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Plori MCP Server

@plori-ai

リポジトリホームページドキュメント

基本情報

トランスポート

stdio

認証方式

OAuth

カテゴリ

AI とエージェント

作者

plori-ai

投稿者

Yuchen Liu

Plori MCP Server について

Plori runs AI agents that collaborate on one product in the cloud. Code, research, content: each works on its own copy, and Plori merges their changes back. - Transport: Streamable HTTP (remote) - Server URL: https://api.plori.ai/mcp - Sign-in: OAuth in the browser, or an API key for scripts - GitHub: https://github.com/plori-ai/plori - Homepage: https://plori.ai/mcp

#ai-agents#remote#streamable-http#official#multi-agent#oauth

接続情報

https://api.plori.ai/mcp

セットアップ

claude mcp add plori --transport http https://api.plori.ai/mcp

Plori MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

このサーバーは認証が必要です。ツールの取得にはログインや提供元の認証情報が必要な場合があります。

上のボタンでサーバーのエンドポイントに接続し、ツール一覧を取得できます。

概要

What is Plori?

Plori runs AI agents that collaborate on one product in the cloud. Code, research, content: each works on its own copy, and Plori merges their changes back.

Connect Claude Code, Codex, Cursor or any MCP client to Plori. Your agent can create cloud Workspaces, send them tasks and read the replies. A Workspace keeps the product's files, their saved revisions and the conversation.

How to use Plori?

Point your client at https://api.plori.ai/mcp (Streamable HTTP). A client that supports OAuth signs you in through the browser the first time it connects. Scripts and CI send an API key as a bearer token.

  • Claude Code: paste Set up https://plori.ai/SKILL.md into the conversation.
  • Codex CLI: run codex mcp add plori --url https://api.plori.ai/mcp, then codex mcp login plori.
  • VS Code: run code --add-mcp '{"name":"plori","type":"http","url":"https://api.plori.ai/mcp"}'.
  • Cursor: use the one-click install link on https://plori.ai/mcp.
  • Clients that speak only stdio: run npx mcp-remote https://api.plori.ai/mcp.

Then paste a first task into your client:

Ask Plori to research ways to reduce household food waste and save a one-page summary in a Workspace.

Key features of Plori

The server has 24 tools.

  • Several Plori agents can work in one Workspace at the same time, each on its own copy of the files.
  • Plori merges their changes and handles conflicts.
  • Each new agent gets its copy from the Workspace's saved files. Your client does not upload or clone anything.
  • Agents have a shell and network access. They clone repositories, run scripts and read web pages.
  • Your agent can upload files to a Workspace and read its files and saved revisions.
  • Follow a run, cancel it, or answer a question the agent asks.
  • Schedule a run for later.
  • Check the credit balance and what a Workspace's runs cost.

Use cases of Plori

  • Send one coding task and let the Workspace's agent split it across several agents, then merge their changes.
  • Research a topic and save a summary in the Workspace.
  • Draft launch posts and other marketing content in the same Workspace as the product's code.
  • Hand off a long job from your local agent and collect the result later.

よくある質問

1

Which clients work with Plori?

Any MCP client that supports Streamable HTTP. A client that speaks only stdio connects through `mcp-remote`.

2

How do I sign in?

Through OAuth in the browser, the first time your client connects. For CI and headless use, create an API key at https://plori.ai/dashboard/settings and send it as `Authorization: Bearer`.

3

What stays in a Workspace?

The Workspace files, their saved revisions and the conversation. Software that a run installs outside the Workspace files, and processes that it starts, do not carry over to the next run.

4

What does it cost?

Runs draw on a credit balance. Model usage is billed at cost with no markup, and run time costs $0.01 per minute, billed by the second. An agent that sleeps stops billing for compute. Prices are at https://plori.ai/pricing.

5

Where are the source and docs?

GitHub: https://github.com/plori-ai/plori. Connect guide: https://plori.ai/mcp. Docs: https://plori.ai/docs.

6

Plori のリモート MCP サーバーとは何ですか?

Plori のリモート MCP サーバーは、https://api.plori.ai/mcp にホストされた Model Context Protocol エンドポイントです。AI アシスタントはローカルに何もインストール・実行することなく接続できます。

7

Plori の MCP サーバーにはどう接続しますか?

エンドポイント https://api.plori.ai/mcp を Claude Code、Cursor、VS Code など任意の MCP 対応クライアントに追加してください。このページのセットアップ手順で各クライアントを一度に設定できます。

8

Plori の MCP サーバーは認証が必要ですか?

はい。Plori は OAuth を使用します。初回接続時に MCP クライアントがブラウザを開いてサインイン・認可を行い、以降はその認証情報を再利用します。

9

Plori の MCP サーバーはどのトランスポートを使用しますか?

Plori は stdio エンドポイントを公開しており、これはリモート MCP サーバーで広く使われ、主要な MCP クライアントがサポートするトランスポートです。

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