A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
0 ★ · plori-ai/plori · read from the repository page · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score
score 703 · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository plori-ai/plori;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
**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),