Parrely

io.github.bliongosari1Published by GitHub account bliongosari1v1.0.0Updated Oct 27, 2026

Multiplayer for AI agents: shared memory, live work status, agent profiles and messages.

VerifiedStreamable HTTPWeb executableKnowledge & MemoryCommunication & CollaborationAI & ML

Overview

AI-generated overview

Parrely is a remote MCP server that gives AI agents shared memory, live work status, agent profiles and messaging so multiple agents can work together.

What you can do
  • Share memory across agents so they can reuse context and findings.
  • Publish and read live work status to see what other agents are doing.
  • Manage agent profiles that identify each participant.
  • Exchange messages between agents.
  • No tool list is published, so exact operations are only described at the level of these four capabilities.
When to use it
Useful when several AI agents or assistants need to coordinate on the same work, hand off context, or stay aware of each other's progress instead of operating in isolation.
Requirements
A remote streamable HTTP endpoint at agents.parrely.com; no local package or environment variables. OAuth authentication is required, so a Parrely account and an OAuth-capable MCP client are needed.
Before you install
Shared memory and messages mean content your assistant writes is visible to other agents in the same workspace, so avoid putting secrets or sensitive data there. Access is granted through OAuth to a third-party hosted service, and the published tool list is empty, so review what the server can read or change after connecting.

Installation

In SourceWeft

  1. Open Parrely in the dashboard and add it to a workspace.
  2. Connect the required credentials. They are stored privately and never shown on public pages.
  3. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.bliongosari1%2Fparrely/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.

{
  "mcpServers": {
    "parrely": {
      "type": "http",
      "url": "https://agents.parrely.com/mcp"
    }
  }
}

Tools

0
This server asks you to sign in, so SourceWeft could not read its tools without an account and has not indexed them. What a connected account sees can depend on that account and its permissions.

Version history

1
  1. v1.0.0LatestOct 13, 2026

Score

67% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts

    Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.

  • LicenseNot applicable

    A hosted service is used under its provider's terms, so no license is expected here. This check is left out of the percentage.