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Basic arithmetic tools with natural-language expression parsing and evaluation.
Learning Model Context Protocol 是 ChatHome Skills 收录的 MCP 条目，来源为 Official MCP Registry，质量分 76/100。 作为 Model Context Protocol 服务器，它向 Claude、Cursor、Copilot 等兼容 MCP 的 LLM 客户端暴露可直接调用的工具，让 agent 的能力超出模型内置范围。 该条目由 ChatHome Skills 的每日抓取从官方 registry 和 GitHub 发现查询中收录，每次运行都会重新核验仓库事实、新鲜度信号和安装元数据。 质量分综合了官方 registry 收录情况、可用安装命令、许可证完整性、仓库活跃度和 GitHub star 趋势，完整算法说明见来源页。安装命令已列于上方，可直接复制使用。 在将 Learning Model Context Protocol 加入生产 agent 工作流前，请核对上方的最近更新日期和仓库状态——下方事实快照是最近一次抓取的时点值。
uvx mcp-learning==0.3.0运行此命令前，请先核对上游源码。
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-10-17T18:31:01.184329Z",
"publishedAt": "2026-10-17T18:31:01.184329Z",
"statusChangedAt": "2026-10-17T18:31:01.184329Z"
}
},
"server": {
"name": "io.github.yarnabrina/mcp-learning",
"title": "Learning Model Context Protocol",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.3.0",
"packages": [
{
"version": "0.3.0",
"transport": {
"url": "http://127.0.0.1:8000/mcp",
"type": "streamable-http"
},
"identifier": "mcp-learning",
"runtimeHint": "uvx",
"registryType": "pypi",
"registryBaseUrl": "https://pypi.org",
"packageArguments": [
{
"name": "--host",
"type": "named",
"format": "string",
"default": "127.0.0.1",
"description": "Local bind address for the Streamable HTTP server."
},
{
"name": "--port",
"type": "named",
"format": "number",
"default": "8000",
"description": "Local port for the Streamable HTTP server."
},
{
"name": "--streamable_http_path",
"type": "named",
"format": "string",
"default": "/mcp",
"description": "Endpoint path for the Streamable HTTP server."
}
],
"runtimeArguments": [
{
"name": "--from",
"type": "named",
"value": "mcp-learning",
"format": "string",
"isRequired": true,
"description": "Resolve console scripts from the published PyPI package."
},
{
"type": "positional",
"value": "mcp-server",
"format": "string",
"valueHint": "command",
"isRequired": true,
"description": "Invoke the entry point console script that starts the MCP server."
}
],
"environmentVariables": [
{
"name": "DEBUG",
"format": "boolean",
"default": "false",
"description": "Enable additional debug logging output."
},
{
"name": "RUNTIME_ENVIRONMENT",
"format": "string",
"choices": [
"local",
"production"
],
"default": "local",
"description": "Logging/runtime environment."
},
{
"name": "LOG_LEVEL",
"format": "string",
"choices": [
"DEBUG",
"INFO",
"WARNING",
"ERROR",
"CRITICAL"
],
"default": "INFO",
"description": "Log level for server output; the server defaults to INFO."
},
{
"name": "LOG_FILE",
"format": "filepath",
"description": "Optional path for a server log file."
},
{
"name": "JSON_RESPONSE",
"format": "boolean",
"default": "false",
"description": "Return JSON payloads for HTTP responses instead of newline-delimited JSON."
},
{
"name": "STATELESS_HTTP",
"format": "boolean",
"default": "false",
"description": "Disable HTTP keep-alive to serve each request independently."
}
]
}
],
"repository": {
"id": "1026553889",
"url": "https://github.com/yarnabrina/learn-model-context-protocol",
"source": "github"
},
"websiteUrl": "https://yarnabrina.github.io/learn-model-context-protocol/",
"description": "Basic arithmetic tools with natural-language expression parsing and evaluation."
}
}