karst runs on your own machine — the client starts it, so there is no endpoint to ping. 198 installs a week from pypi. Last commit 27 Jul 2026.
Code context for AI dev tools: pack-scoped, cited code retrieval over MCP.
We read the source, 7 d ago · rules 3dff92dd89df
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.
proc = subprocess.run(
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
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.
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.
claude mcp add karst -- uvx karst
{
"mcpServers": {
"karst": {
"args": [
"karst"
],
"command": "uvx"
}
}
}
[mcp_servers.karst]
command = "uvx"
args = ["karst"]
{
"mcpServers": {
"karst": {
"args": [
"karst"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"karst": {
"args": [
"karst"
],
"command": "uvx"
}
}
}
Context-aware code retrieval MCP server — ranked, gated results for AI coding agents
ContextStream MCP server for code context, memory, search, and AI tools.
Zero-LLM structural code retrieval for AI coding agents, served over MCP.
Code knowledge graph over MCP: token-budgeted context for AI coding agents.
The open retrieval layer for AI agents — index code, docs, data. Search via MCP.
Retrieval over the folder the session opened: files, search, read, code_pack, write_note.
Narrow code retrieval for agents: outlines, symbol context, dep graph, persistent memory.
Token-bounded repository context for coding agents over MCP.
Answers built from our own checks of this server.