federated-ai-commons

MCP server · PyPI · graded 2026-10-24Source linked

MCP server for a federated AI-commons governance simulation with a verified compliance oracle.

No outside reports on file

federated-ai-commons is distributed via PyPI (federated-ai-commons-mcp); review its source code, dependencies, and requested permissions before use.

Based on public adoption and transparency signals as of Oct 24, 2026. Our opinion, not a code audit or security guarantee.

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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 (federated-ai-commons-mcp)PUBLIC

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

Install

uvx federated-ai-commons-mcp

All setup options ↓

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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 2026-10-24.

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 Federated AI Commons

Federated AI Commons is an MCP server focused on Cloud & infrastructure: MCP server for a federated AI-commons governance simulation with a verified compliance oracle.

It is published on PyPI as federated-ai-commons-mcp and hosted on GitHub at Toby-Self/Federated-AI-Commons-Model. 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 federated-ai-commons-mcp

PyPI (pip) command

pip install federated-ai-commons-mcp

MCP client config

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

json

{
  "mcpServers": {
    "federated-ai-commons-mcp": {
      "command": "uvx",
      "args": [
        "federated-ai-commons-mcp"
      ]
    }
  }
}

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

4/100

Listing last refreshed: 2026-10-28

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 (federated-ai-commons-mcp). 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 Federated AI Commons?

Run uvx federated-ai-commons-mcp (or pip install federated-ai-commons-mcp) 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/Toby-Self/Federated-AI-Commons-Model.

Are there security reports about Federated AI Commons?

No reports found for this package in our research (last checked 2026-10-30). Federated AI Commons 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 Federated AI Commons actively maintained?

We do not have star or download counts on file for Federated AI Commons yet (listing refreshed 2026-10-28). Check the commit history and open issues at github.com/Toby-Self/Federated-AI-Commons-Model before relying on it.

What are alternatives to Federated AI Commons?

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

Maintain or use Federated AI Commons? 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 Federated AI Commons

GitHub README Markdown:

markdown

[![AgentArmorHQ Risk Grade for Federated AI Commons](https://agentarmorhq.com/api/badge/toby-self-federated-ai-commons-model)](https://agentarmorhq.com/skills/toby-self-federated-ai-commons-model)

HTML embed:

html

<a href="https://agentarmorhq.com/skills/toby-self-federated-ai-commons-model"><img src="https://agentarmorhq.com/api/badge/toby-self-federated-ai-commons-model" alt="AgentArmorHQ Risk Grade for Federated AI Commons" height="20" /></a>

Terminal check:

terminal

curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "toby-self-federated-ai-commons-model"

Share with your security lead

Need sign-off to use federated-ai-commons? Copy this note for Slack, a ticket or a pull request.

### AgentArmorHQ Security Review Memo: federated-ai-commons
- **Listing URL:** https://agentarmorhq.com/skills/toby-self-federated-ai-commons-model
- **Type:** App connector
- **Risk Grade:** Grade D (High risk signals)
- **Outside Security Advisories on File:** 0

#### 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 (federated-ai-commons-mcp)

#### Recommended Hardened Setup
- **Command:** `uvx federated-ai-commons-mcp`
- **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 24, 2026. Our opinion, not a code audit or security guarantee._

Key facts

Type: App connector
Publisher: Toby-Self
Source code: github.com/Toby-Self/Federated-AI-Commons-Model
Install command: pip install federated-ai-commons-mcp
Est. context load: ~850 tokens / turn (~5 tool schemas, 0.43% of 200k context)
Last updated: 2026-10-28
Last graded: 2026-10-24

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