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PopNx MCPMCP servers for people who use AI · explained in plain words

Girder

by dhishwasherversion 0.4.0i★ –iRuns on your computer
Registry nameio.github.dhishwasher/girder

Install

Overview

Description from the maker (original English)

Saves AI coding-agent context by giving exact code instead of whole files, from a local graph.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Developer tools

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "girder": {
      "command": "npx",
      "args": [
        "-y",
        "girder-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add girder -- npx -y girder-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "girder": {
      "command": "npx",
      "args": [
        "-y",
        "girder-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "girder": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "girder-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account dhishwasher, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Developer toolsi

  • More stars than 0% of the other 4904 servers in this category
  • Published to the registry more recently than 57% of the other 4904 servers in this category
  • Basic checks equal to or better than 100% of the other 4904 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Girder safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.4.0) reached the registry 31 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

GitHub

by github

GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

Computer or cloud★ 34,245MITUpdated 4 days ago
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Desktop Commander

by wonderwhy-er

MCP server for terminal commands, file operations, and process management

Runs on your computer★ 10,225MITUpdated 16 days ago
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Cloudflare MCP

by cloudflare

Cloudflare MCP servers

Runs in the cloud★ 4,446Apache-2.0Updated 14 months ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Girder

Girder saves AI coding-agent context by giving the agent exactly the code it needs instead of whole files. It builds a local semantic graph of your repository so Claude Code, Codex, Cursor, and other agents can retrieve exact functions, definitions, callers, callees, and task context without filling their context window with irrelevant code. It runs as one static binary, with no account and no cloud dependency.

npx -y girder-mcp setup

That one command detects and configures Claude Code, Codex, and Cursor.

Latest stable release: v0.4.0 (Apache-2.0). Contributions: see CONTRIBUTING.md.

Measured output bytes, not tokens (no tokenizer was run):

  • CLI stdout of girder context ... --json --source-only (MCP get_source) vs reading the whole file: 97.85% fewer bytes, across ten functions sampled by source-size decile (method and honest limits).
  • CLI stdout of girder names ... --json (MCP find_definition) vs plain grep: 97.98% fewer bytes, across ten identifiers (method).
  • orient (one bundled call: source, callers, callees, tests, and impact for one node) vs the equivalent chain of separate calls: 48,814 bytes vs 101,302, using 15 calls vs 78, on a 15-task corpus spanning ten pinned repositories (method).

The two percentages measure CLI output; MCP transport overhead was not measured.

Support Girder

Girder is independently developed to help coding agents consume less code: precise semantic context instead of whole-file reads and repeated repository greps. Sponsorship helps fund context efficiency, semantic graph correctness, agent integrations, reproducible benchmarks, and maintenance. Girder publishes its measurements, including failures and limitations. If Girder saves you context, compute, or development time, sponsor its continued development.

Funding goal: $1,000/month to fund ongoing maintenance, releases, benchmarks, and continued context-efficiency work on Girder. See what sponsorship supports.

Real, captured output (see docs/observations/release-prep/ for exact provenance):

$ girder context demo-project --nodes crate::greeter::shout_greeting --json --source-only

{ "nodes": [{ "language": "python", "path": "crate::greeter::shout_greeting", "source": "def shout_greeting(name):\n return format_greeting(name).upper()" }] }

One function's exact source returned, not the whole file around it — that is the core of what Girder gives an agent's context window.

Languages, stated plainly, not as parity: Rust and Python each have a completed 100-call-site audit across three pinned repositories, with no unsound answers in that sample. Each produced 1 Must and 99 Unknown answers; the precision evidence is limited (measurement). TypeScript is measured and gated but explicitly in progress — it still has a separate, disclosed node-identity collision mechanism (duplicate it()/describe() description strings can silently overwrite each other's graph node; see docs/observations/stage3-typescript-audit/). Go's Stage 3 audit is not complete. See docs/typescript-support.md and docs/go-support.md for the exact, measured limits of each.

Also included, as an additional capability built on the same graph — conservative change-impact and test selection: test-impact names the tests a change may affect, from the same semantic graph, erring toward including a test it can't rule out rather than silently dropping it. Real captured output:

$ girder test-impact . --quiet

test-impact: 82 unresolved call-evidence boundaries found; this selection is the conservative must∪may∪unknown union — pass --classified to see why each test is included test_farewell test_format_greeting test_shout_greeting_delegates_to_format_greeting

See Status for exactly what that selection does and doesn't prove.

Pricing and license: Girder is free and open source under the Apache License 2.0. There is no current paid tier, and no license key or account is required — see License.

Evidence, for a skeptical reader: docs/evidence-index.md points at every committed audit, measurement, and adversarial finding behind the claims above — including the bugs found and fixed along the way, not just a final number.

Install

A prebuilt binary, no Rust toolchain needed:

curl -fsSL https://raw.githubusercontent.com/dhishwasher/Girder/main/install.sh | sh

girder --version

Or from source:

cargo install --path crates/aether-app

girder --help

This builds the default headless profile and installs the girder binary to ~/.cargo/bin (make sure it's on your PATH). No GPU, display, network, or API key is required.

Windows installer

Each Windows release also includes Girder- -setup.exe. It installs for the current user under %LOCALAPPDATA%\Programs\Girder, adds Girder to the user PATH, creates a Start Menu shortcut, and does not request administrator access. Open a new terminal after installation so it sees the updated PATH. The installer includes the desktop GUI, and its Start Menu shortcut opens it. The archives and npm installation continue to provide the headless CLI.

The installer is not code-signed yet, so Windows SmartScreen will warn on first run. After downloading the installer from the GitHub release, double-click it, choose More info on the “Windows protected your PC” dialog, verify that the app is Girder and the publisher is shown as unknown, then choose Run anyway. If those details do not match, cancel instead.

Competitor benchmark

On the 20-task modest cross-language base set, Girder passed 5/20 versus Ripwire's 7/20 — a loss. But across the 60 attempts where both products passed, Girder returned 35,764 bytes versus Ripwire's 158,514 — 77.4% fewer — at identical call counts (120 each). GitNexus could not be scored: its install exceeded the frozen 1 GiB ceiling on this measurement machine, which is a fact about install footprint on a constrained host, not a claim about its quality.

No product in this benchmark reached full correctness, and the benchmark does not establish an overall best product. See the full report for methodology, per-language results, and everything the numbers above don't establish.

Use it from an AI coding agent

girder mcp serves the read-only graph commands over the Model Context Protocol, so an agent can ask about your codebase instead of reading files into its context window.

Preview the changes, then configure detected agents:

npx -y girder-mcp setup --dry-run

npx -y girder-mcp setup

setup detects Claude Code (~/.claude or an existing in-home project .mcp.json), Codex (~/.codex or an in-home CODEX_HOME), and Cursor (~/.cursor). It merges the girder MCP entry into each detected agent's documented config and installs nested PreToolUse and PostToolUse hooks for Claude Code and Codex. Pre hooks cover structured Read, read_file, and mcp__.*__read_file events; post hooks cover Claude's Edit|Write|NotebookEdit and Codex's apply_patch|Edit|Write edit names. Shell commands are intentionally not parsed. Cursor documents hooks, but no pre-read hook can add advisory context without blocking (preToolUse and beforeReadFile only allow, deny, or rewrite input; only postToolUse and sessionStart return additional_context, after the fact), so setup registers MCP and the project rule for Cursor but no hook. A generic MCP client has no universal config path and is reported as not detected. Setup never writes outside your home directory. Existing foreign girder entries remain untouched, including with --force; girder setup --uninstall removes only setup-owned changes.

The orient-first instruction. Besides MCP, setup installs one short shared instruction through each client's own mechanism, so the agent calls Girder's orient before broad reads or grep, says so when Girder is unsure, and falls back to reading source rather than guessing:

ClientInstruction locationNotes
Claude Codea delimited block in ~/.claude/CLAUDE.mdClaude Code concatenates user and project CLAUDE.md files into context
Codexa delimited block in $CODEX_HOME/AGENTS.md (default ~/.codex/AGENTS.md)skipped and reported if a non-empty AGENTS.override.md exists, because Codex then ignores AGENTS.md
Cursor.cursor/rules/girder-orient.mdc in the current project, only with girder setup --projectproject rules are .mdc files with alwaysApply: true; Cursor documents no file path for user rules, so none is written

The block is marked and recorded in girder-setup-state.json: re-running setup changes nothing, --uninstall restores the file exactly, an edited block is left alone, and --no-instructions skips this step. The formats above were checked against each client's own documentation on 2026-10-06; sources and quotes are in docs/observations/stage4-clients/.

Which form installs what. girder setup from a built or installed binary installs MCP, hooks, and the instruction, and writes an MCP entry that launches that installed binary ( mcp .), so clients run local Girder with no package download at launch. npx -y girder-mcp setup runs the *published* package's setup, which installs the instruction only once a release that includes it ships; when setup runs from npx's transient cache there is no stable binary path, so the entry falls back to the npx -y girder-mcp . launcher form and setup says so (install Girder, then run girder setup, to switch to the local binary).

The packaged hook launcher forwards each event to the pinned native girder hook executable and fails open on errors. Only standalone PreToolUse JSON is forwarded on stdout; post-edit native diagnostics pass through stderr, and MCP continues to use JSON-RPC on its own stdout. The read advisory only gives guidance when project.aether already exists. The post-edit advisory uses that saved graph snapshot, does not scan or rebuild the project, and describes the last analyzed version of changed files. See the setup and client path guide for config paths, ownership, and the manual JSON fallback.

For clients setup cannot detect, or to do it by hand, add the entry to the client's documented MCP config. Placement per client:

ClientWhereFormat
Claude Codeproject .mcp.json or user ~/.claude.jsonJSON mcpServers.girder (below)
Cursorproject .cursor/mcp.json or user ~/.cursor/mcp.jsonJSON mcpServers.girder (below)
Codex~/.codex/config.toml (or a trusted project's .codex/config.toml)TOML table, shown after the JSON
Any other MCP clientthat client's documented MCP configthe same command and args

JSON form:

{

"mcpServers": { "girder": { "command": "npx", "args": ["-y", "girder-mcp", "."] } } }

Codex uses a TOML table instead:

[mcp_servers.girder]

command = "npx" args = ["-y",

Only the beginning is shown; read the rest in the repo

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