"Golang HTTP streaming with MCP examples" matching MCP servers:

Demonstrates how to create a simple MCP server with streamable HTTP transport, featuring tools, prompts, and resources.

Provides reference implementations of MCP servers using FastAPI and FastMCP, including calculator and RSS/Atom feed parser tools.

A demonstration project that implements a Model Context Protocol (MCP) server with example tools for calendar, task management, and weather functionality in a Docker container.

Provides a generic HTTP client tool allowing AI agents to make arbitrary HTTP requests from their environment, with support for environment-variable placeholders for secrets.

Enables AI harnesses to maintain a persistent memory layer backed by a local SQLite file, providing MCP tools to add, search, deprecate, and synchronize facts without deleting history.

Educational MCP server demonstrating the 2026-07-28 stateless protocol with raw Starlette, no SDK, featuring tools, request state handles, MRTR elicitation, and subscriptions.

HTTP Inspector MCP Server enables sending arbitrary HTTP requests, viewing history via a web panel, and taking screenshots of the panel for AI penetration testing workflows.

A collection of Model Context Protocol implementations ranging from a minimal hello-world to an autonomous AI agent for software development.

Provides real-time screen capture streaming in base64 format via WebSocket connections, enabling Claude to view and analyze user screens through natural language requests.

Enables incremental model scoring over an append-only event log, with a tamper-evident, hash-chained audit trail so every decision can be reviewed and independently re-verified.

An MCP server that provides HTTP client capabilities with support for full HTTP methods, custom headers, query parameters, request bodies, and configurable timeouts.

This server bridges a stdio MCP server to HTTP, allowing MCP clients that communicate over HTTP to use the server's tools. It includes a per-tool allow/deny filter for security.

Provides a standardized MCP interface for interacting with HTTP tools and services, enabling unified API access and management.

Provides HTTP client capabilities to AI agents with 9 tools for REST API testing, including GET, POST, PUT, PATCH, DELETE, batch requests, and URL health checks, using pure Python stdlib.

Enables 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.

Enables assistants to retrieve the current time and convert times between time zones through callable MCP tools over streamable HTTP.

Enables users to interact with their own Telegram account through MTProto, supporting chat listing, message reading and searching, sending messages, and fetching contacts via MCP tools.

Enables MCP clients to connect to a streamable HTTP server with multiple tools, secured by API key authentication, rate limiting, and health checks via an nginx gateway for Docker-based deployment.

Streams real-time log context from Amazon MSK to a Bedrock AI agent for anomaly detection and root cause analysis. Enables AI-powered monitoring with WebSocket push and IAM authorization.

A 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.