io.github.codeledgerECF/codeledger
Deterministic context selection for AI coding agents. Local memory that compounds across sessions.
Serveur MCP · par codeledgerECF
Aperçu
io.github.codeledgerECF/codeledger est un serveur MCP publié par codeledgerECF. Places de marché que nous lisons et qui le référencent : 1 (Official MCP Registry). Nous l'avons vu pour la première fois le 2026-10-11 et n'avons enregistré aucun changement depuis. Selon notre passage sur les places de marché du 2026-10-12.
Ce qu'il demande
- S'exécute sur votre machine
Aucune des places de marché que nous lisons ne publie ses outils ni les réglages qu'il demande.
Ce qu'il déclare, demande et exécute, en détail
N’installez que des plugins de développeurs en qui vous avez confiance. Nous reprenons ce que publient les places de marché et ne testons pas les plugins.
Connecter
Commandes et configurations construites uniquement à partir de ce que déclarent ses places de marché. Nous ne les exécutons pas pour vous et ne testons pas les plugins.
En serveur MCP local : paquet npm
Construit à partir de ce que déclare Official MCP Registry.
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"
]
}
}
}Nous ne gardons pas les arguments de lancement. Si le serveur en demande, sa propre documentation les donne.
Où il est publié
| Place de marché | Statut | Version | Chiffres | Vérifié | Vu pour la première fois |
|---|---|---|---|---|---|
| Official MCP Registry (Ouvrir la fiche du registre) | Référencé | 0.10.7 | Forks (GitHub): 3 Étoiles (GitHub): 8 |
Non marqué |
Chaque chiffre est celui de la place de marché et n'est jamais additionné entre places de marché. Une place de marché qui ne publie pas de chiffre n'en affiche aucun : pas de nombre ne veut pas dire zéro.
Ce qui a changé
Rien n'a bougé sur ce plugin depuis que nous le suivons.
Plugins similaires
Produits dont les noms, descriptions, outils et skills sont les plus proches de celui-ci par le sens, sur toutes les places de marché que nous lisons. La proximité n'est classée qu'à l'intérieur de cette liste.
-
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.
Plugins similaires par place de marché
La même question posée à chaque place de marché séparément : y a-t-il là un équivalent de ce plugin ?
Référencé sur 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…
Référencé sur 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.
Référencé sur 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.
Référencé sur 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.
Référencé sur 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…
Référencé sur 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…
Référencé sur 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…
Référencé sur 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.
Référencé sur 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.
Référencé sur 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.
Trouvés par le sens, et non par un code ou un dépôt commun : les plugins similaires restent des produits distincts, et ceci n'est ni un avis ni une recommandation.
C'est votre plugin ?
Prouvez que vous maintenez ce plugin avec un fichier dans son dépôt, un fichier sur votre domaine ou un enregistrement DNS. Vous recevez des alertes quand une place de marché le publie, le retire, change sa marque vérifiée ou ce qu'il demande, et vous pouvez mettre son endpoint distant sous surveillance comme service web.
Données issues de Official MCP Registry. Les chiffres proviennent de nos propres passages réguliers sur les places de marché, dernière lecture le . Nous ne publions aucune coordonnée des éditeurs de plugins.