Decision State MCP
A small MCP server that stores and retrieves compact decision-relevant state (goals, constraints, facts, decisions) outside the chat context, enabling easy retrieval for Claude Code or Codex.
README
Decision State MCP
Decision State is a small MCP server for keeping project decisions outside the chat context while still making them easy for Claude Code or Codex to retrieve.
It is intentionally not a planner or executor. It only stores compact, decision-relevant state: goals, constraints, facts, assumptions, risks, decisions, and reflections.
Tools
get_state: return the current state summary and record counts.update_state: apply a JSON merge patch to.claude-state/state.json.record_evidence: save normalized evidence sources, findings, limitations, and confidence.record_decision: save a structured decision under.claude-state/decisions/.get_task_context: return compact state and matching prior records for a task.search_state: search prior decisions, evidence, reflections, and sessions.get_session: return the active decision session.reflect_outcome: record what happened after a decision or implementation.
Local Use
Install dependencies:
npm install
Run the server over stdio:
npm start -- --state-dir .claude-state
The default state directory is .claude-state relative to the process working directory. You can also set DECISION_STATE_DIR.
Claude Code MCP
From a project where you want the state to live:
claude mcp add --transport stdio decision-state -- node C:\Users\ZCX\Documents\mcp-state\server\index.js --state-dir .claude-state
State Layout
.claude-state/
state.json
decisions/
evidence/
sessions/
briefs/
reflections/
updates/
Keep this state compact. Do not store raw conversation dumps, private secrets, or full source files.
Evidence Shape
Evidence is normalized into a compact structure inspired by Spice:
{
"summary": "Why this evidence matters",
"sources": [
{
"source_id": "file:src/auth.ts",
"source_type": "file",
"title": "auth module",
"path": "src/auth.ts",
"verification_status": "verified_by_agent"
}
],
"findings": [
{
"text": "Auth token validation is centralized in src/auth.ts.",
"source_refs": ["file:src/auth.ts"],
"confidence": "high"
}
],
"limitations": ["Only inspected auth files"],
"confidence": "medium"
}
record_decision accepts either legacy evidence findings or an evidence_context object. When evidence is present, the server writes a separate evidence artifact, links it to the decision, updates the active session, and creates a markdown brief under .claude-state/briefs/.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。