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Deploy MCP servers over HTTP for AI-accessible text, math, and content tools.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Stream MCP" yet — see the docs or source repo.
Guide me to deploy an MCP server over HTTP, including base configuration, startup commands, endpoint exposure, and steps to connect it to Claude or GitHub Copilot.
An actionable deployment guide with sample config, run commands, and AI assistant connection steps.
Help me design a set of tools for Stream MCP that AI assistants can call directly, including text cleaning, summarization, and math calculation, with input and output formats for each.
A clear tool definition list describing purpose, parameter structure, and response formats.
Using Stream MCP, design a social media content generation workflow that AI assistants can call to produce headlines, body copy, and platform-specific rewrites from a topic input.
A content generation workflow plan with processing steps, tool-calling logic, and example output structure.
Production-ready MCP server for query normalization, retrieval, and RAG prompt building.
Build, debug, and manage software tasks with natural language across LLMs.
Use zero-config MCP servers for web search and AI-driven Hexo blog management.
Turn existing APIs and databases into MCP tools for direct AI use.
Call tools like weather lookup via MCP with reusable resources and prompts.
Connect to the mcp API via MCP to extend AI tool capabilities.