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Graphlens MCP Server

local only

Graphlens MCP runs on your own machine — the client starts it, so there is no endpoint to ping. 134 installs a week from pypi. Last commit 3 Jul 2026.

Semantic code graph MCP server for coding agents

Installs per day peak 74 · avg 23 · +5% w/w
a month agotoday
134
Installs / week
pypi · graphlens-mcp
2
Stars
0 open issues
3 Jul 2026
Last commit
from GitHub
MIT
License
Jupyter Notebook

Nothing serious here today

Today is the operative word: we check Graphlens MCP 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 graphlens-mcp -- uvx graphlens-mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "graphlens-mcp": {
      "command": "uvx",
      "args": [
        "graphlens-mcp"
      ]
    }
  }
}
~/.codex/config.toml
[mcp_servers.graphlens-mcp]
command = "uvx"
args = ["graphlens-mcp"]
.cursor/mcp.json
{
  "mcpServers": {
    "graphlens-mcp": {
      "command": "uvx",
      "args": [
        "graphlens-mcp"
      ]
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "graphlens-mcp": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "graphlens-mcp"
      ]
    }
  }
}

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Graphlens MCP — questions

Answers built from our own checks of this server.

Why is there no uptime for Graphlens MCP?
Graphlens MCP 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 graphlens-mcp was installed 134 times last week.
How do I connect Graphlens MCP?
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 graphlens-mcp straight from pypi; nothing to host, nothing to sign up for.
How many people use Graphlens MCP?
The pypi package graphlens-mcp was installed 134 times in the last week. Week over week that is +5%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Graphlens MCP open source?
Yes — it is published under the MIT licence, written in Jupyter Notebook and 2 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.