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Parley MCP Server

local only

Parley runs on your own machine — the client starts it, so there is no endpoint to ping. 70 installs a week from pypi. Last commit 15 Oct 2026.

Multi-party decisions for agents: red lines rejected in code, max-min pick, SHA-256 receipt. Stdlib.

Installs per day peak 384 · avg 22 · -27% w/w
a month agotoday
70
Installs / week
pypi · parley-consensus
1
Stars
6 open issues
15 Oct 2026
Last commit
from GitHub
Apache-2.0
License
Python

Nothing serious here today

Today is the operative word: we check Parley every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add parley -- uvx parley-consensus
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "parley": {
      "args": [
        "parley-consensus"
      ],
      "command": "uvx"
    }
  }
}
~/.codex/config.toml
[mcp_servers.parley]
command = "uvx"
args = ["parley-consensus"]
.cursor/mcp.json
{
  "mcpServers": {
    "parley": {
      "args": [
        "parley-consensus"
      ],
      "command": "uvx"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "parley": {
      "args": [
        "parley-consensus"
      ],
      "command": "uvx"
    }
  }
}

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Parley — questions

Answers built from our own checks of this server.

Why is there no uptime for Parley?
Parley runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package parley-consensus was installed 70 times last week.
How do I connect Parley?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It runs locally, so the command pulls parley-consensus straight from pypi; nothing to host, nothing to sign up for.
How many people use Parley?
The pypi package parley-consensus was installed 70 times in the last week. Week over week that is -27%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Parley open source?
Yes — it is published under the Apache-2.0 licence, written in Python, 1 stars on GitHub and 6 open issues. The source link is on this page, so you can read exactly what it does with your data before you connect it.