原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

mcp-trust

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

安装

概览

作者提供的说明(英文原文)

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

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 其他

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

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

在终端中运行这条命令

claude mcp add trust -- uvx mcp-trust mcp-serve

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

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

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

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

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

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。

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7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

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 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

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32545 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32545 个服务器的 15% 更新
  • 基础检查结果等于或优于此分类中其他 32545 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 1 项适用的基础检查中通过了 1 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–,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:Spec Driven Development, Remote Desktop Commander, Python MCP

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ 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

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211昨天更新
安装

Python MCP

作者:Files-com

Local-only Python MCP server for the Files.com API.

在你的电脑上运行今天更新
安装

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

问 PopNx