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官方说明7 个来源MCP 服务8 天前
plori-ai/plori

plori-ai/plori

Create and drive hosted plori agents with persisten
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add plori -- npx -y plori
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
0 ★ · plori-ai/plori · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 plori-ai/plori;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

plori

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

**Plori runs AI agents in Workspaces.**
Plori runs AI agents in cloud Workspaces. Several agents can work on
one project at once, each on its own copy of the files, and Plori merges their changes
back into the Workspace. Only the Workspace files persist between runs. You talk to your
agents in the web app, or drive them from your own tools over MCP and REST.
This repository is the integration front door. The product itself lives at
plori.ai; the remote MCP server lives at https://api.plori.ai/mcp.
Connect your MCP client
plori is a **remote** MCP server (streamable HTTP). There is nothing to install or run
locally. Sign-in happens in your browser via OAuth 2.1 the first time your client
connects; headless environments can use an API key instead.
**Claude Code**
Paste this into your Claude Code conversation:
> Set up https://plori.ai/SKILL.md
Claude reads the setup instructions and configures MCP if needed. If the new server
has not loaded, type /reload-plugins when Claude asks, then continue in the same
conversation. With pairing, open the short address Claude shows, enter the code,
sign in, and approve. You can use a phone while Claude Code runs on a remote machine.
No installed skill or plugin is required.
**Cursor**
Use the one-click Add to Cursor button, or add manually:
Settings -> MCP -> Add server with URL https://api.plori.ai/mcp.
**VS Code**
**Codex CLI**
Codex auto-detects plori's OAuth on login. One-install alternative with the skill
bundled: codex plugin marketplace add plori-ai/codex-plugin then codex plugin add
plori@plori.
**Cline**
Follow llms-install.md, written for Cline's automated installer.
**Any other client**
Native streamable-HTTP clients connect to https://api.plori.ai/mcp directly. Clients
that only speak stdio can bridge with the plori-mcp npm package
(a thin wrapper around mcp-remote with the endpoint pinned; this repository is its source):
API keys are minted in Dashboard -> Settings on
a registered account.
Or skip MCP: your own terminal
The plori CLI is not an MCP client. It is a
door of its own, and it opens the same live session the web app shows: the recent
history, a prompt, streaming output, and the approval queue in one place. A turn you
send in the terminal appears in an open browser tab as it streams.
The installer drops one static binary in ~/.local/bin and needs no Node; if that
directory is not on your PATH yet, the script prints the line to add. npm i -g
@plori/cli works too. The argument to attach is an agent name, an agent id, or a
session id, so a session id copied out of the web app works on its own. Ctrl-D
detaches and leaves the run going on the server.
The terminal does not give the agent access to your local files. The shell and the
Workspace files are in Plori's cloud.
Verify the connection
Ask your client:
> List my plori Workspaces and tell me how many credits I have left.
You should see list_workspaces and get_credits tool calls and a real answer.
What the tools do
The server exposes 23 tools in five groups. A Workspace holds durable files with
saved revisions, a main conversation, and run history. An agent runs in a Workspace
with a shell and the Workspace files under /workspace.
- **Workspaces and account**: list_workspaces (the Workspaces you own, with state,
default agent, current revision, and storage_readiness while storage starts),
来源
awesome · https://github.com/plori-ai/plori
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