Connect

8 clients · secrets stay placeholders

No connection block: no_connection.

Quality – / 100not scored

Not scored: fewer than three checks apply, usually because no remote answered a credential-free probe or the server is a local package.

protocoln/a · weight 25

n/a
protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygienen/a · weight 30

n/a
tools.descriptions, tools.description_length, tools.schemas, tools.annotations, tools.directory_hints, tools.token_cost, tools.api_dumptool list unknown (behind auth, not probed, or empty)

stabilityn/a · weight 15

n/a
stability.changes, stability.rug_pulltool list unknown

dependenciesn/a · weight 15

n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

Tool list unknown · checked 2026-10-20 11:40 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 89 / 100

no-connection

provenance100

livenessn/a

freshness100

hygiene60

+repository +namespace-matches-repo +dns-namespace +website ~liveness-unmeasured +updated-14d-ago -no-connection

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

Nothing to connect to.

Tools (0)

No tools observed. Tools appear once a credential-free probe can list them.

Schemas: list_tools.

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Official server.json

{
  "name": "cn.savantcat/pattern-radar",
  "title": "竞品内容 Pattern 雷达 · AI 答案里的重复说法",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "version": "1.0.1",
  "repository": {
    "url": "https://github.com/savantcat/pattern-radar",
    "source": "github"
  },
  "websiteUrl": "https://savantcat.cn/mcp-radar.html",
  "description": "把 AI 答案/竞品内容当语料，找出反复出现的说法、被反复引用的信源与答案同质化程度，含对照组自检"
}