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maintenanceA starter template for building MCP servers in Python using the streamable HTTP transport protocol. Provides a foundation with the MCP Python SDK and example configuration to quickly develop custom MCP servers.
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"Python runner with streamable HTTP support" matching MCP servers:
- Flicense-qualityCmaintenanceDemonstrates how to create a simple MCP server with streamable HTTP transport, featuring tools, prompts, and resources.4
- Flicense-qualityDmaintenanceA step-by-step guide and complete working example for building and running an MCP server with streamable HTTP transport using Python, mcp, and FastAPI, enabling AI assistants to access tools over HTTP.31
- Flicense-qualityDmaintenanceA Python-based MCP server that exposes tools over streamable HTTP using FastAPI, enabling connection to AI assistants like Cursor. Supports multiple servers mounted in a single FastAPI app.
- Alicense-qualityDmaintenanceA minimal Model Context Protocol server that facilitates network-based client connections using Streamable HTTP transport. It provides a greeting tool and is optimized for consistent deployment across local environments, Docker, and Kubernetes.MIT
- Alicense-qualityCmaintenanceA bridge server that converts stdio protocol to streamable-http protocol, allowing clients to interact with MCP services over HTTP.2Mulan Permissive Software , Version 2
- Flicense-quality-maintenanceProvides basic arithmetic calculation tools through an HTTP-accessible MCP server. Supports mathematical operations like addition with streamable responses for integration with MCP clients.
- Flicense-qualityDmaintenanceEnables exposing MCP tools over HTTP using Python and FastAPI, allowing AI assistants like Cursor to connect and use tools like web search, echo, and math operations.
- Flicense-qualityDmaintenanceDemonstrates building an MCP server with Python, exposing tools like web search (Tavily) and basic utilities over streamable HTTP for AI assistants like Cursor.
- Flicense-qualityBmaintenanceBridges stdio Model Context Protocol (MCP) servers to MCP Streamable HTTP behind a single gateway, enabling multi-tenant, multi-user deployment with per-tenant environment variables via HTTP headers.
- Flicense-qualityCmaintenanceTransforms stdio-based task tools into a stateful Streamable HTTP MCP server, enabling multiple clients to manage tasks via URL with session isolation and security checks.
- Flicense-qualityCmaintenanceA minimal MCP server running in a container that connects to GitHub Copilot over stateless, JSON-only Streamable HTTP, exposing echo and server_info tools.
- FlicenseAqualityDmaintenanceExecute Python code via subprocess with timeout and error handling, returning stdout, stderr, and exit code.11
- Flicense-qualityCmaintenanceExecutes Python code in isolated subprocesses with resource limits and timeout, designed for safe execution in Docker containers.
- Flicense-quality-maintenanceEnables remote server control via SSH through Claude, supporting command execution, file transfers, and multi-server management with both standard and streamable HTTP protocols.
- Flicense-qualityDmaintenanceA simple MCP server implementation that demonstrates streaming capabilities with tools for greetings and notifications, accessible through an interactive command-line client.1
- Alicense-qualityCmaintenanceEnables AI assistants to execute Python functions and system commands via Streamable HTTP, including bash, Python code execution, file operations, and text searching.2,504MIT
- Alicense-qualityBmaintenanceExposes LLM Wiki desktop capabilities via Streamable HTTP transport for MCP clients, enabling project listing, file reading, search, and knowledge graph queries through a secure API.MIT
- Alicense-qualityFmaintenanceBridges STDIO MCP clients to Streamable HTTP MCP servers, allowing any STDIO-supported client to use Streamable HTTP servers immediately.8327MIT
- Flicense-qualityDmaintenanceA TypeScript-based MCP server that implements a simple note-taking system using low-level server components and streamable HTTP. It enables users to create, store, and summarize text notes through a set of tools, resources, and specialized prompts.3