DarkMatter MCP Server

DarkMatter MCP Server

Universal MCP server that emits Context Passport records for AI agent decisions and actions. Drop into any MCP-compatible client to give your agent a commit/verify/replay/export toolset for verifiable, tamper-evident records.

Category
访问服务器

README

DarkMatter MCP Server

Universal MCP server that emits Context Passport records for AI agent decisions and actions. Drop into any MCP-compatible client (Claude Code, Cursor, Cline, Continue, ChatGPT Desktop, Zed, Goose, and others) to give your agent a commit / verify / replay / export toolset for verifiable, tamper-evident records.

Built by DarkMatter. Implements Context Passport v2.0, an open CC0 standard. Records emitted by this server use RFC 8785 (JCS) canonicalization and are byte-equivalent across the Python and TypeScript reference SDKs.

Install

In your MCP client's config (claude_desktop_config.json, Cursor's mcp.json, etc.):

{
  "mcpServers": {
    "darkmatter": {
      "command": "npx",
      "args": ["-y", "@darkmatterhub/mcp-server"]
    }
  }
}

Restart the client. Five tools become available to your agent:

  • darkmatter_commit — record an agent decision or action
  • darkmatter_verify — check that the chain has not been tampered with
  • darkmatter_replay — walk the full chain in order
  • darkmatter_export — produce a portable proof bundle
  • darkmatter_list_sessions — see what sessions exist locally

What gets captured

Whatever the agent (or user) explicitly invokes via darkmatter_commit. Auto-capture of every tool call without explicit invocation is a separate component (see Auto-capture below).

Example agent flow:

User:    Approve the refund for order #1247 and record the decision.
Agent:   Calls refund_order(1247).
Agent:   Calls darkmatter_commit({
           input: "Approve refund for order #1247",
           output: "Approved. $84.00 refunded to original payment method.",
           role: "compliance",
           event_type: "commit"
         })
Result:  { ok: true, passport: {...}, verify_url: "https://darkmatterhub.ai/r/ctx_..." }

The passport is signed (if a key is configured), hash-chained to the previous commit in the session, and stored locally at ~/.darkmatter/mcp/<session_id>/chain.jsonl.

Storage

Default: local-only. Passports never leave the machine.

~/.darkmatter/mcp/
├── default/
│   ├── chain.jsonl        # append-only stream of all commits
│   └── latest.json        # most recent passport (used as parent for the next)
└── <other-session-id>/
    └── ...

To forward each passport to a DarkMatter receiving server in addition to local storage, set:

export DARKMATTER_API_KEY="dm_sk_..."

The forwarding is best-effort and never blocks the agent's tool call. Local storage remains the source of truth.

Auto-capture

The MCP server captures only what the agent explicitly invokes. To auto-capture every tool call and turn boundary in a specific dev tool (without the agent having to remember to call darkmatter_commit), install one of the dev-tool-specific adapters:

  • darkmatter-hub/claude-code — auto-capture for Claude Code (Anthropic)
  • Cursor adapter — planned
  • OpenAI Codex adapter — planned
  • Aider adapter — community-built welcome

Each adapter hooks into its specific dev tool's event lifecycle and routes events through this MCP server's darkmatter_commit tool. One canonical endpoint, many capture surfaces.

Verification

Records are valid Context Passport v2.0 artifacts. Verify with any conformant implementation:

pip install context-passport context-passport-conformance
context-passport-conformance --level signed     # 9/9 vectors, no --vectors-dir needed

The conformance package ships its vectors inside the wheel, so this is a one-line check against the public reference suite.

Or use the offline reference verifier directly on the JSONL file:

import json
from context_passport import verify_chain

with open("~/.darkmatter/mcp/default/chain.jsonl") as f:
    chain = [json.loads(line) for line in f]

print(verify_chain(chain))  # True if intact, False if tampered

Why MCP

MCP (Model Context Protocol) is becoming the universal interop layer for AI tools. Writing this server once means it works in every MCP-compatible client without per-client integration code. See the Context Passport for MCP proposal for the broader architectural rationale.

License

Apache-2.0. See LICENSE.

The Context Passport schema this server implements is released separately under CC0 1.0 at github.com/contextpassport/spec.

Related repositories

推荐服务器

Baidu Map

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。

官方
精选
JavaScript
Playwright MCP Server

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。

官方
精选
TypeScript
Magic Component Platform (MCP)

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。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

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。

官方
精选
本地
TypeScript
VeyraX

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。

官方
精选
本地
graphlit-mcp-server

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。

官方
精选
TypeScript
Kagi MCP Server

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。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

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。

官方
精选