plori
Give your AI agent its own cloud computer.
plori hosts agents: each one gets a persistent machine with a real disk, real tools, and memory that survives between conversations. Idle agents scale to zero. 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
claude mcp add --transport http plori https://api.plori.ai/mcp
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
code --add-mcp '{"name":"plori","type":"http","url":"https://api.plori.ai/mcp"}'
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):
npx plori-mcp
# headless / CI: authenticate with an API key instead of the OAuth flow
npx plori-mcp --header "Authorization: Bearer plori_sk_..."
# equivalent, without the wrapper:
npx mcp-remote https://api.plori.ai/mcp
API keys are minted in Dashboard -> Settings on a registered account.
Verify the connection
Ask your client:
List my plori agents and tell me how many credits I have left.
You should see list_agents and get_credits tool calls and a real answer.
What the tools do
The server exposes 15 tools in four groups:
- Agents: list, inspect, create, and delete agents; pick the model an agent runs.
- Runs: invoke an agent and read its reply (blocking or fire-and-forget), list runs, fetch a past result.
- Human-in-the-loop: list an agent's pending questions and answer them.
- Scheduling: schedule a deferred run so an agent works while you are away.
Costs: creating and running agents spends plori credits from your account. Reading (lists, results, balances) is free. The pricing page has the details; revoke a client's access any time in your client's settings, or revoke the API key in Dashboard -> Settings.
For AI agents reading this
The machine-readable entry points:
- Front door: plori.ai/agents.md
- Site index: plori.ai/llms.txt
- Skill: SKILL.md
(index:
/.well-known/agent-skills/index.json) - MCP server card:
https://api.plori.ai/mcp/server-card - OAuth discovery: RFC 9728 protected-resource metadata on
api.plori.ai, dynamic client registration supported - Registry entry:
ai.plori/ploriin the official MCP Registry
Every page on plori.ai is also served as Markdown: append .md to the path or send
Accept: text/markdown.
Docs and support
- Connect guide (per-client, kept current)
- Docs
- Privacy and terms
- Questions: dev@plori.ai