gpt-load

MCP server · GitHub · ★ 7.2k · graded 2026-10-21Source linked

Self-hosted AI gateway for multi-channel, multi-credential setups — API keys and subscription accounts, scheduling, failover, request logs and usage. 自托管 AI 网关：多渠道多凭据统一接入，含密钥与订阅账号、调度容错、日志与用量。

No outside reports on file

gpt-load is distributed via GitHub (tbphp/gpt-load); review its source code, dependencies, and requested permissions before use.

Based on public adoption and transparency signals as of Oct 21, 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 executionRuns shell or system commandsREVIEW
Network reachConnects to outside service APINOTED
CredentialsNo API token requiredLOW
Package sourceGitHub (tbphp/gpt-load)PUBLIC

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

Install

No npm or PyPI package is listed. Install from source: github.com/tbphp/gpt-load ↗

All setup options ↓

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About Gpt Load

Gpt Load is an MCP server focused on General: Self-hosted AI gateway for multi-channel, multi-credential setups — API keys and subscription accounts, scheduling, failover, request logs and usage. 自托管 AI 网关：多渠道多凭据统一接入，含密钥与订阅账号、调度容错、日志与用量。.

It is hosted on GitHub at tbphp/gpt-load (7,166 GitHub stars). Based on its public metadata, it operates with standard local or API scope without broad shell execution flags noted.

Setup

Check these steps against the project’s own instructions before running anything.

No standalone npm or PyPI package is listed for this MCP server. Clone and inspect the source repository directly:

bash

git clone https://github.com/tbphp/gpt-load.git

Review the README and source files in https://github.com/tbphp/gpt-load (opens external site) before running any setup commands.

Why this grade

BB — Some risk signals

Signal-based grade (4/7 points): very widely starred on GitHub, public source code. This reflects adoption and transparency, not a code review.

Popularity and upkeep

41/100

GitHub stars: 7.2k
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.

Security reports

No reports found for this package in our research (last checked 2026-10-29).

Check a specific version →

Risks to watch for

Dependency & version pinning: Distributed via GitHub (tbphp/gpt-load). 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 Gpt Load?

Gpt Load does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/tbphp/gpt-load.

Are there security reports about Gpt Load?

No reports found for this package in our research (last checked 2026-10-29). Gpt Load currently holds Grade B (Some risk signals) based on public adoption and transparency signals. Key risk areas to watch include dependency & version pinning:.

Is Gpt Load actively maintained?

Gpt Load has 7.2k GitHub stars. Our directory data was last refreshed on 2026-10-28. Check recent commit activity, release tags, and open issues at github.com/tbphp/gpt-load before pinning it in production.

What are alternatives to Gpt Load?

Compare Gpt Load 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 Gpt Load? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.

GitHub README Markdown:

markdown

[![AgentArmorHQ Risk Grade for Gpt Load](https://agentarmorhq.com/api/badge/tbphp-gpt-load)](https://agentarmorhq.com/skills/tbphp-gpt-load)

HTML embed:

html

<a href="https://agentarmorhq.com/skills/tbphp-gpt-load"><img src="https://agentarmorhq.com/api/badge/tbphp-gpt-load" alt="AgentArmorHQ Risk Grade for Gpt Load" height="20" /></a>

Terminal check:

terminal

curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "tbphp-gpt-load"

Share with your security lead

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

### AgentArmorHQ Security Review Memo: gpt-load
- **Listing URL:** https://agentarmorhq.com/skills/tbphp-gpt-load
- **Type:** App connector
- **Risk Grade:** Grade B (Some risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 7.2k GitHub stars

#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** Runs shell or system commands
- **Network reach:** Connects to outside service API
- **Credentials:** No API token required
- **Package source:** GitHub (tbphp/gpt-load)

#### Recommended Hardened Setup
- **Source Repo:** https://github.com/tbphp/gpt-load
- **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 21, 2026. Our opinion, not a code audit or security guarantee._

Key facts

Type: App connector
Publisher: tbphp
Source code: github.com/tbphp/gpt-load
Est. context load: ~550 tokens / turn (~3 tool schemas, 0.27% of 200k context)
Popularity: 7.2k GitHub stars
Last updated: 2026-10-28
Last graded: 2026-10-21

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