MCPCore

MCPCore is a commercial platform built on the open Model Context Protocol (MCP) standard, designed to dramatically simplify the process of creating and managing MCP servers. It removes the friction of server setup, infrastructure management, authentication, and runtime monitoring, allowing developers and teams to focus on building tools that connect AI assistants like Claude and GPT-4 to external APIs, databases, and services. The platform is fully functional and currently in beta, with a free tier available for exploration.

How to use MCPCore

Using MCPCore involves a streamlined three-step process entirely within your browser. First, you create an MCP server from the dashboard, giving it a name and selecting one of four security access modes: Public, API Key, OAuth 2.0, or Bearer Token. An endpoint is generated instantly. Second, you write your tool's logic in JavaScript using the platform's built-in IDE. You can connect to any API using `sdk.http()` or a database with `sdk.db()`, while securely referencing encrypted secrets (like API keys) as `env.KEY`. The platform offers AI-assisted generation where you describe the tool in plain language, and an AI agent drafts the code. You can test the tool with real parameters in an isolated environment before deployment. Third, you deploy the server with one click and then copy the generated server URL into your compatible AI client (like Claude Desktop or Cursor) using the ready-made configuration snippets provided by MCPCore.

Core Features of MCPCore

• Browser-Based Full IDE: A professional-grade code editor with autocomplete, syntax highlighting, and live cursor tracking for writing, testing, and deploying MCP tools without local setup.
• AI-Assisted Tool Generation: Describe a tool's function in plain language, and an AI agent generates the corresponding JavaScript code, parameters, and name.
• Visual Parameter & Security Builder: Define typed input parameters (string, number, boolean, object, array) via a drag-and-drop interface and configure security per server with four modes (Public, API Key, OAuth 2.0, Bearer Token).
• Encrypted Secrets Management: Store API keys and connection strings encrypted with AES-256 at rest, accessible securely in code as `env.VARIABLE_NAME` without exposure in logs or responses.
• Real-Time Analytics & Error Reporting: Track requests, latency, and cost per server with daily/hourly breakdowns. Every failed execution captures full stack traces, input parameters, and runtime logs.
• One-Click Deployment & Instant Subdomain: Deploy servers directly from the browser to a `[name].mcpcore.io` endpoint in under 30 seconds, with built-in rate limiting.
• Pre-Built AI Client Integrations: Generate copy-paste configuration snippets for seamless connection with Claude Desktop, Cursor, Windsurf, Cline, and VS Code.

Use Cases for MCPCore

MCPCore is ideal for developers and teams building AI-augmented applications. Use cases include creating custom tools for AI assistants to query internal databases, call proprietary REST APIs, send notifications, fetch CRM data, or process information. It's suitable for building both public demo tools and secure, production-grade integrations locked behind enterprise authentication. The platform enables rapid prototyping and deployment of context-aware tools that extend the capabilities of AI models within development environments and end-user applications.

Advantages of MCPCore

MCPCore's primary advantage is consolidating the entire MCP server lifecycle—development, security, deployment, and monitoring—into a single, browser-accessible platform, eliminating the need for CLI tools, GitHub repos, DevOps pipelines, and self-hosted infrastructure. Compared to framework-based or self-hosted SDK approaches, it offers significantly faster setup (minutes vs. hours/days), built-in professional features like AI code generation and visual security config, and comprehensive, MCP-aware analytics out of the box. The platform prioritizes developer experience with instant testing, encrypted secret handling, and streamlined client integrations.

Pricing and Plans

MCPCore offers simple, transparent tiered pricing billed monthly or annually (with savings on annual plans). All plans include the AI Tool Builder and a 99.9% Uptime SLA. The Free plan is for exploration, offering 3 MCP Servers, 100K tool calls/month, basic analytics, and community support. The Basic plan at $9.99/month provides 10 servers, 1M tool calls/month, and email support. The Pro plan at $29.99/month scales to 30 servers, 10M tool calls/month, advanced analytics, and priority support. Enterprise offers custom pricing with unlimited servers and tool calls, advanced analytics, dedicated support, and options for Docker/self-hosting with full data sovereignty. Plan changes take effect immediately.