golf
Production-Ready MCP Server Framework • Build, deploy & scale secure AI agent infrastructure • Includes Auth, Observability, Debugger, Telemetry & Runtime • Run real-world MCPs powering AI Agents
No outside reports on file
Golf itself is a tool for building integrations safely, but like any framework that connects AI to real systems, it requires careful setup and monitoring to prevent unauthorized access or data leaks.
Based on public adoption and transparency signals as of Oct 24, 2026. Our opinion, not a code audit or security guarantee.
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 (golf-mcp/golf)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/golf-mcp/golf ↗
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 2026-10-24.
Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.
About Golf
Golf is a framework for building and running Model Context Protocol (MCP) servers—tools that let AI agents connect to other systems and perform actions. It provides built-in features like authentication, logging, debugging, and performance tracking to help you run these integrations safely and reliably in production environments.
Who it’s for
Developers building AI agent systems who need a structured way to create MCP servers with enterprise-grade security and monitoring. Teams that want to deploy AI integrations at scale with built-in observability and debugging tools.
Alternatives
- Claude Desktop MCP integrations — Claude's native support for Model Context Protocol without a separate framework
- LangChain Agent tools — Python-based framework for connecting agents to external APIs and services
- OpenAI Assistants API — Native integration layer with built-in tool calling for structured workflows
Setup
Check these steps against the project’s own instructions before running anything.
Follow the project's README. The golf GitHub repository should have installation and configuration instructions for building MCP servers with their framework.
Why this grade
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
- GitHub stars
- 840
- 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
- Account access: Any MCP server built with golf can reach whatever systems or APIs you connect it to, giving the AI broad capabilities based on your configuration
- Deceptive prompts: An attacker could craft instructions inside data or web pages to trick the AI into using golf-connected tools in unintended ways
- Data leakage: Telemetry and logs may capture sensitive information from requests, responses, or system interactions if not carefully configured
- Supply chain: The framework and its dependencies could be compromised, affecting all servers built with it
- Misconfiguration: Weak authentication settings or overly permissive access rules could expose connected systems to unauthorized use
How to lower the risk
Least-privilege permissions
- Only grant MCP servers access to the specific APIs or systems they truly need
- Use role-based access controls and API keys with minimal scopes
Network isolation
- Run MCP servers in sandboxed environments or containers
- Restrict outbound network connections to approved endpoints only
Monitoring
- Enable all logging and telemetry to detect unusual behavior early
- Regularly review logs for suspicious requests or data patterns
Red flags to watch for
- Unexpected API calls to systems the MCP shouldn't touch
- Large volumes of data being logged or transmitted unexpectedly
- Authentication failures or permission errors appearing suddenly
Questions
How do I install Golf?
Golf does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/golf-mcp/golf.
Are there security reports about Golf?
No reports found for this package in our research (last checked 2026-10-30). Golf currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include account access, deceptive prompts, data leakage.
Is Golf actively maintained?
Golf has 840 GitHub stars. Our directory data was last refreshed on 2026-10-30. Check recent commit activity, release tags, and open issues at github.com/golf-mcp/golf before pinning it in production.
What are alternatives to Golf?
Notable alternatives to Golf include Claude Desktop MCP integrations (Claude's native support for Model Context Protocol without a separate framework), LangChain Agent tools (Python-based framework for connecting agents to external APIs and services), OpenAI Assistants API (Native integration layer with built-in tool calling for structured workflows). You can also compare Golf side by side with other MCP servers in the Related tools section on this page.
README badge and team notes
Maintain or use Golf? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.
GitHub README Markdown:
[](https://agentarmorhq.com/skills/golf-mcp-golf)HTML embed:
<a href="https://agentarmorhq.com/skills/golf-mcp-golf"><img src="https://agentarmorhq.com/api/badge/golf-mcp-golf" alt="AgentArmorHQ Risk Grade for Golf" height="20" /></a>Terminal check:
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "golf-mcp-golf"Share with your security lead
Need sign-off to use golf? Copy this note for Slack, a ticket or a pull request.
### AgentArmorHQ Security Review Memo: golf
- **Listing URL:** https://agentarmorhq.com/skills/golf-mcp-golf
- **Type:** App connector
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 840 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 (golf-mcp/golf)
#### Recommended Hardened Setup
- **Source Repo:** https://github.com/golf-mcp/golf
- **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
- golf-mcp
- Source code
- github.com/golf-mcp/golf
- Est. context load
- ~900 tokens / turn (~5 tool schemas, 0.45% of 200k context)
- Popularity
- 840 GitHub stars
- Last updated
- 2026-10-30
- Last graded
- 2026-10-24
Community
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