Skip to main content
Glama
jupyter-ai-contrib

Jupyter Server MCP

by jupyter-ai-contrib
OverviewSchemaSourceRelated ServersScoreDiscussionsAdmin
Python
Local

Related Servers

Alternatives to Jupyter Server MCP

No user-submitted related servers found.

    Related Servers

    • jupyter-interactive-mcp

      tsundokum
      A
      license
      Not graded
      quality
      D
      maintenance
      An MCP server that gives any MCP-compatible LLM client full control over a live JupyterLab instance.
      MIT

    • Python MCP Server

      praveenmenon76
      F
      license
      Not graded
      quality
      D
      maintenance
      A modular server for managing and registering tools, enabling extensible functionality through tool registration and configuration.
      -

    • mcp-tool-framework

      tanghui2
      A
      license
      Not graded
      quality
      C
      maintenance
      An MCP server framework enabling standardized tool registration, discovery, and invocation over JSON-RPC 2.0, with support for InProcess, SSE, and WebSocket transports, plus built-in tools such as calculator, text processor, and JSON formatter.
      MIT

    • yourco-mcp

      amitmohapatra
      F
      license
      Not graded
      quality
      B
      maintenance
      Enables developers to build MCP servers with registry-managed tool metadata, runtime hot-reloading, pluggable authentication and authorization, per-audience tool views, and resilient stateless operation.
      -

    • mcp-server

      gwanghun-choi
      F
      license
      Not graded
      quality
      C
      maintenance
      A universal MCP server for registering internal, external, and OpenAPI-based APIs as MCP tools. It exposes them to MCP clients via Streamable HTTP and provides admin portal, RBAC/session auth, credential injection, and audit logging.
      -

    • Simple HTTP MCP Server

      yeison-liscano
      A
      license
      B
      quality
      A
      maintenance
      A lightweight server implementation that exposes Python functions as discoverable tools via HTTP using the Machine-to-Machine Communication Protocol (MCP). Enables remote execution of Python functions through a JSON-RPC interface with async support and type safety.
      4
      MIT