MCP Fusion

v1.0.0Developer Toolsstable

MCP Fusion - The TypeScript framework for secure MCP servers.

mcpmcp-frameworkmcp-servermodel-context-protocol
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What is MCP Fusion?

MCP Fusion is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp fusion - the typescript framework for secure mcp servers.

MCP Fusion - The TypeScript framework for secure MCP servers.

This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • MCP Fusion - The TypeScript framework for secure MCP servers

Use Cases

Build secure MCP servers using a TypeScript framework.
Develop with best practices and security guardrails.
Create production-ready MCP implementations.
vinkius-labs

Maintainer

LicenseApache-2.0
Languagetypescript
Versionv1.0.0
UpdatedMay 20, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx mcpfusion

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use MCP Fusion

MCP Fusion is a TypeScript framework for building production-ready, secure MCP servers with built-in governance, security modules, and multiple deployment targets including Vercel, Cloudflare Workers, and Vinkius Edge. It provides three authoring styles — declarative YAML, typed TypeScript with defineModel/definePresenter, and finite state machine (FSM) workflows — and ships with generators that convert OpenAPI specs, Prisma schemas, and n8n workflows directly into MCP tools. Developers choose MCP Fusion when they need enterprise-grade security guardrails like egress firewalls, Zod schema validation, V8 sandbox isolation, and LLM-as-Judge prompt filtering alongside rapid MCP server scaffolding.

Prerequisites

  • Node.js runtime with npm installed
  • TypeScript 5.7 or higher for TypeScript authoring mode
  • An MCP client such as Claude Desktop or Claude Code to connect to the server
  • A deployment target account if deploying remotely: Vercel, Cloudflare (wrangler), or Vinkius Edge
  • Optional: Prisma schema or OpenAPI spec if using code generators
1

Scaffold a new MCP Fusion server

Use the mcpfusion CLI to create a new server project. The tool sets up the directory structure, TypeScript config, and example tool definitions automatically.

npx @mcpfusion/core create my-server
cd my-server
npm run dev
2

Choose an authoring style

MCP Fusion supports YAML for zero-code declarative tools, TypeScript for full type safety, and FSM for enforced workflow state machines. Start with YAML for simplicity.

# tools/search.yaml
tools:
  - name: search_repos
    parameters:
      query: { type: string, required: true }
    execute:
      connection: github
      method: GET
      path: "/search/repositories"
      query: { q: "{{query}}", per_page: "10" }
3

Configure secrets and connections

Secrets are referenced using the ${SECRETS.*} syntax in YAML config or injected via environment variables. Never hard-code API tokens.

# connections.yaml
connections:
  github:
    auth:
      type: bearer
      token: "${SECRETS.GITHUB_TOKEN}"
4

Enable security modules

Add security guardrails including Zod-validated egress firewall, PromptFirewall (LLM-as-Judge), and SandboxEngine (V8 isolates) to protect against prompt injection and data exfiltration.

// src/presenters/SafePresenter.ts
import { definePresenter } from '@mcpfusion/core';

export const SafePresenter = definePresenter({
  egress: { schema: z.object({ result: z.string() }) },
  sandbox: true,
  promptFirewall: { model: 'claude-3-haiku' }
});
5

Generate tools from existing schemas

Use built-in generators to auto-create MCP tools from a Prisma schema, OpenAPI spec, or n8n workflow to avoid hand-writing repetitive tool definitions.

# Scaffold from Prisma
npx @mcpfusion/core create db-server --vector prisma

# Scaffold from OpenAPI
npx @mcpfusion/core create api-server --vector openapi

# Scaffold with n8n bridge
npx @mcpfusion/core create ops-bridge --vector n8n
6

Deploy to your target environment

Deploy the finished server to Vercel Functions, Cloudflare Workers, or Vinkius Edge using the respective deployment tool.

# Vercel
vercel deploy

# Cloudflare Workers
wrangler deploy

# Vinkius Edge
mcpfusion deploy

MCP Fusion Examples

Client configuration

Claude Desktop config for a locally running MCP Fusion development server. Replace the port if your dev server uses a different one.

{
  "mcpServers": {
    "mcpfusion-local": {
      "command": "npx",
      "args": ["@mcpfusion/core", "dev"],
      "env": {
        "GITHUB_TOKEN": "ghp_YOUR_TOKEN_HERE"
      }
    }
  }
}

Prompts to try

Example prompts once the MCP Fusion server is connected and tools are registered

- "Search GitHub for TypeScript MCP server repositories"
- "List all tools this server exposes"
- "Run the search_repos tool with query 'model context protocol'"
- "Show me the current FSM state for the onboarding workflow"

Troubleshooting MCP Fusion

TypeScript compilation errors after scaffolding

Ensure TypeScript 5.7+ is installed. Run npm install inside the project directory and verify tsconfig.json sets 'strict: true' and 'moduleResolution: bundler'.

Secrets not resolving (${SECRETS.MY_KEY} appears literally)

Set the corresponding environment variable before starting the server. In local dev, add a .env file at the project root and ensure it is loaded. On Cloudflare Workers, use wrangler secret put MY_KEY.

Deployment fails with permission error on Vinkius Edge

Run mcpfusion login to authenticate your Vinkius account first. Confirm your project is linked with mcpfusion link and that billing is active on the Vinkius dashboard.

Frequently Asked Questions about MCP Fusion

What is MCP Fusion?

MCP Fusion is a Model Context Protocol (MCP) server that mcp fusion - the typescript framework for secure mcp servers. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install MCP Fusion?

Follow the installation instructions on the MCP Fusion GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with MCP Fusion?

MCP Fusion works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is MCP Fusion free to use?

Yes, MCP Fusion is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.

Browse More Developer Tools MCP Servers

Explore all developer tools servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "mcpfusion": { "command": "npx", "args": ["-y", "mcpfusion"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

Ready to use MCP Fusion?

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