Plori

by plori-ai

289 downloads

Not rated

GitHub

About

Give your AI agent its own cloud computer. Create and drive hosted plori agents over remote MCP: invoke agents and read replies, human-in-the-loop queue, scheduled runs.

Details

Author: plori-ai
Downloads: 289
Categories: Developer Tools, Other, AI, Remote MCP

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Plori

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "plori": {
            "plori": {
                "type": "streamableHttp",
                "url": "https://api.plori.ai/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "plori": {
            "plori": {
                "type": "streamableHttp",
                "url": "https://api.plori.ai/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "plori": {
            "plori": {
                "type": "streamableHttp",
                "url": "https://api.plori.ai/mcp"
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "plori": {
            "plori": {
                "type": "streamableHttp",
                "url": "https://api.plori.ai/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "plori": {
            "plori": {
                "type": "streamableHttp",
                "url": "https://api.plori.ai/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "plori": {
            "plori": {
                "type": "streamableHttp",
                "url": "https://api.plori.ai/mcp"
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "plori": {
            "plori": {
                "type": "streamableHttp",
                "url": "https://api.plori.ai/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "plori": {
            "plori": {
                "type": "streamableHttp",
                "url": "https://api.plori.ai/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "plori": {
            "plori": {
                "type": "streamableHttp",
                "url": "https://api.plori.ai/mcp"
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "plori": {
            "plori": {
                "type": "streamableHttp",
                "url": "https://api.plori.ai/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "plori": {
            "plori": {
                "type": "streamableHttp",
                "url": "https://api.plori.ai/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "plori": {
            "plori": {
                "type": "streamableHttp",
                "url": "https://api.plori.ai/mcp"
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "plori": {
            "plori": {
                "type": "streamableHttp",
                "url": "https://api.plori.ai/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "plori": {
            "plori": {
                "type": "streamableHttp",
                "url": "https://api.plori.ai/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "plori": {
            "plori": {
                "type": "streamableHttp",
                "url": "https://api.plori.ai/mcp"
            }
        }
    }
}

From the repository

Connect your MCP client to the server URL https://api.plori.ai/mcp using Streamable HTTP transport. The README does not provide detailed installation or configuration instructions beyond the endpoint and transport type.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "plori": {
            "plori": {
                "type": "streamableHttp",
                "url": "https://api.plori.ai/mcp"
            }
        }
    }
}

McpServers

{
    "plori": {
        "type": "streamableHttp",
        "url": "https://api.plori.ai/mcp"
    }
}

- Manage agents— Ask tolist_agents, inspect agent details, create or delete agents, and select the model an agent runs on.
- Run and monitor agents— Invoke an agent viarun_agent, list or fetch past run results, and cancel in-flight runs.
- Handle approvals— List an agent's pending questions withlist_pending_questionsand answer them to keep work moving.
- Schedule deferred work— Use the scheduling tools to queue a run so an agent executes later while you're away.
- Build and run workflows—list_workflows,create_workflow,edit_workflow, andrun_workflowto define, refine, and execute multi-step agent workflows.
- Check account status— Queryget_credits,get_usage,get_disk, andlist_connectionsto review balances and connected OAuth providers.

plori (plori.ai): a cloud AI agent with its own persistent environment - durable disk, real CLI tools, and memory.

ploriprovides the agent: each one gets a persistent machine with a real disk, real tools, and memory of its own. 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 athttps://api.plori.ai/mcp.

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

Use the one-click Add to Cursorbutton, or add manually:Settings -> MCP -> Add serverwith URLhttps://api.plori.ai/mcp.

code --add-mcp '{"name":"plori","type":"http","url":"https://api.plori.ai/mcp"}'

codex mcp add plori --url https://api.plori.ai/mcp codex mcp login plori

Codex auto-detects plori's OAuth onlogin. One-install alternative with the skill bundled:codex plugin marketplace add plori-ai/codex-pluginthencodex plugin add plori@plori.

Follow llms-install.md, written for Cline's automated installer.

Native streamable-HTTP clients connect tohttps://api.plori.ai/mcpdirectly. Clients that only speak stdio can bridge with the plori-mcpnpm package(a thin wrapper aroundmcp-remotewith 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 -> Settingson a registered account.

The plori CLIis 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.

curl -fsSL https://plori.ai/install.sh | sh plori login && plori attach <agent-name>

The installer drops one static binary in~/.local/binand needs no Node; if that directory is not on your PATH yet, the script prints the line to add.npm i -g @plori/cliworks too. The argument toattachis 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-Ddetaches and leaves the run going on the server.

The terminal does not give the agent access to your local files. The shell, the disk, and the files are the agent's own cloud environment.

List my plori agents and tell me how many credits I have left.

You should seelist_agentsandget_creditstool calls and a real answer.

The server exposes 24 tools in five 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, or cancel an in-flight run.
- 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.
- Workflows: list every workflow or filter by holding agent / the unassigned bucket (list_workflowswith optionalagent_idUUID or"none"), read one with the step projection pinned for execution (get_workflow) or read an exact version's full definition (get_workflow_version), edit a draft under compare-and-swap (edit_workflow), create one for an agent to build (create_workflow, with optionalagent_id), run a built workflow now as a real, billed execution (run_workflow), and read recent execution history (list_workflow_executions) or poll one execution's status, timing, credits, and per-step input/output payloads (get_workflow_execution).

Account reads round out the set:get_credits,get_usage,get_disk, andlist_connections— your third-party OAuth providers with status, authorization and expiry times, and the scopes configured for each. Tokens and client secrets are never returned.

Costs: creating and running agents spends plori credits from your account. Reading (lists, results, balances) is free. The pricing pagehas the details; revoke a client's access any time in your client's settings, or revoke the API key in Dashboard -> Settings.

- 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 onapi.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.mdto the path or sendAccept: text/markdown.

- Connect guide(per-client, kept current)
- Docs
- Privacyand terms
- Questions:agent@plori.ai

This is a web browser that enables your coding agent, such as Claude Code, to visit websites on your behalf and assist you in identifying bugs or creating UI test cases.

Create crafted UI components inspired by the best 21st.dev design engineers.

Bring agent evaluations, observability, and synthetic test set generation directly into your IDE for free with Galileo's new MCP server

An MCP server to help AI assistants to answer questions and generate AccelByte Extend SDK code more effectively .

MCP server for AI Diagram Maker — generate beautiful software engineering diagrams directly inside Cursor, Claude Desktop, Claude Code, or any MCP-compatible AI agent

ALAPI MCP Tools,Call hundreds of API interfaces via MCP

AI-powered SVG animation generator that transforms static files into animated SVG components using the Allyson platform

MCP server that gives AI assistants on-demand access to 1,500+ amCharts docs, ~300 code examples, and 1000+ class API references.

APIMatic MCP Server is used to validate OpenAPI specifications using APIMatic. The server processes OpenAPI files and returns validation summaries by leveraging APIMatic’s API.

One shared context layer for AI agents and humans — live API specs, DB schemas, and versioned contracts across repos so every agent and teammate works from the same source of truth.

Build and deploy full-stack Next.js apps with 98 tools for React, AWS, and MongoDB

No reviews yet — be the first

Use Google, GitHub, or an email account so ratings stay tied to real people.

Email sign in

No reviews posted yet.

Plori

About

Details

Jump to

Setting up with Highlight

Setting up with Cursor

JSON

JSON

JSON

Setting up with Claude Desktop

JSON

JSON

JSON

Setting up with Windsurf

JSON

JSON

JSON

Setting up with Cline

JSON

JSON

JSON

Setting up with Goose

JSON

JSON

JSON

From the repository

Claude Desktop / Cursor

McpServers

Install

About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

Install

More like this

Sequential Thinking

Sentry

Github

Filesystem

EverArt

Google Drive