Use the mcporter CLI to list, configure, auth, and call MCP servers/tools directly (HTTP or stdio), including ad-hoc servers, config edits, and CLI/type generation.
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See how to installReview the instructions the agent will receive before you install.
Use mcporter to work with MCP servers directly.
Quick start
mcporter listmcporter list <server> --schemamcporter call <server.tool> key=valueCall tools
mcporter call linear.list_issues team=ENG limit:5mcporter call "linear.create_issue(title: \"Bug\")"mcporter call https://api.example.com/mcp.fetch url:https://example.commcporter call --stdio "bun run ./server.ts" scrape url=https://example.commcporter call <server.tool> --args '{"limit":5}'Auth + config
mcporter auth <server | url> [--reset]mcporter config list|get|add|remove|import|login|logoutDaemon
mcporter daemon start|status|stop|restartCodegen
mcporter generate-cli --server <name> or --command <url>mcporter inspect-cli <path> [--json]mcporter emit-ts <server> --mode client|typesNotes
./config/mcporter.json (override with --config).--output json for machine-readable results.No reviews yet. Tell others what you thought.
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Track and synthesize current AI hotspots into a bilingual HTML daily report. Use when the user says "AI热点", asks for AI日报/AI日报 HTML/AI hot topics, or wants the best recent AI products, papers, viewpoints, and cognition-shifting items from AI/news aggregators.
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Fetch and extract full text from arxiv paper HTML pages. Invoke when user asks to read an arxiv paper, analyze a paper's content, or when given an arxiv ID/URL.
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使用火山引擎 Ask-Echo 融合信息搜索 API 进行 web 搜索、web 搜索总结版和图片搜索。
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Build or update the BlueBubbles external channel plugin for Clawdbot (extension package, REST send/probe, webhook inbound).
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Build a composable CLI for Codex from API docs, an OpenAPI spec, existing curl examples, an SDK, a web app, an admin tool, or a local script. Use when the user wants Codex to create a command-line tool that can run from any repo, expose composable read/write commands, return stable JSON, manage auth, and pair with a companion skill.
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Optimize code performance through iterative improvements (max 2 rounds). Benchmark execution time and memory usage, compare against baseline implementations, and generate detailed optimization reports. Supports C++, Python, Java, Rust, and other languages.
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