo API token requiredLOW
  • Package sourcePyPI (data-olympus)PUBLIC

Inferred from this listing’s public package details and description. Check the project’s source before installing.

Install

uvx data-olympus

All setup options ↓

Everything known

We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.

0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30

Popularity grade: D (from public signals such as stars and downloads, not a code review). Graded 2026-10-19.

Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.

Check a specific version →

About Data Olympus

Data Olympus is an MCP server focused on Developer tools and Data & databases: Governance-grade, OKF-compatible knowledge-base format with a single-writer MCP server and CLI. Pre-release.

It is published on PyPI as data-olympus and hosted on GitHub at knaisoma/data-olympus (31 GitHub stars). Based on its public metadata, it operates with standard local or API scope without broad shell execution flags noted.

Setup

These use the package this listing points to. Check the project’s own instructions before running anything.

PyPI command

uvx data-olympus

PyPI (pip) command

pip install data-olympus

MCP client config

For Claude Desktop (claude_desktop_config.json) or Cursor (.cursor/mcp.json).

json
{
  "mcpServers": {
    "data-olympus": {
      "command": "uvx",
      "args": [
        "data-olympus"
      ]
    }
  }
}

Why this grade

DD — High risk signals

Signal-based grade (1/7 points): public source code. This reflects adoption and transparency, not a code review.

Popularity and upkeep

22/100
GitHub stars
31
Listing last refreshed
2026-10-29

These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.

Risks to watch for

  • Dependency & version pinning: Distributed via PyPI (data-olympus). Pin an exact release version or commit SHA rather than floating tags so upstream updates are reviewed first.

How to lower the risk

Least-privilege permissions

  • Give it access only to the specific folders, accounts or projects it needs, never your whole drive or admin account.
  • Use a separate, limited API key or login just for this tool so you can switch it off without affecting anything else.

Network isolation

  • Run it on a work computer or sandbox account, not one holding personal or company-sensitive data.
  • If your IT team can, limit which websites and services it is allowed to contact.

Monitoring

  • Check its activity history or logs weekly at first, and look at what it changed or sent.
  • Turn on alerts for new logins or unusual usage on any account it connects to.

Red flags to watch for

  • It asks for more access than its job requires, or prompts you to paste passwords.
  • It suddenly updates with new owners, or starts contacting unfamiliar websites.

Questions

How do I install Data Olympus?

Run uvx data-olympus (or pip install data-olympus) in your terminal, or add the server entry to your claude_desktop_config.json or .cursor/mcp.json as shown in the Setup section on this page. Full setup docs and environment variables are in github.com/knaisoma/data-olympus.

Are there security reports about Data Olympus?

No reports found for this package in our research (last checked 2026-10-30). Data Olympus currently holds Grade D (High risk signals) based on public adoption and transparency signals. Review the permissions and source repository before granting access to local files, shell commands, or API keys.

Is Data Olympus actively maintained?

Data Olympus has 31 GitHub stars. Our directory data was last refreshed on 2026-10-29. Check recent commit activity, release tags, and open issues at github.com/knaisoma/data-olympus before pinning it in production.

What are alternatives to Data Olympus?

Compare Data Olympus side by side with similar MCP servers in the Related tools section on this page, or browse all MCP servers on AgentArmorHQ.

README badge and team notes

Maintain or use Data Olympus? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.

AgentArmorHQ Risk Grade D for Data Olympus

GitHub README Markdown:

markdown
[![AgentArmorHQ Risk Grade for Data Olympus](https://agentarmorhq.com/api/badge/knaisoma-data-olympus)](https://agentarmorhq.com/skills/knaisoma-data-olympus)

HTML embed:

html
<a href="https://agentarmorhq.com/skills/knaisoma-data-olympus"><img src="https://agentarmorhq.com/api/badge/knaisoma-data-olympus" alt="AgentArmorHQ Risk Grade for Data Olympus" height="20" /></a>

Terminal check:

terminal
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "knaisoma-data-olympus"

Share with your security lead

Need sign-off to use data-olympus? Copy this note for Slack, a ticket or a pull request.

### AgentArmorHQ Security Review Memo: data-olympus
- **Listing URL:** https://agentarmorhq.com/skills/knaisoma-data-olympus
- **Type:** App connector
- **Risk Grade:** Grade D (High risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 31 GitHub stars

#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** No shell command runner noted
- **Network reach:** Local or standard API calls
- **Credentials:** No API token required
- **Package source:** PyPI (data-olympus)

#### Recommended Hardened Setup
- **Command:** `uvx data-olympus`
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.

_Based on public adoption and transparency signals as of Oct 19, 2026. Our opinion, not a code audit or security guarantee._

Key facts

Type
App connector
Publisher
knaisoma
Source code
github.com/knaisoma/data-olympus
Install command
pip install data-olympus
Est. context load
~850 tokens / turn (~5 tool schemas, 0.43% of 200k context)
Popularity
31 GitHub stars
Last updated
2026-10-29
Last graded
2026-10-19

Community

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