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Codeledger

by codeledgerECFversion 0.10.82i★ –iRuns on your computer
Registry nameio.github.codeledgerECF/codeledger

Install

Overview

Description from the maker (original English)

Local context and engineering evidence for AI coding agents.

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: Other

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": {
    "codeledger": {
      "command": "npx",
      "args": [
        "-y",
        "@codeledger/cli",
        "mcp",
        "start"
      ]
    }
  }
}

Run this in your terminal

claude mcp add codeledger -- npx -y @codeledger/cli mcp start

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "codeledger": {
      "command": "npx",
      "args": [
        "-y",
        "@codeledger/cli",
        "mcp",
        "start"
      ]
    }
  }
}

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": {
    "codeledger": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@codeledger/cli",
        "mcp",
        "start"
      ]
    }
  }
}

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account codeledgerECF, 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 Otheri

  • More stars than 0% of the other 32357 servers in this category
  • Published to the registry more recently than 82% of the other 32357 servers in this category
  • Basic checks equal to or better than 100% of the other 32357 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 Codeledger 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 (0.10.82) reached the registry 7 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: Spec Driven Development, Remote Desktop Commander, Parano1d node

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

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
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Parano1d node

by noidium

Local Parano1d node over MCP. Read-only by default; sending needs the opt-in, capped wallet mode.

Runs on your computerUpdated today
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.

CodeLedger

Give AI coding agents the right repo context before they start - then verify what changed.

CodeLedger is local-first context control for AI coding agents. It scans a repository, selects a bounded task-relevant set of files, and writes an evidence-backed context bundle before the agent begins work.

Works with Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, and other CLI or MCP-compatible coding agents.

Try It

npm install -g @codeledger/cli

cd your-project codeledger ready --task "Fix null handling in user service"

CodeLedger initializes the repo if needed, refreshes the index, and creates the task-specific bundle at .codeledger/active-bundle.md. Your agent reads that artifact first so it starts with the files most relevant to the task.

Runtime analysis is local by default. Installing or updating may fetch packages or release artifacts from npm and GitHub Releases; CodeLedger runtime analysis does not send your source code through CodeLedger telemetry by default.

Example Benchmark

Example result from a mid-sized Node.js service. Results vary by repository, task, agent, and scenario.

MetricWithout CodeLedgerWith CodeLedgerChange
Tests Passed78%94%+16%
Iterations42-50%
Files Changed179-47%
Time to Finish6m 12s3m 40s-41%
Token Usage28k18k-36%

Do not take the benchmark on faith - measure CodeLedger on your own repo:

codeledger compare \

--scenario .codeledger/harness/scenarios/auth-rate-limit.json \ --guided

If CodeLedger improves your coding-agent workflow, star the repo to follow releases and help other developers discover it.

Start Here

How It Works

  1. CodeLedger scans the repo for deterministic local signals such as dependency structure, churn, tests, contracts, and task keywords.
  2. It ranks and packs a bounded set of task-relevant files.
  3. It writes .codeledger/active-bundle.md for your coding agent.
  4. After work, verification, receipts, and session summaries help show what changed and whether the selected context was useful.

Same task plus same repo state produces the same file ranking behavior.

Core Capabilities

  • Give agents the right context: deterministic file selection, scope inference, bounded budgets, blast-radius hints, and co-change context.
  • Keep work continuous: session summaries, checkpoints, mid-session refine, and handoff/recovery commands.
  • Keep agents inside the task: scope contracts, intent governance, loop detection, and multi-agent conflict checks.
  • Prove what happened: review intelligence, receipts, provenance, audit exports, and release evidence.

For the full command surface, see the CLI Reference.

Agent Integration

Claude Code can use CodeLedger hooks after codeledger ready initializes the repo. Cursor, Codex, GitHub Copilot, Gemini CLI, Aider, Windsurf, and other agents can read CLAUDE.md plus .codeledger/active-bundle.md, or use the repo-local wrappers when available.

CodeLedger also includes an MCP server for supported tiers:

codeledger mcp start

codeledger mcp status

See MCP Server and Feature Tiers for setup and tier details.

Trust And Verification

  • Runtime source analysis runs locally by default.
  • Source code is not sent through CodeLedger telemetry by default.
  • No account is required for the local CLI flow.
  • Public releases include SHA256SUMS and release-evidence artifacts.
  • codeledger doctor checks the local install, hooks, config, index, and ledger health.
  • The public wrapper, docs, harness, and scanning surface are inspectable in this repo; the protected hardened runtime is covered by LICENSE-CORE.

Install

npm install -g @codeledger/cli

codeledger --version

Or use the release zip:

  1. Download the latest release.
  2. Extract it.
  3. Run install.sh.

The installer uses the bundled package from the zip, so the installed wrapper version matches the release. The wrapper then fetches the matching hardened binary from the GitHub release unless your environment already provides it.

Everyday Flow

cd your-project

codeledger ready codeledger ready --task "Fix null handling in user service"

Inside an initialized repo, you can also use:

codeledger activate --task "Fix null handling in user service"

codeledger doctor

Browser, cloud, and sandboxed environments can use the repo-local runtime deployed under .codeledger/bin/ after initialization or vendoring.

Architecture

CodeLedger has an open public surface and a protected hardened runtime:

PUBLIC:    CLI wrapper, types, repo scanner, harness, reports, docs, hooks

PROTECTED: Scoring engine, selection algorithm, confidence internals

Use codeledger about, codeledger doctor, and command-specific --explain output to inspect behavior and evidence without exposing protected implementation internals.

Privacy

  • Installation may use npm and GitHub Releases.
  • Runtime analysis runs on your local machine by default.
  • Runtime analysis makes zero source-code telemetry calls by default.
  • Your source code is not required to leave your machine for the local CLI flow.
  • Uninstall at any time.

License

  • Public wrapper, types, repo scanning, harness, reports, docs, and examples: MIT
  • Downloaded hardened binary: CodeLedger Core License

GitHub may classify the combined licensing structure as "Other" because the repo includes both MIT-covered public files and separately licensed protected runtime terms. Changing the license files should be a human legal decision.

Part Of ContextECF

CodeLedger applies Intelligent Context AI's context-control architecture to software engineering. For enterprise-wide governed context across applications and agents, see ContextECF.

CodeLedger is produced by Intelligent Context AI, Inc. See codeledger.dev.

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