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mcp.run

Hosted MCP server platform

Platform for running MCP servers securely in WebAssembly sandboxes. One-click install for Claude Desktop, VS Code, and other MCP-compatible clients with no Docker required. Simplifies MCP server deployment and management by handling isolation, security, and distribution, making it easy to extend AI assistants with custom tools without infrastructure overhead.

About mcp.run

MCP.run is a registry and runtime platform for hosting and executing MCP (Model Context Protocol) tools using WebAssembly-based isolation, built by Dylibso to provide secure, portable, and universal tool execution for AI applications. It solves the challenge of safely running third-party MCP servers by executing tools as WebAssembly modules (called servlets) in a sandboxed environment, eliminating the need for heavy containers or virtual machines while providing strong security isolation. MCP.run enables anyone to publish, discover, and execute MCP tools that work across any platform, operating system, processor, or device.

MCP.run differentiates itself with its WebAssembly-first architecture where all servlets are compiled to Wasm modules, ensuring portability and security through strict sandboxing. The platform requires developers to explicitly declare domain allowlists, environment variable access, and file system paths ahead of time, preventing unauthorized network access or data exfiltration. MCP.run provides client connectors including mcpx for native integration, mcpx4j for Java and Android support, and web-based interfaces for browsing and testing available tools. The registry allows anyone to publish servlets with transparent security policies that users can review before execution.

MCP.run is designed for AI developers, platform teams, and organizations that need to integrate third-party MCP tools into their AI applications with production-grade security and minimal operational overhead. It integrates with any MCP-compatible AI client including Claude, ChatGPT, Cursor, and custom agent frameworks, providing a centralized hub for discovering and executing tools without managing individual server deployments. The platform is particularly valuable for enterprise environments where security policies require strict control over what external tools can access, offering auditable, sandboxed execution that meets compliance requirements while maintaining the flexibility of the MCP ecosystem.

Pricing & Platform Specs

Pricing Summary

Freemium serverless hosting and execution platform for Model Context Protocol (MCP) WebAssembly (Wasm) servlets. Free tier ($0/mo) allows deploying and running personal MCP servlets with standard execution limits. Pro tier ($10/mo) provides private servlet repositories, higher concurrency, secret management, and custom domain endpoints. Enterprise tier offers custom pricing with dedicated tenancy, VPC peering, enterprise RBAC, and custom SLAs.

full pricing breakdown →

Supported Platforms

Web, CLI

Explore categories, tags & use cases

Categories

MCP server registry and hosting

Registry and management platform for Model Context Protocol (MCP) servers that helps teams securely discover, install, deploy, and connect MCP servers for AI assistants. Smithery combines a searchable catalog, CLI setup, hosted deployments, namespaces, connection APIs, and scoped service-token flows for clients such as Claude, Cursor, Windsurf, and Codex.

Open Source

MCP server directory and gateway

AI gateway and model management platform that provides a unified API for accessing multiple LLM providers (OpenAI, Anthropic, Google, Mistral, and more) through a single endpoint. Features model routing, cost tracking, usage analytics, rate limiting, and API key management across providers. Simplifies multi-provider AI integration by handling authentication, billing, and failover in one place. Useful for teams evaluating multiple models or building provider-agnostic AI applications.

freemium

Tool infrastructure for AI agents

Composio connects AI agents to 1,000+ app toolkits with managed auth, delegated user connections, sessions, tool search, MCP gateway support, CLI workflows, and sandboxed workbench execution. It targets developers building Claude, Codex, Cursor, LangChain, CrewAI, OpenAI Agents SDK, and custom agent workflows that need authenticated business actions without hand-rolling every API integration.

freemiumOpen Source

Community experience

Sources & verification

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FAQ

What is mcp.run?

Platform for running MCP servers securely in WebAssembly sandboxes. One-click install for Claude Desktop, VS Code, and other MCP-compatible clients with no Docker required. Simplifies MCP server deployment and management by handling isolation, security, and distribution, making it easy to extend AI assistants with custom tools without infrastructure overhead.

Is mcp.run free?

mcp.run offers a free tier alongside paid plans. Freemium serverless hosting and execution platform for Model Context Protocol (MCP) WebAssembly (Wasm) servlets. Free tier ($0/mo) allows deploying and running personal MCP servlets with standard execution limits. Pro tier ($10/mo) provides private servlet repositories, higher concurrency, secret management, and custom domain endpoints. Enterprise tier offers custom pricing with dedicated tenancy, VPC peering, enterprise RBAC, and custom SLAs.

Is mcp.run open source?

Yes — mcp.run is open source.

Is mcp.run still maintained?

Yes — mcp.run is active. Its listing was last verified on September 6, 2026.

What are the best mcp.run alternatives?

The first editor-selected mcp.run alternatives are Smithery, Glama, Composio.