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MCAI Knowledge Base MCP Server

by meta-consciousness-ai Your server? Claim it
local only

MCAI Knowledge Base runs on your own machine — the client starts it, so there is no endpoint to ping. 2 715 installs a week from pypi. Last commit 1 Nov 2026.

Meta-Consciousness Theory knowledge base: definitions, relations and citations for AI agents.

Installs per day peak 1 033 · avg 90
a month agotoday
2 715
Installs / week
pypi · mcai-knowledge
0
Stars
0 open issues
1 Nov 2026
Last commit
from GitHub
MIT
License
Python

What the code does

We read the source, 20 h ago · rules 995398eba69f

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

Runs an external command mcai/autopilot.py:100
            subprocess.Popen(
Sends data to a third-party sink tools/probe_tunnel.py:2, tools/verify_tunnel.py:2
base = "https://chubby-teams-graham-diagnostic.trycloudflare.com"

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

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 mcai-knowledge -- uvx mcai-knowledge
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "mcai-knowledge": {
      "command": "uvx",
      "args": [
        "mcai-knowledge"
      ]
    }
  }
}
~/.codex/config.toml
[mcp_servers.mcai-knowledge]
command = "uvx"
args = ["mcai-knowledge"]
.cursor/mcp.json
{
  "mcpServers": {
    "mcai-knowledge": {
      "command": "uvx",
      "args": [
        "mcai-knowledge"
      ]
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "mcai-knowledge": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "mcai-knowledge"
      ]
    }
  }
}

Optional settings from the registry entry, left out of the block above: MCAI_HOME (Optional project directory containing data/kb.json; the bundled knowledge base is used when unset).

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MCAI Knowledge Base — questions

Answers built from our own checks of this server.

Why is there no uptime for MCAI Knowledge Base?
MCAI Knowledge Base 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 mcai-knowledge was installed 2 715 times last week.
How do I connect MCAI Knowledge Base?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It runs locally, so the command pulls mcai-knowledge straight from pypi; nothing to host, nothing to sign up for.
How many people use MCAI Knowledge Base?
The pypi package mcai-knowledge was installed 2 715 times in the last week. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is MCAI Knowledge Base open source?
Yes — it is published under the MIT licence, written in Python and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.