mcpbeat Sign in

karst MCP Server

local only

karst runs on your own machine — the client starts it, so there is no endpoint to ping. 142 installs a week from pypi. Last commit 14 Oct 2026.

Code context for AI dev tools: pack-scoped, cited code retrieval over MCP.

Installs per day peak 288 · avg 43 · +8% w/w
a month agotoday
142
Installs / week
pypi · karst
1
Stars
0 open issues
14 Oct 2026
Last commit
from GitHub
Apache-2.0
License
Python

What the code does

We read the source, 3 d ago · rules 995398eba69f

A tool parameter reaches a dangerous call

A value the model can set ends up inside a file or shell call. That is not a flaw by itself — for a terminal server it is the job — but it is where things go wrong when it is not.

A tool parameter reaches a dangerous call search_code.repo_path → karst/graph_cli.py:191, search_code.repo_path → karst/review_cli.py:175, search_code.repo_path → karst/graph_cli.py:256
    proc = subprocess.run(
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.

Builds a file path from a variable contrib/claude-code/karst_impact_gate.py:255
            path = os.path.join(entry, candidate)

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

A tool parameter here reaches a dangerous call

That is not a flaw by itself — but it is where things go wrong when it is not the job. We re-read this code on every release. Watch it and you hear from us the day another one appears.

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

Alternatives to karst

same job, measured the same way
Code Context Gate
by wisdomrock

Context-aware code retrieval MCP server — ranked, gated results for AI coding agents

45 installs/wk local only
ContextStream MCP Server
by contextstreamio

ContextStream MCP server for code context, memory, search, and AI tools.

3 749 installs/wk local only
Skeletongraph
by yashdoke7

Zero-LLM structural code retrieval for AI coding agents, served over MCP.

102 installs/wk local only
Cgraphy
by pmgarg

Code knowledge graph over MCP: token-budgeted context for AI coding agents.

62 installs/wk local only
Token Context MCP
by mck564

On-demand, local code-context MCP server for AI coding agents with Tree-sitter AST.

609 installs/wk local only
Silica Core
by kiycoh

Retrieval over the folder the session opened: files, search, read, code_pack, write_note.

244 installs/wk local only
Slimdex MCP
by siddhukaushik

Narrow code retrieval for agents: outlines, symbol context, dep graph, persistent memory.

53 installs/wk local only
LeanToken
by morluto

Token-bounded repository context for coding agents over MCP.

local only

karst — questions

Answers built from our own checks of this server.

Why is there no uptime for karst?
karst 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 karst was installed 142 times last week.
How do I connect karst?
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 karst straight from pypi; nothing to host, nothing to sign up for.
How many people use karst?
The pypi package karst was installed 142 times in the last week. Week over week that is +8%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is karst open source?
Yes — it is published under the Apache-2.0 licence, written in Python and 1 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.