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GWAS Bioinformatics MCP Server

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

Access 30+ bioinformatics tools from 14 databases.

No outside reports on file

GWAS Bioinformatics MCP Server is distributed via PyPI (gwas-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.

Was this verdict for GWAS Bioinformatics MCP Server 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 (gwas-mcp)PUBLIC

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

Install

uvx gwas-mcp

All setup options ↓

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About GWAS Bioinformatics MCP Server

GWAS Bioinformatics MCP Server is an MCP server focused on Data & databases and Cloud & infrastructure: Access 30+ bioinformatics tools from 14 databases.

It is published on PyPI as gwas-mcp and hosted on GitHub at zaeyasa/gwas-mcp. 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 gwas-mcp

PyPI (pip) command

pip install gwas-mcp

MCP client config

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

json
{
  "mcpServers": {
    "gwas-mcp": {
      "command": "uvx",
      "args": [
        "gwas-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
2026-10-29

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 PyPI (gwas-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 GWAS Bioinformatics MCP Server?

Run uvx gwas-mcp (or pip install gwas-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/zaeyasa/gwas-mcp.

Are there security reports about GWAS Bioinformatics MCP Server?

No reports found for this package in our research (last checked 2026-10-29). GWAS Bioinformatics MCP Server 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 GWAS Bioinformatics MCP Server actively maintained?

We do not have star or download counts on file for GWAS Bioinformatics MCP Server yet (listing refreshed 2026-10-29). Check the commit history and open issues at github.com/zaeyasa/gwas-mcp before relying on it.

What are alternatives to GWAS Bioinformatics MCP Server?

Compare GWAS Bioinformatics MCP Server 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 GWAS Bioinformatics MCP Server? 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 GWAS Bioinformatics MCP Server

GitHub README Markdown:

markdown
[![AgentArmorHQ Risk Grade for GWAS Bioinformatics MCP Server](https://agentarmorhq.com/api/badge/zaeyasa-gwas-mcp)](https://agentarmorhq.com/skills/zaeyasa-gwas-mcp)

HTML embed:

html
<a href="https://agentarmorhq.com/skills/zaeyasa-gwas-mcp"><img src="https://agentarmorhq.com/api/badge/zaeyasa-gwas-mcp" alt="AgentArmorHQ Risk Grade for GWAS Bioinformatics MCP Server" height="20" /></a>

Terminal check:

terminal
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "zaeyasa-gwas-mcp"

Share with your security lead

Need sign-off to use GWAS Bioinformatics MCP Server? Copy this note for Slack, a ticket or a pull request.

### AgentArmorHQ Security Review Memo: GWAS Bioinformatics MCP Server
- **Listing URL:** https://agentarmorhq.com/skills/zaeyasa-gwas-mcp
- **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 (gwas-mcp)

#### Recommended Hardened Setup
- **Command:** `uvx gwas-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
zaeyasa
Source code
github.com/zaeyasa/gwas-mcp
Install command
pip install gwas-mcp
Est. context load
~850 tokens / turn (~5 tool schemas, 0.43% of 200k context)
Last updated
2026-10-29
Last graded
2026-10-24

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