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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

GolfMCP serves as an open-source framework aimed at simplifying the development and deployment of production-ready Model Context Protocol (MCP) servers, which empowers organizations to construct a secure and scalable infrastructure for AI agents without the hassle of boilerplate code. Developers can effortlessly define tools, prompts, and resources using straightforward Python files, while Golf takes care of essential tasks like routing, authentication, telemetry, and observability, allowing you to concentrate on the core logic rather than underlying plumbing. The platform incorporates enterprise-level authentication methods such as JWT, OAuth Server, and API keys, along with automatic telemetry and a file-based organization that removes the need for decorators or manual schema configurations. It also features built-in utilities that facilitate interactions with large language models (LLMs), comprehensive error logging, OpenTelemetry integration, and deployment tools like a command-line interface with commands for initializing, building, and running projects. Furthermore, Golf includes the Golf Firewall, a robust security layer tailored for MCP servers that enforces strict token validation to enhance the overall security framework. This extensive functionality ensures that developers are equipped with everything they need to create efficient AI-driven applications.

Description

OpenViking is an open-source context database tailored for AI agents, utilizing a file-system architecture to streamline the management of memories, resources, and skills. Rather than viewing context as disjointed pieces in a fragmented vector store, OpenViking consolidates agent context into a virtual file system through the viking protocol, allowing agents to effectively store, navigate, retrieve, and observe the necessary information. This system is designed to alleviate the burdens of manual context management for developers, offering agents a simplified interaction model akin to file operations. Furthermore, OpenViking facilitates hierarchical context loading, semantic and recursive retrieval, session management, metrics tracking, and observability, enabling AI agents to efficiently access pertinent information without overwhelming prompts. By adopting this approach, developers can enhance the efficiency and effectiveness of their AI systems.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Claude Code
Cursor
Model Context Protocol (MCP)
Aider
Antigravity CLI
Claude Desktop
Codex CLI
Factory Droid
Gemini CLI
GitHub Copilot
Google Antigravity
Hermes Agent
Kimi Code
Kiro
OpenAI Codex
OpenClaw
OpenCode
Pi Agent
Python
TRAE

Integrations

Claude Code
Cursor
Model Context Protocol (MCP)
Aider
Antigravity CLI
Claude Desktop
Codex CLI
Factory Droid
Gemini CLI
GitHub Copilot
Google Antigravity
Hermes Agent
Kimi Code
Kiro
OpenAI Codex
OpenClaw
OpenCode
Pi Agent
Python
TRAE

Pricing Details

Free
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Golf

Country

United States

Website

golf.dev/

Vendor Details

Company Name

OpenViking

Founded

2026

Country

United States

Website

openviking.ai/

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