io.github.codeledgerECF/codeledger
Deterministic context selection for AI coding agents. Local memory that compounds across sessions.
MCP server · by codeledgerECF
About
io.github.codeledgerECF/codeledger is an MCP server published by codeledgerECF. Marketplaces we read that list it: 1 (Official MCP Registry). We first saw it on 2026-10-11 and have recorded no change since. As of our marketplace pass on 2026-10-12.
What it asks for
- Runs on your machine
None of the marketplaces we read publishes its tools or the settings it asks for.
What it declares, asks for and runs, in full
Only install plugins from developers you trust. We list what marketplaces publish and do not test plugins.
Package
npm @codeledger/cli (@codeledger/cli on npm)
- npm downloads/week: 1 146 (2026-10-12)
- npm downloads/month: 4 831 (2026-10-12)
- Latest version on npm: 0.10.80, published 2026-10-03
npm facts come from the public npm registry (registry.npmjs.org, api.npmjs.org). Each figure is the registry's own and is never added to another. A registry that publishes no figure shows none: no number is not zero.
Works with
- Claude Code
- Codex
- Cursor
- VS Code
- Copilot CLI
A one-click link opens the client, which asks you to confirm before it adds the server.
From the marketplaces that list it and the MCP transport it declares, as each client documents them. We do not test plugins.
Connect
Commands and configs built only from what its marketplaces declare. We do not run them for you and do not test plugins.
As a local MCP server: npm package
Built from what Official MCP Registry declares.
claude mcp add --transport stdio codeledger -- npx -y @codeledger/cli
[mcp_servers.codeledger]
command = "npx"
args = ["-y", "@codeledger/cli"]
{
"mcpServers": {
"codeledger": {
"command": "npx",
"args": [
"-y",
"@codeledger/cli"
]
}
}
}
We do not store launch arguments. If the server needs any, its own documentation names them.
Where it is published
| Marketplace | Status | Version | Figures | Verified | First seen |
|---|---|---|---|---|---|
| Official MCP Registry (Open the registry record) | Listed | 0.10.7 | Downloads/month (npm): 4 831 Downloads/week (npm): 1 146 Forks (GitHub): 3 Stars (GitHub): 8 |
Not marked |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
What changed
Nothing has moved on this plugin since we started watching it.
Similar plugins
Products whose own names, descriptions, tools and skills are closest in meaning to this one, on every marketplace we read. Closeness is ranked within this list only.
-
Context intelligence for AI coding agents: navigation, impact, memory, guarded edits.
-
contextual io.github.Contextual-Laboratories/contextual
Persistent memory for AI coding agents: local-first semantic search, dependency graphs, git history.
-
Efficient context management: code search, evidence packs, and memory for coding agents.
-
mdflow — Context OS for AI Coding Agents
Context OS for AI coding agents: task-scoped AST context, verified mutation, and rollback.
-
project-memory-mcp io.github.kaaustubh/project-memory-mcp
Persistent memory for AI coding agents — past bugs, decisions, and your corrections, in your repo.
-
code-context-gate io.github.wisdomrock/code-context-gate
Context-aware code retrieval MCP server — ranked, gated results for AI coding agents
-
cogmemory-mcp io.github.skylarng89/cogmemory-mcp
CogMemory MCP Server — Unified context subsystems for AI coding agents
-
memini io.github.lumayapartners/memini
Local-first project memory and mistake-prevention guardrails for AI coding agents.
-
aidimag io.github.AiDimag/aidimag
Persistent, verified memory for AI coding agents: recall, capture, guardrails, review queue.
-
Local-first engineering cognition for AI coding agents — persistent memory over your codebase.
Similar plugins by marketplace
The same question asked of one marketplace at a time: is there an analog of this plugin there?
Has a listing on Claude Code: claude-plugins-community (5)
-
memex io.github.STiFLeR7/memex
Temporal engineering context for agents via MCP.
-
Persistent cross-session memory for Claude Code. Neutrally auto-injects your project context, decisions, and tech stack at session start so Claude already knows who you are and…
-
Intelligent orchestration platform for AI coding tools. Coordinates Claude, Codex, Gemini, and OpenCode through a single MCP server — routing each task to the best model using…
-
Eliminate context rot in Claude Code with intelligent memory hierarchy, auto-learning hooks, and specialized subagents. Uses an 8-layer memory architecture with SessionStart/End…
-
Plugin description: Self-learning Claude Code plugin that automatically detects what project you're working on and injects the right file context into every session. No manual…
Has a listing on Claude Code: claude-plugins-official (5)
-
MCP server for AI coding agents to create, manage, and interact with Quarkus applications. Provides tools for project scaffolding, dev mode lifecycle, extension skills, Dev MCP…
-
Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and…
-
Upstash Context7 MCP server for up-to-date documentation lookup. Connects to Context7's hosted remote MCP server (https://mcp.context7.com/mcp) — no local Node.js or npx required…
-
Precise local semantic code search via MCP. Indexes your codebase with Go AST parsing, embeds with Ollama or LM Studio, and exposes vector search to Claude through an MCP server…
-
Analyze codebases and recommend tailored Claude Code automations such as hooks, skills, MCP servers, and subagents.
Has a listing on Claude: knowledge-work-plugins (5)
-
Bring Qodo's codebase intelligence, coding standards, and code review into your coding agent.
-
MCP server for terminal commands, file operations, and process management
-
Official Buildkite skills for Claude Code, Cursor, and other AI coding agents — pipelines, migration, preflight, agent runtime, CLI, and API
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
Streamline engineering workflows — standups, code review, architecture decisions, incident response, and technical documentation. Works with your existing tools or standalone.
Has a listing on Codex: openai-curated (openai/plugins) (5)
-
An agentic skills framework & software development methodology that works: planning, TDD, debugging, and collaboration workflows.
-
AI-powered code review in Codex, powered by CodeRabbit.
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Qodo setup, code intelligence, and review workflows.
Has a listing on Community GitHub marketplaces (5)
-
4da-mcp-server io.github.4DA-Systems/4da-mcp-server
Upgrade intelligence for AI agents: what an upgrade changes, where it touches your code, CVE scans.
-
Endor Labs workflow agents and setup for Claude Code.
-
Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and…
-
Local graph memory that lets Codex recall project context across sessions.
-
Self-hosted GitHub MCP server. PAT auth, stdio transport, transport-agnostic so it works with…
Has a listing on Copilot CLI: github/awesome-copilot (5)
-
Coding agents hallucinate APIs. ContextMatic gives them curated, versioned API and SDK docs. Ask your agent to "integrate the payments API" and it guesses — falling back on…
-
Build applications with the GitHub Copilot SDK across multiple programming languages. Includes comprehensive instructions for C#, Go, Node.js/TypeScript, and Python to help you…
-
Meta prompts that help you discover and generate curated GitHub Copilot agents, instructions, prompts, and skills.
-
Tools and techniques for maximizing GitHub Copilot effectiveness through better context management. Includes guidelines for structuring code, an agent for planning multi-file…
-
Complete toolkit for building Model Context Protocol (MCP) servers in TypeScript/Node.js using the official SDK. Includes instructions for best practices, a prompt for generating…
Has a listing on Copilot CLI: github/copilot-plugins (5)
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
Advanced Security plugin for GitHub Copilot.
-
Navigate and interact with your C++ code using the Microsoft C++ Language Server.
-
model-apps
Build and deploy Power Apps generative pages for model-driven apps with specialist agents for planning, entity creation, and parallel code generation. Requires PAC CLI >= 2.7.0…
Has a listing on Cursor: cursor/plugins (5)
-
Patterns for designing CLIs that coding agents can run reliably: flags, help with examples, pipelines, errors, idempotency, dry-run.
-
Build apps, scripts, and automations with the TypeScript SDK.
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
if you want to go fast, go deep first. pstack helps you write less, but higher quality code. rigorous agent workflows you can parallelize with confidence.
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
Has a listing on Docker MCP Catalog (5)
-
Stop stitching context for Copilot and Cursor. With Sequa MCP, your AI tools know your entire codebase and docs out of the box.
-
Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.
-
Giving Claude ability to run code with E2B via MCP (Model Context Protocol).
-
Pull up-to-date, version-specific documentation and code examples for any library or framework straight into your prompt.
-
Tools and resources for writing Effect code in Typescript.
Has a listing on Official MCP Registry (5)
-
Context intelligence for AI coding agents: navigation, impact, memory, guarded edits.
-
contextual io.github.Contextual-Laboratories/contextual
Persistent memory for AI coding agents: local-first semantic search, dependency graphs, git history.
-
Efficient context management: code search, evidence packs, and memory for coding agents.
-
mdflow — Context OS for AI Coding Agents
Context OS for AI coding agents: task-scoped AST context, verified mutation, and rollback.
-
project-memory-mcp io.github.kaaustubh/project-memory-mcp
Persistent memory for AI coding agents — past bugs, decisions, and your corrections, in your repo.
Found by meaning, not by shared code or a shared repository: similar plugins stay separate products, and this is not a review or a recommendation.
Is this your plugin?
Add it to your projects and prove you maintain it with a file in its repository, a file on your domain or a DNS record. You get alerts when a marketplace lists it, drops it, changes its verified mark or what it asks for, and its remote endpoint goes on monitoring as a web service.
Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.