MCPBundles

What is MCPBundles?

MCPBundles is a platform for using MCP (Model Context Protocol) servers. It provides an in-browser Studio for testing tool execution, inspecting schemas, and debugging failures before connecting to external hosts via streamable HTTP MCP URLs. It also offers a CLI for terminal discovery and scripting. MCPBundles is for developers and teams who want to validate and deploy MCP servers into AI assistants, IDEs, and chat applications.

How to use MCPBundles?

1. Enable the bundles you need and connect accounts (see getting started guide).
2. Open Studio from a bundle to run tools with live data.
3. When satisfied, add your MCP URL in the host you use every day (see integration guides for Cursor, Claude Desktop, ChatGPT, VS Code, Windsurf).
4. Optionally use execution modes (Hub vs bundle) to control surface area exposed to the model.
5. Optionally use the mcpbundles CLI for terminal discovery and scripting.

Key features of MCPBundles

• Interactive Studio for testing tools and debugging failures
• Validate credentials and confirm provider wiring
• Streamable HTTP MCP URLs for connecting to external hosts
• Integration guides for Cursor, Claude, ChatGPT, VS Code, Windsurf
• MCP Apps: dashboards, charts, and interactive UI within AI conversations
• CLI for terminal discovery and scripting

Use cases of MCPBundles

• Test MCP server tools with live credentials before any agent uses them
• Debug tool schemas and responses in an isolated browser environment
• Deploy MCP servers to multiple AI hosts using a single bundle URL
• Build and share interactive MCP Apps (charts, dashboards) inside AI chats

FAQ from MCPBundles

Is MCPBundles only a dashboard?

No — the differentiator is Studio, which lets you execute and debug tools before agents rely on them.

Is MCPBundles the same app as Cursor or Claude?

No. You configure access and test tools in MCPBundles, then paste your Hub or bundle URL into each host (see integration guides above).

How do I validate credentials?

See the credential validation guide and run tools in Studio to confirm they work with live data.