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contextkeeper MCP Server

local only

contextkeeper runs on your own machine — the client starts it, so there is no endpoint to ping. 74 installs a week from pypi. Last commit 14 Apr 2026.

Zero model drift between AI agents. Session continuity for Claude, GPT, Gemini, and any LLM.

Installs per day peak 119 · avg 21 · +32% w/w
a month agotoday
74
Installs / week
pypi · contextkeeper
0
Stars
0 open issues
14 Apr 2026
Last commit
from GitHub
MIT
License
Python

What the code does

We read the source, 7 d 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 packages/python/contextkeeper/api.py:46
    result = subprocess.run(args, capture_output=True, text=True)
In the project's build, not in the package

Found in continuous integration, deployment or infrastructure files, or in a neighbouring package of the same monorepo. None of this is installed when you add the server: it describes how the project is built and released. We list it because a leaked key in a build pipeline is still a real problem, but it is not something this server does on your machine.

Runs an external command packages/npm/lib/doctor.js:19
    return execSync(cmd, { encoding: 'utf8', stdio: ['pipe', 'pipe', 'pipe'] }).trim()

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

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contextkeeper — questions

Answers built from our own checks of this server.

Why is there no uptime for contextkeeper?
contextkeeper 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 contextkeeper was installed 74 times last week.
How do I connect contextkeeper?
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 contextkeeper straight from pypi; nothing to host, nothing to sign up for.
How many people use contextkeeper?
The pypi package contextkeeper was installed 74 times in the last week. Week over week that is +32%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is contextkeeper 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.