MCPForge is a crypto-native MCP tools marketplace that transforms GitHub-based MCP Repos into instantly deployable, callable, and monetizable AI services.
MCPForge is a crypto-native AI Agent tool marketplace that transforms GitHub-based MCP Repos into instantly deployable, callable, and monetizable AI services.
One-click MCP Deployment
Automatically transforms any GitHub MCP Repo into a production-ready MCP Server with minimal setup.
Seamless Integration with AI Clients
Compatible with MCP-enabled clients like Cursor, Claude, and other emerging AI Agents — just plug in the URL to start using.
GitHub-based Discovery Engine
Leverages advanced GitHub analytics to identify and surface high-quality MCP Repos from the open-source community.
Revenue Sharing for Developers
Developers can log in with GitHub and instantly claim earnings generated from their MCPs.
Developer-Friendly by Design
No infrastructure required. You build the logic — we handle hosting, deployment, and monetization.
Open, Modular, Composable
Each MCP acts as a plug-and-play function in a global agent economy — turning tools into digital assets.
Turn GitHub Repos into passive income streams
Retain full control over your MCP logic and identity
Build once, deploy anywhere, earn forever
Be discovered and used by a global network of AI agents
Access a growing library of ready-to-use AI agent services
Use any MCP via SSE / stdio endpoints with zero setup
Find the right tool fast through GitHub-backed discovery
Trust in provenance — every MCP is linked to a verified developer
Build workflows or agents by composing MCPs like Lego blocks
A world where:
Every developer can productize their skills through open-source MCPs
Every AI Agent can access a decentralized library of callable intelligence
We believe AI + GitHub + crypto can create a new open economy of intelligence — and MCPForge is the gateway.
1. Conducted rapid ideation and aligned on product direction based on the hackathon track — building a crypto-native MCP (Model Context Protocol) marketplace. 2. Researched and successfully implemented a Kubernetes-based deployment architecture for MCP servers. 3. Developed and integrated an MCP transport protocol proxy to support flexible routing and communication. 4. Frontend and backend development were executed in parallel to accelerate the build process. 5. Completed frontend-backend integration testing to ensure smooth interoperability. 6. Performed comprehensive cloud environment testing and final optimizations to guarantee system stability and readiness for launch.
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