ThreatConnect v3 MCP Server

ThreatConnect v3 MCP Server

Enables LLM clients to interact with ThreatConnect v3 for case management and threat intelligence, providing typed tools for creating/updating cases, indicators, and artifacts while handling HMAC authentication and API quirks.

Category
访问服务器

README

ThreatConnect v3 MCP Server

A Model Context Protocol server that gives an MCP-capable LLM client a small set of reliable, validated tools to drive ThreatConnect Case Management and Threat Intelligence through the v3 REST API.

It hides v3's HMAC authentication, retries, pagination, and error quirks behind typed tools so the model never hand-rolls HTTP or signing.

Tools

Tool v3 call What it does
create_case POST /v3/cases Create a case (name/status/severity + optional nested artifacts, tags, attributes).
update_case PUT /v3/cases/{id} Partial update; nested associations honor mode (append/replace/delete).
create_indicator POST /v3/indicators Create any indicator type; type→summary-field resolved automatically.
add_artifact POST /v3/artifacts Attach one artifact to an existing case by case_id/case_xid.
add_artifacts_bulk PUT /v3/cases/{id} or fan-out POST Attach many artifacts: one nested-append request, or concurrent POSTs with a per-item ledger.
enrich_indicator GET /v3/indicators/{id|summary} Return TC's context: rating/confidence, tags, attributes, associations, observations, web link.
tc_get (read-only) GET /v3/<allowlisted> Escape hatch for arbitrary reads with TQL/fields — never writes.

There is deliberately no generic write tool: unconstrained PUT/DELETE against shared threat intel is too dangerous to hand an LLM.

Install

Requires Python 3.12+ and uv.

uv sync
cp .env.example .env   # then fill in your credentials

Configuration

Set these in .env (or the environment). HMAC is the primary auth path.

Variable Required Default Notes
TC_BASE_URL yes e.g. https://myinstance.threatconnect.com (normalized to /api).
TC_API_ACCESS_ID HMAC API user access id.
TC_API_SECRET_KEY HMAC API user secret key (never logged).
TC_API_TOKEN token Alternative to HMAC; used only if the HMAC pair is absent.
TC_DEFAULT_OWNER no Default owner for owner-relative reads/writes.
TC_TIMEOUT no 30 Per-request timeout (seconds).
TC_MAX_RETRIES no 3 Retries on 429/5xx with backoff + jitter.
TC_VERIFY_SSL no true TLS verification.
TC_LOG_LEVEL no WARNING Logs go to stderr, secret-redacted.

Clock skew: the HMAC Timestamp must be within five minutes of server time. Keep the host on NTP.

Run

uv run tc-mcp          # stdio transport

Claude Desktop / mcp.json

{
  "mcpServers": {
    "threatconnect": {
      "command": "uv",
      "args": ["--directory", "/abs/path/to/threat_connect_mcp", "run", "tc-mcp"]
    }
  }
}

Inspect the tool surface

npx @modelcontextprotocol/inspector uv run tc-mcp

Development

uv run ruff check .        # lint
uv run mypy src            # types
uv run pytest -q           # mocked unit/integration tests

Live smoke test (gated)

The live tests are skipped unless credentials are present and -m live is passed. A green test_signature proves the HMAC string-to-sign is correct against your instance:

TC_BASE_URL=... TC_API_ACCESS_ID=... TC_API_SECRET_KEY=... \
    uv run pytest -m live tests/test_live.py

Design notes

  • Thin httpx client, not TcEx. TcEx assumes it runs inside the TC platform; a small signed httpx client is easier to test (golden HMAC vector) and has no hidden runtime assumptions.
  • "Dynamic" via schema introspection. Tools validate caller fields/types against the live OPTIONS /v3/<endpoint> and /v3/artifactTypes descriptors, so they track the API instead of a frozen copy. Validation degrades gracefully if a descriptor is unavailable — the API stays the final authority.
  • TQL injection defense. Any caller value interpolated into a TQL clause (enrich-by-summary) is escaped and control characters are rejected.

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