What does MCP Bundler do?
It lets you bundle multiple MCP server setup configurations into one cohesive server, making it easier to share and run them together.
@wrtnlabs
基本情報
Is the MCP configuration too complicated? You can easily share your own simplified setup!
ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
MCP Bundler is a library that lets you bundle an MCP server setup easily by composing multiple MCP servers into a single server configuration. It simplifies sharing MCP settings with others.
Import bundler and RequiredEnv from @wrtnlabs/mcp-bundler, then call bundler() with a config object that includes a name, version, and a list of mcpServers. The resulting server can be run via npx example-mcp for stdio mode, npx example-mcp -p <port> for SSE mode, or used directly with InMemoryTransport for InMemory connections.
RequiredEnv to mark environment variables as mandatory.createServer functions from other MCP packages.It lets you bundle multiple MCP server setup configurations into one cohesive server, making it easier to share and run them together.
Execute the bundled server directly, e.g., `npx example-mcp` in the terminal.
Use the `-p` flag with a port number: `npx example-mcp -p 4506`.
Yes. Use `InMemoryTransport.createLinkedPair()` to connect a client and server locally without network.
It marks environment variables that must be provided by the user when the server starts.

B2B competitive intelligence, live sales battlecards, 5-axis ICP prospect fit scoring, and tech stack teardowns over MCP and REST with cited public-web evidence.
PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct
🚀 The fast, Pythonic way to build MCP servers and clients.
A search tool helps dev to solve the naming things problem.

Model Context Protocol Servers
コメント