53AIHub

MCP server · GitHub · ★ 4.3k · graded 2026-10-21Source linked

53AI Hub is an open-source AI portal and knowledge base for managing enterprise knowledge, AI agents, prompts, and AI tools, seamlessly integrating with Coze, Dify, FastGPT, RAGFlow. 一个AI知识库与Agent门户

No outside reports on file

This tool centralizes access to several AI systems, so weak security here creates a single point of failure for multiple platforms and your stored knowledge.

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 executionNo shell command runner notedLOW
  • Network reachConnects to outside service APINOTED
  • CredentialsNo API token requiredLOW
  • Package sourceGitHub (53AI/53AIHub)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/53AI/53AIHub ↗

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: C (from public signals such as stars and downloads, not a code review). Graded 2026-10-21.

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 53AIHub

53AIHub is an open-source platform that acts as a central hub for managing AI knowledge bases, agents, and prompts. It integrates with several AI tools like Coze, Dify, FastGPT, and RAGFlow to help enterprises organize and deploy AI capabilities in one place.

Who it’s for

Enterprise teams that need to manage multiple AI tools and knowledge bases from a single dashboard. It's designed for organizations already using or planning to use enterprise AI platforms.

Alternatives

  • LangChain: Open-source framework for building AI applications with plugin support.
  • Dify: Similar open-source AI platform with built-in knowledge base and agent management.
  • LLaMA Index: Open-source data framework for connecting AI models to knowledge sources.
  • Haystack: German open-source framework for building AI search and question-answering systems.

Setup

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

Follow the setup steps in the project’s official README: https://github.com/53AI/53AIHub (opens external site)

Why this grade

CC — Moderate risk signals

Signal-based grade (3/7 points): well starred on GitHub, public source code. This reflects adoption and transparency, not a code review.

Popularity and upkeep

38/100
GitHub stars
4.3k
Listing last refreshed
2026-10-30

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

Risks to watch for

  • Access to multiple AI systems: Once connected, it can reach your Coze, Dify, FastGPT, and RAGFlow accounts, so a security breach here compromises several tools at once.
  • Prompt injection attacks: Malicious users could inject commands into stored prompts or knowledge base content that trick the AI into unintended actions.
  • Data leakage through integrations: Knowledge bases and prompts might contain sensitive company information that could be exposed if the hub is compromised or misconfigured.
  • Untrusted code in open source: As an open-source project, any malicious contributor could inject harmful code into updates without obvious detection.
  • Web interface vulnerabilities: Like any web portal, it could have bugs that let attackers access data, inject content, or escalate privileges.

How to lower the risk

Least-privilege permissions

  • Only connect the AI accounts and credentials that this hub absolutely needs.
  • Use separate API keys or tokens for each integration, never reuse master credentials.

Network isolation

  • Run it behind a firewall or VPN; do not expose it directly to the public internet.
  • Isolate it from other production systems on your network when possible.

Monitoring

  • Log all API calls and data access to detect unusual activity.
  • Review integration permissions regularly and revoke unused connections.

Red flags to watch for

  • Unexpected changes to stored prompts or knowledge base content.
  • Requests from unknown sources to access your connected AI platforms.
  • Performance slowdowns or failed connections that might indicate intrusion.

Questions

How do I install 53AIHub?

53AIHub does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/53AI/53AIHub.

Are there security reports about 53AIHub?

No reports found for this package in our research (last checked 2026-10-30). 53AIHub currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include access to multiple ai systems, prompt injection attacks, data leakage through integrations.

Is 53AIHub actively maintained?

53AIHub has 4.3k GitHub stars. Our directory data was last refreshed on 2026-10-30. Check recent commit activity, release tags, and open issues at github.com/53AI/53AIHub before pinning it in production.

What are alternatives to 53AIHub?

Notable alternatives to 53AIHub include LangChain (Open-source framework for building AI applications with plugin support), Dify (Similar open-source AI platform with built-in knowledge base and agent management), LLaMA Index (Open-source data framework for connecting AI models to knowledge sources), Haystack (German open-source framework for building AI search and question-answering systems). You can also compare 53AIHub side by side with other MCP servers in the Related tools section on this page.

README badge and team notes

Maintain or use 53AIHub? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.

AgentArmorHQ Risk Grade C for 53AIHub

GitHub README Markdown:

markdown
[![AgentArmorHQ Risk Grade for 53AIHub](https://agentarmorhq.com/api/badge/53ai-53aihub)](https://agentarmorhq.com/skills/53ai-53aihub)

HTML embed:

html
<a href="https://agentarmorhq.com/skills/53ai-53aihub"><img src="https://agentarmorhq.com/api/badge/53ai-53aihub" alt="AgentArmorHQ Risk Grade for 53AIHub" height="20" /></a>

Terminal check:

terminal
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "53ai-53aihub"

Share with your security lead

Need sign-off to use 53AIHub? Copy this note for Slack, a ticket or a pull request.

### AgentArmorHQ Security Review Memo: 53AIHub
- **Listing URL:** https://agentarmorhq.com/skills/53ai-53aihub
- **Type:** App connector
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 4.3k GitHub stars

#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** No shell command runner noted
- **Network reach:** Connects to outside service API
- **Credentials:** No API token required
- **Package source:** GitHub (53AI/53AIHub)

#### Recommended Hardened Setup
- **Source Repo:** https://github.com/53AI/53AIHub
- **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
53AI
Source code
github.com/53AI/53AIHub
Est. context load
~750 tokens / turn (~4 tool schemas, 0.38% of 200k context)
Popularity
4.3k GitHub stars
Last updated
2026-10-30
Last graded
2026-10-21

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