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mcp-trust

作者:saagpatel版本 0.1.1i★ 0i在你的电脑上运行
注册名称io.github.saagpatel/mcp-trust

安装方法

What it does

Check the danger grade of any public MCP server before you connect.

  • Connects 在你的电脑上运行
  • Account or key No key needed
  • Category 其他

安装

选择你使用的 AI 应用,然后复制设置。

通过 3/3 项检查 · 在你的电脑上运行 · ✓ 命令已检查 2026年11月13日

第一步:你用哪个 AI?

选择你用的应用,步骤会显示在下方。

可连接 Claude,但需要先准备

需要先在电脑上安装 Python (uv)(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用

  1. 安装 Python (uv)

    只需一次,所有需要 Python (uv) 的服务器都能用

    打开 Python (uv) 下载页 ↗

  2. 打开电脑版 Claude 应用的设置文件

    SettingsDeveloperEdit Config

  3. 粘贴这些设置并保存文件

    {
      "mcpServers": {
        "trust": {
          "command": "uvx",
          "args": [
            "mcp-trust",
            "mcp-serve"
          ]
        }
      }
    }
  4. 退出 Claude 再重新打开

  5. 试一试

    用 mcp-trust 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude 说正在使用 mcp-trust,或回答中出现 mcp-trust 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

ChatGPT 暂时无法连接 mcp-trust

mcp-trust 需要安装在你的电脑上,而 ChatGPT 只能连接在网上运行的服务器

你可以改用这些方式

A · 使用能连接 mcp-trust 的应用

  • 需要先在电脑上安装 Python (uv)(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用
  • 需要先在电脑上安装 Python (uv)(只需一次)
  • 需要先在电脑上安装 Python (uv)(只需一次)
  • 需要先在电脑上安装 Python (uv)(只需一次)

B · 其他 类中能连接 ChatGPT 的其他服务器

从同类中使用较多的里挑选,仅限用地址即可连接、无需密钥的

可连接 Claude Code,但需要先准备

需要先在电脑上安装 Python (uv)(只需一次)

  1. 安装 Python (uv)

    只需一次,所有需要 Python (uv) 的服务器都能用

    打开 Python (uv) 下载页 ↗

  2. 打开终端

    Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell

  3. 粘贴这条命令并按 Enter

    claude mcp add --scope user trust -- uvx mcp-trust mcp-serve
  4. 在 Claude Code 中输入 /mcp

    应能看到 mcp-trust 在列表中并显示已连接

  5. 试一试

    用 mcp-trust 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude Code 说正在使用 mcp-trust,或回答中出现 mcp-trust 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

可连接 Cursor,但需要先准备

需要先在电脑上安装 Python (uv)(只需一次)

  1. 安装 Python (uv)

    只需一次,所有需要 Python (uv) 的服务器都能用

    打开 Python (uv) 下载页 ↗

  2. 点击这个按钮打开 Cursor

    在 Cursor 中打开

    Cursor 会请你确认安装,点击 Install

  3. 在 Cursor 中以 Agent 模式打开 AI 聊天

  4. 试一试

    用 mcp-trust 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Cursor 说正在使用 mcp-trust,或回答中出现 mcp-trust 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同

可连接 VS Code,但需要先准备

需要先在电脑上安装 Python (uv)(只需一次)

  1. 安装 Python (uv)

    只需一次,所有需要 Python (uv) 的服务器都能用

    打开 Python (uv) 下载页 ↗

  2. 点击这个按钮打开 VS Code

    在 VS Code 中打开

    VS Code 会请你确认安装,点击 Install

  3. 在 VS Code 中以 Agent 模式打开 AI 聊天

  4. 试一试

    用 mcp-trust 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 VS Code 说正在使用 mcp-trust,或回答中出现 mcp-trust 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同

其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看

查看所有支持 MCP 的应用 →

JSON 设置在下方“开发者专用”中

卡住了?问问正在用 mcp-trust 的人💬 讨论 →
开发者专用:终端命令和 JSON 设置

安装在电脑上

Claude Code

claude mcp add --scope user trust -- uvx mcp-trust mcp-serve

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "trust": {
      "command": "uvx",
      "args": [
        "mcp-trust",
        "mcp-serve"
      ]
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "trust": {
      "command": "uvx",
      "args": [
        "mcp-trust",
        "mcp-serve"
      ]
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "trust": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "mcp-trust",
        "mcp-serve"
      ]
    }
  }
}

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

一览

每周下载量i
63/周
连接方式
在你的电脑上运行
最新版本i
0.1.1
分类i
其他
发布到注册中心i
2026年7月3日
代码最后更新i
2026年11月13日
作者
saagpatel
软件包
pypi: mcp-trust
注册状态
活跃

哪些应用可以使用它

依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。

在你的电脑上运行,适用于

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

全部应用及其优缺点 →

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月14日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 saagpatel 验证,该账户拥有此仓库

  • ✓ 通过

    仍在维护

    代码最后更新于昨天

  • ✓ 通过

    有许可证

    使用 MIT

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

讨论

提问、分享技巧或报告无法使用。按“有帮助”数量排序。

还没有帖子,欢迎第一个提问或分享。

此处内容由用户撰写,不代表 PopNx 团队。

使用 Google 登录后发帖

用户评价

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用 Google 登录后写评价

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 19780 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 19780 个服务器的 11% 更新
  • 基础检查结果等于或优于此分类中其他 19780 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

mcp-trust 安全吗?

它在 3 项适用的基础检查中通过了 3 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于昨天,最新版本(0.1.1)于4个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它?

同一分类中有:World Monitor, Claude Flow, Windmill

同类别的其他选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

World Monitor

Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 97 tools.

作者:koala73广泛使用★ 9.1万今天更新

在云端运行✓ 服务方 · worldmonitor.app

Claude Flow

AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.

作者:ruvnet广泛使用↓ 1.4万/周★ 8.2万14个月前更新

在你的电脑上运行

Windmill

Run Windmill scripts and flows and manage jobs, schedules, resources and variables.

作者:windmill-labs广泛使用★ 1.9万前天更新

在云端运行

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

MCP Trust Registry

Check before you connect. A neutral, public danger grade for the MCP servers

your AI agents rely on.

Live: mcp-trust.vercel.app

Not yet published to PyPI. Install from source using the Quickstart below.

Use as an MCP server

mcp-trust runs as a read-only MCP server so an agent can check a server's danger grade *before connecting* — it serves a baked snapshot of real scan grades with explicit per-record provenance, so no database or network is needed.

mcp-trust mcp-serve          # from a source/dev install (works today)

uvx mcp-trust mcp-serve # once published to PyPI

ToolDescription
list_serversEvery graded MCP server with its A-F grade, transparency, and danger score.
check_serverFull grade, risk dimensions, and findings for one server by slug.
get_methodologyHow the A-F grade and transparency axis are computed, plus the honesty model.

The MCP runtime admits the packaged catalog only after deterministic schema-v2 validation, including duplicate-key rejection, required field/type checks, unique slugs and source coordinates, supported enums, sandbox/scan-mode agreement, and timezone-aware scan timestamps. Admission also binds grade to danger score, transparency to annotation coverage, and critical findings to the grade cap. Raw JSON is limited to 1 MiB, with deterministic server, finding, tool, and public-string ceilings. Schema v2 preserves additive unknown fields; missing or invalid required fields and unknown schema versions fail closed.

If catalog admission fails, list_servers and check_server serve zero records and return mcp-trust-mcp-error.v1 with status UNKNOWN, error code CATALOG_SNAPSHOT_INVALID, sorted reason codes, and server_count_served: 0. get_methodology remains available. This boundary checks internal consistency; it does not prove snapshot authenticity, authorship, immutability, or freshness.

Offline consumers can add those missing publication checks with mcp-trust verify-snapshot: a detached Ed25519 statement binds the exact snapshot bytes, publisher ID, bounded issue/expiry window, monotonic publication ID, and prior consumer checkpoint. The consumer must independently pin the trust-root SHA-256 and preserve the returned checkpoint for rollback resistance. Invalid, expired, unknown-signer, forked, or rolled-back inputs return only UNKNOWN reason codes and no grades. See docs/OFFLINE-SNAPSHOT-TRUST-V1.md. Statement freshness proves recent publication authorization, not a recent scan; the per-record scan timestamp and 90-day stale policy remain separate checks.

No production trust root, signing key, statement, or checkpoint ships today, so the built-in MCP snapshot remains structural-only unless a consumer separately supplies and pins those inputs. Test fixture keys are not publication keys.

Connecting an MCP server hands it influence over what your agent does. Tool poisoning, prompt injection, over-broad permissions, and rug-pull tool mutations are documented attack classes -- and today there's no quick way to vet a server before you wire it in. MCP Trust Registry scans public MCP servers and gives each one a single readable danger grade (A-F), a separate transparency signal, and the findings behind them.

Think OSV.dev / Socket.dev / haveibeenpwned, scoped to MCP servers.

Prerequisites

  • Python 3.12 or newer; .python-version pins 3.15.0 for local setup
  • uv (used for dependency management and running the project)

The project requires uv==0.13.0. Run the commands below from the repository root; uv sync creates the project virtualenv using the committed lockfile.

MCP config portability studio

Render one versioned, secret-placeholder-only MCP connection intent into staged Codex, Claude Code, Claude Desktop, or VS Code configuration and receive an explicit semantic loss/widening report:

uv run --frozen --extra dev mcp-trust portability validate \

tests/fixtures/portability/local-stdio.json uv run --frozen --extra dev mcp-trust portability round-trip \ tests/fixtures/portability/local-stdio.json --host codex

The studio is local-only. It never discovers or edits a real host config, launches an MCP server, contacts a URL, or emits modeled secret values. Generated configuration proves only documented host-format compatibility, not a runtime connection or adoption. See docs/MCP-CONFIG-PORTABILITY-STUDIO.md.

How it works

register a server  ->  scan via engine  ->  derive grade  ->  persist  ->  serve at a stable URL

The registry does not reimplement vulnerability detection. It orchestrates a pluggable scan engine -- the shipping backend wraps the public mcp-audits (>=2.7.0,<3) package -- and owns the catalog, the public trust-grade normalization, persistence, and the lookup API.

Quickstart

git clone https://github.com/saagpatel/mcp-trust.git

cd mcp-trust uv sync --frozen --extra dev

demo_dir="$(mktemp -d)" uv run --no-sync mcp-trust seed --db "$demo_dir/registry.db" env -u MCP_TRUST_RECEIPTS_DIR uv run --no-sync mcp-trust scan \ mcp-reference-time --engine stub --db "$demo_dir/registry.db" uv run --no-sync mcp-trust check mcp-reference-time --db "$demo_dir/registry.db"

After dependency installation, this demo uses only a new temporary SQLite database and the explicit StubEngine; it launches no catalog server and its grades are demo data. --db avoids the default database and any operator MCP_TRUST_DB override; clearing MCP_TRUST_RECEIPTS_DIR avoids writing into an operator receipt directory.

To view this demo through the local API, optionally start a loopback-only, read-only server and stop it with Ctrl-C when finished:

MCP_TRUST_ENGINE=stub MCP_TRUST_PUBLIC_READONLY=1 \

MCP_TRUST_MASKED_GRADES="$PWD/masked-grades.json" \ uv run --no-sync mcp-trust serve --db "$demo_dir/registry.db" \ --host 127.0.0.1 --port 8000

Real-engine scans require the separately prepared [engine] environment, reviewed target, sandbox decision, and current qualification/preflight evidence in the operator runbook. They can launch server processes or contact remote endpoints and are outside this local demo and routine verification. See local development and verification for fixture checks.

API

MethodPathPurpose
GET/web -- public catalog page (grade + transparency per server)
GET/ui/servers/{slug}web -- server detail page + README badge-embed snippet
GET/healthzliveness
GET/serverscatalog + latest grade, provenance, and staleness per server (JSON)
GET/servers/{slug}full latest scan record + provenance/staleness and metadata (JSON)
POST/servers/{slug}/scanoperator scan trigger; public deployments disable this route
GET/servers/{slug}/badge.jsonshields.io-compatible README badge

Every server has two orthogonal signals: a danger grade (A-F) and a transparency level (high/medium/low, from annotation coverage). Automated grades are not endorsements, certifications, or claims that a server is malicious. A low grade on a low-transparency server means "cannot verify safe," not "known dangerous."

HTTP scan triggering is fail-closed by default. Public deployments should set MCP_TRUST_PUBLIC_READONLY=1, which makes POST /servers/{slug}/scan return 403 before any engine can run. Operator scans should normally run through the CLI against the persistent registry DB, not through public traffic.

For local API demos with the deterministic StubEngine, set MCP_TRUST_ALLOW_UNAUTHENTICATED_STUB_SCANS=1. Do not set that in public. Token-gated API scan triggering is still available for private operator surfaces by setting MCP_TRUST_SCAN_TOKEN and passing it as Authorization: Bearer or X-MCP-Trust-Scan-Token.

If the newest stored scan row is unreadable, API, web, static, badge, and snapshot projections fail closed to UNKNOWN; they never resurrect an older grade. Stored source/risk/finding/evidence JSON has a 1 MiB per-field admission ceiling, with bounded finding/tool collections and content-free diagnostics. An unreadable older row leaves a readable latest grade intact but makes scan history and grade-change claims explicitly UNKNOWN. Snapshot construction stops until unreadable history is repaired or dispositioned.

All public surfaces use one fail-closed freshness projection. Exactly 90 days after a scan is still FRESH; any later instant is STALE. Missing, malformed, or future scan times are UNKNOWN, with verdict fields withheld. Unscanned entries are NOT_APPLICABLE. Operator masking applies even when no scan exists and is never inferred from scan state. Static pages and badges are immutable historical evidence with a scan date or validity boundary; they do not promise request-time freshness. Danger, transparency, and evidence quality remain separate signals, and a grade is never an endorsement.

Set MCP_TRUST_RECEIPTS_DIR=/data/mcp-trust/receipts during real scan runs to archive a JSON receipt for each scan and store its portable artifact filename in report_ref.

Remote authorization metadata preflight

Remote Registry candidates can be checked for discoverable MCP authorization metadata without contacting the MCP endpoint or handling credentials. First build a candidate manifest from a previously saved official Registry response, then select one exact stable_id:

uv run python scripts/plan_registry_corpus.py \

--input path/to/saved-registry-response.json > /tmp/registry-candidates.json

uv run mcp-trust auth-posture com.example/remote@1.0.0 \ --manifest /tmp/registry-candidates.json \ --pretty

If a public WWW-Authenticate: Bearer challenge has already been obtained by a separate operator workflow, pass its value with --www-authenticate. Otherwise the command tries the MCP-required protected-resource well-known paths, followed by RFC 8414 and OpenID Connect authorization-server discovery in specification order.

The command emits McpAuthorizationPostureV1 JSON (contract 1.1.0, additive). It reads against the MCP 2026-07-28 authorization profile and still accepts servers that only meet 2025-11-25. Per authorization server it records whether RFC 9207 iss support is advertised, whether Client ID Metadata Documents are supported, and that the metadata issuer matched; a server that offers only Dynamic Client Registration (deprecated in 2026-07-28) gets a deprecated_registration note, not a failure. Exit 0 and state=metadata-ready mean only that at least one authorization server exposes the endpoints and PKCE S256 metadata needed for policy review. They do not prove authorization, credential availability, runtime security, scan eligibility, or a trust grade. Unknown or invalid evidence exits 1 and stays blocked; an invalid local manifest binding exits 2.

The network boundary is deliberately narrow: HTTPS metadata GETs only, no ambient proxies, redirects, credentials, endpoint session, or writes. DNS is resolved once per request; every answer must be globally routable, and the connection is pinned to an accepted address while TLS validation and SNI remain bound to the original hostname. Response bodies are size-bounded, validated, and represented in output only by byte count and SHA-256. Successful metadata

只显示了开头部分;其余内容请在仓库中阅读