io.github.CloudCorpRecords/decisiontrail
Local decision memory for coding agents: record decisions with limits, search precedents, supersede.
MCP-сервер · от CloudCorpRecords
Коротко
io.github.CloudCorpRecords/decisiontrail: MCP-сервер, издатель CloudCorpRecords. Витрин, которые мы читаем и где он опубликован: 1 (Official MCP Registry). Мы впервые увидели его 2026-11-04 и с тех пор изменений не фиксировали. Данные нашего прохода по витринам на 2026-11-07.
Что просит
- Работает на вашем компьютере
Ни одна из витрин, которые мы читаем, не публикует его инструменты или настройки, которые он просит.
Что объявляет, просит и запускает, полностью
Устанавливайте плагины только от разработчиков, которым доверяете. Мы показываем то, что публикуют витрины, и не проверяем плагины.
Работает с
- Claude Code
- Codex
- Cursor
- VS Code
- Copilot CLI
Ссылка в один клик открывает клиент, и он просит подтвердить, прежде чем добавить сервер.
По маркетплейсам, где он опубликован, и объявленному транспорту MCP, как их документирует каждый клиент. Плагины мы не тестируем.
Подключить
Команды и конфигурации собраны только из того, что объявляют витрины. Мы не запускаем их за вас и не проверяем плагины.
Как локальный MCP-сервер: пакет npm
Собрано из того, что объявляет Official MCP Registry.
claude mcp add --transport stdio decisiontrail -- npx -y @reneturcios/decisiontrail mcp[mcp_servers.decisiontrail]
command = "npx"
args = ["-y", "@reneturcios/decisiontrail", "mcp"]{
"mcpServers": {
"decisiontrail": {
"command": "npx",
"args": [
"-y",
"@reneturcios/decisiontrail",
"mcp"
]
}
}
}Где опубликован
| Витрина | Статус | Версия | Числа | Проверен | Впервые замечен |
|---|---|---|---|---|---|
| Official MCP Registry (Открыть запись реестра) | Опубликован | 0.1.0 | Форки (GitHub): 0 Звёзды (GitHub): 0 |
Не помечен |
Каждое число принадлежит своей витрине и никогда не складывается с числами других витрин. Если витрина число не публикует, мы его не показываем: нет числа не значит ноль.
Что менялось
- Стал продуктом, за которым мы следим
- Official MCP Registry: появился
Похожие плагины
Продукты, чьи собственные названия, описания, инструменты и скиллы ближе всего по смыслу к этому, на всех витринах, которые мы читаем. Близость упорядочена только внутри этого списка.
-
Deterministic, offline, read-only ADR decision memory for coding agents. No model or network calls.
-
agent-memory io.github.theprodsde/agent-memory
Persistent agent memory with a decision layer: replay, restore, verify, or none — explainable.
-
mcp-server-decisions io.github.Roberton003/mcp-server-decisions
Decision tracking with prediction validation and outcome gates for AI agents
-
robrain io.github.adelinamart/robrain
Self-hosted decision memory for AI coding agents; warns before re-proposing a rejected approach.
-
Create and evaluate versioned decision models with reproducible results and declared assumptions.
-
mnema: decision records for AI coding agents
Signed, append-only decision records for AI coding agents, over MCP. Verify them offline.
-
Project memory across sessions for AI agents. A queryable decision log in the repo.
-
Decision memory for AI agents: record, revisit, and resolve consequential choices.
-
okl — Observed Knowledge Ledger
Keeps your agent true to your rules. Keeps them true to the code. Keeps learning as you build.
-
decisionscope io.github.CloudCorpRecords/decisionscope
Read-only decision record: query decisions, drain decision changes, verify token.
Похожие плагины по витринам
Тот же вопрос к каждой витрине по отдельности: есть ли там аналог этого плагина?
Есть на витрине Claude Code: claude-plugins-community (5)
-
engram io.github.tstockham96/engram
Intelligent agent memory with automatic extraction, consolidation, and bi-temporal recall.
-
agent-knowledge io.github.keshrath/agent-knowledge
Cross-session memory for AI agents - knowledge graph, scoring, semantic search
-
Deterministic decision records for agents and humans. Local-first + team support. Supports both project-level and user-level scopes.
-
Governance and audit layer for AI agents: policy, approvals, tamper-evident audit chains.
-
deepmiro io.github.kakarot-dev/deepmiro
Simulate hundreds of AI agents to predict how communities react to events and policies
Есть на витрине Claude Code: claude-plugins-official (5)
-
Continuous memory for Claude Code. Extracts, summarizes, and compresses conversations into tiered daily logs. Claude remembers what you did yesterday.
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Dynatrace observability skills: DQL query patterns, application and infrastructure monitoring, log analysis, problem investigation, and incident response workflows, with the…
-
mcp-server io.github.cap-js/mcp-server
Model Context Protocol (MCP) server for AI-assisted development of CAP applications.
-
Detect an MCP server's language (Python, TypeScript or Go) and instrument it with the matching Pendo SDK so MCP tool calls flow into Pendo Agent Analytics.
Есть на витрине Claude: knowledge-work-plugins (5)
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Search companies and contacts, enrich leads, find lookalikes, and get AI-ranked contact recommendations. Pre-built skills chain multiple ZoomInfo tools into complete B2B sales…
-
Atlan data catalog plugin for Claude Code. Search, explore, govern, and manage your data assets through natural language. Powered by the Atlan MCP server with semantic search…
-
Connects Claude Code to the Synthflow AI voice-agent platform through its hosted MCP server, with skills for reviewing calls and auditing agent prompts, plus a docs-search…
Есть на витрине Codex: openai-curated (openai/plugins) (5)
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
CrowdStrike Falcon Foundry development skills for building cybersecurity applications on the Falcon platform. Includes UI development, collections, functions, workflows, API…
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
An agentic skills framework & software development methodology that works: planning, TDD, debugging, and collaboration workflows.
-
Answer product and business questions with data
Есть на витрине Community GitHub marketplaces (5)
-
Persistent local memory for coding agents: temporal knowledge graph, procedural and episodic recall
-
PAPI: Persistent Adaptive Project Intelligence
Adaptive plan/build/review cycles for AI coding assistants, persisted across sessions.
-
Enforces structured decision-making by creating Agent Decision Records (AgDR) when AI agents make technical choices like selecting libraries, patterns, or architecture.
-
neural-memory io.github.nhadaututtheky/neural-memory
Persistent memory for AI agents — 55 MCP tools, spreading activation recall.
-
system-one
Design, integrate, evaluate, self-host, and troubleshoot typed System One decision models including TypeSafe Jev, Convai Innovations Laya, CLM, and experimental Strands Decider…
Есть на витрине Copilot CLI: github/awesome-copilot (5)
-
Safe BLE diagnostics, evidence workflows, and guarded automation for AI agents.
-
crowdstrike-charlotte-ai-agentworks
CrowdStrike Charlotte AI AgentWorks skills for creating, managing, and invoking AI agents via external Falcon API Gateway endpoints. Includes agent lifecycle management…
-
A runtime-portable 5-agent quality gate that adjudicates text artifacts before they ship. Five role-conditioned LLM deliberators run a 2-round async protocol with cross-read…
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Complete toolkit for building Model Context Protocol (MCP) servers in Go using the official github.com/modelcontextprotocol/go-sdk. Includes instructions for best practices, a…
Есть на витрине Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
Microsoft Dataverse plugin for coding agents, covering record CRUD, bulk data operations, advanced queries, schema and metadata, administration, security, environment management…
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
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…
Есть на витрине Cursor: cursor/plugins (5)
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
Search company knowledge and draft verified answers.
-
Patterns for designing CLIs that coding agents can run reliably: flags, help with examples, pipelines, errors, idempotency, dry-run.
Есть на витрине Docker MCP Catalog (5)
-
Wayfound’s MCP server allows business users to govern, supervise, and improve AI Agents.
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
The Official Model Context Protocol (MCP) server for Kagi Search & other tools.
-
Server-enforced workflow discipline for AI agents: work items, dependency graphs, quality gates
-
Give your AI agents trusted access to the full Postman platform.
Есть на витрине Official MCP Registry (5)
-
Deterministic, offline, read-only ADR decision memory for coding agents. No model or network calls.
-
agent-memory io.github.theprodsde/agent-memory
Persistent agent memory with a decision layer: replay, restore, verify, or none — explainable.
-
mcp-server-decisions io.github.Roberton003/mcp-server-decisions
Decision tracking with prediction validation and outcome gates for AI agents
-
robrain io.github.adelinamart/robrain
Self-hosted decision memory for AI coding agents; warns before re-proposing a rejected approach.
-
Create and evaluate versioned decision models with reproducible results and declared assumptions.
Есть на витрине PyPI (MCP servers) (5)
-
Governed data discovery, exact queries, decisions, simulations, and runtime utilities over MCP.
-
link io.github.gowtham0992/link
Local personal memory for agents as MCP tools — remember, recall, search, context, graph traversal.
-
Single-file, self-hosted semantic memory MCP server for AI coding agents
-
yantrikdb-mcp io.github.yantrikos/yantrikdb-mcp
Cognitive memory for AI agents — semantic recall, knowledge graph, and contradiction detection
-
Unified MCP server for AgenticLens and Agentic Chaos capabilities.
Есть на витрине npm registry (MCP servers) (5)
-
Deterministic, offline, read-only ADR decision memory for coding agents. No model or network calls.
-
jev-decision-mcp io.github.amidabuddha/jev-decision-mcp
Typed Jev decisions in one tool: choice, score, yes/no probabilities via any compatible endpoint.
-
memory-pulse io.github.t-crew/memory-pulse
Give any agent self-improving memory you can trust in production. Built-in memory security.
-
memory-journal-mcp io.github.neverinfamous/memory-journal-mcp
Developer journal with knowledge graphs, relationships, Git context, and semantic search
-
Shared, serverless, conflict-free knowledge-graph memory for AI agents
Найдено по смыслу, а не по общему коду или репозиторию: похожие плагины остаются разными продуктами, и это не обзор и не рекомендация.
Хотите такой знак у своего плагина в нашем каталоге?
Докажите, что поддерживаете его, файлом в репозитории, файлом на вашем домене или DNS-записью, и сможете показать этот знак на карточке, а ещё живые баннеры для сайта и README. Как проходит подтверждение
Ещё вы будете получать уведомления, когда витрина добавит плагин, снимет его, изменит отметку verified или список того, что он просит, а его удалённый endpoint встанет на мониторинг как веб-сервис.
Данные витрины Official MCP Registry. Числа взяты из наших регулярных обходов витрин, последняя проверка . Контакты издателей плагинов мы не публикуем.