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8 clients · secrets stay placeholders

JSON (mcpServers)Claude CodeCodexOpenCodeCursorVS CodeGemini CLIGoose

{
  "mcpServers": {
    "review-intelligence": {
      "type": "http",
      "url": "https://mcp.wizerapi.com/reviews",
      "headers": {
        "Authorization": "Bearer ${REVIEW_INTELLIGENCE_TOKEN}"
      }
    }
  }
}

claude mcp add --transport http review-intelligence https://mcp.wizerapi.com/reviews --header "Authorization: Bearer ${REVIEW_INTELLIGENCE_TOKEN}"

[mcp_servers.review-intelligence]
url = "https://mcp.wizerapi.com/reviews"
bearer_token_env_var = "REVIEW_INTELLIGENCE_TOKEN"

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "review-intelligence": {
      "type": "remote",
      "url": "https://mcp.wizerapi.com/reviews",
      "enabled": true,
      "headers": {
        "Authorization": "Bearer {env:REVIEW_INTELLIGENCE_TOKEN}"
      }
    }
  }
}

{
  "mcpServers": {
    "review-intelligence": {
      "type": "http",
      "url": "https://mcp.wizerapi.com/reviews",
      "headers": {
        "Authorization": "Bearer ${REVIEW_INTELLIGENCE_TOKEN}"
      }
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=review-intelligence&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbWNwLndpemVyYXBpLmNvbS9yZXZpZXdzIiwiaGVhZGVycyI6eyJBdXRob3JpemF0aW9uIjoiQmVhcmVyICR7UkVWSUVXX0lOVEVMTElHRU5DRV9UT0tFTn0ifX0%3D"
}

{
  "servers": {
    "review-intelligence": {
      "type": "http",
      "url": "https://mcp.wizerapi.com/reviews",
      "headers": {
        "Authorization": "Bearer ${REVIEW_INTELLIGENCE_TOKEN}"
      }
    }
  }
}

{
  "mcpServers": {
    "review-intelligence": {
      "httpUrl": "https://mcp.wizerapi.com/reviews",
      "headers": {
        "Authorization": "Bearer ${REVIEW_INTELLIGENCE_TOKEN}"
      }
    }
  }
}

extensions:
  "review-intelligence":
    enabled: true
    name: "review-intelligence"
    type: streamable_http
    uri: "https://mcp.wizerapi.com/reviews"
    headers:
      "Authorization": "Bearer ${REVIEW_INTELLIGENCE_TOKEN}"
    timeout: 300

Placeholders to fill from your own secret store: ${REVIEW_INTELLIGENCE_TOKEN}. The registry never accepts secret values.

Quality 73 / 100needs work

protocol75 · weight 25

warn
protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
n/a
protocol.statelessonly applies to 2026-07-28 servers
pass
protocol.transportstreamable HTTP
n/a
protocol.list_ttlonly applies to 2026-07-28 servers

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 hygiene71 · weight 30

pass
tools.descriptionsevery tool has a description
pass
tools.description_lengthdescriptions are concise
pass
tools.schemasevery tool has an object input schema
fail
tools.annotationsno tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky ones
fail
tools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: check_usage (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); analyze_review (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); extract_themes (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); …
pass
tools.token_costabout 1,015 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stabilityn/a · weight 15

n/a
stability.changes, stability.rug_pulltool history recorded for 1 of the 7 days needed

dependenciesn/a · weight 15

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

5 tools, about 1,015 tokens to load them all · tool set f769effc9922 · checked 2026-10-19 15:48 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 81 / 100

provenance85

liveness75

freshness65

hygiene100

+repository +dns-namespace +website +reachable +uptime-38% ~updated-95d-ago

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

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://mcp.wizerapi.com/reviews` streamable-http	api_key `${REVIEW_INTELLIGENCE_TOKEN}`	yes	38%	354 ms	2025-11-25	2026-10-19

Tools (5)

`analyze_review`	Analyze ONE customer review and get structured JSON: sentiment (score -1..1, label, confidence), dominant emotion, topics, detected language, and optionally a suggested reply (set options.suggest_reply, pick options.reply_tone: professional \| friendly \| apologetic \| concise). Input: review text up to 10,000 chars, optional 0-5 rating and source. METERED: costs 1 AU + 1 AU per 4,000 input chars (a 300-char review ≈ 1.08 AU); byte-identical repeat input is served from cache for 0 AU. Every result reports its au_cost. For many reviews, prefer extract_themes/summarize_reviews over looping this tool one review at a time.
`check_usage`	Check the current billing period usage for YOUR WizerAPI organization: plan, included AU, used AU, remaining AU, overage so far, and the per-minute rate limit. Costs 0 AU and is never blocked by the session budget. Call this BEFORE large metered jobs (theme extraction over many reviews, long contracts) to confirm quota headroom, and AFTER quota errors to see where you stand.
`draft_reply`	Draft a customer-facing reply to ONE review in a chosen tone (professional \| friendly \| apologetic \| concise, default professional). Input: review text up to 10,000 chars, optional 0-5 rating for context. Returns the reply text and tone. METERED: costs 1 AU + 1 AU per 4,000 input chars (~1 AU for a short review). Every result reports its au_cost. If you also need sentiment/topics for the same review, call analyze_review with options.suggest_reply instead of calling both tools.
`extract_themes`	Cluster a SET of reviews into recurring themes, each with a label, frequency, theme sentiment, and example quotes. Input: 1-1,000 review strings, each up to 2,000 chars; optional max_themes (1-50, default 8). Use this ONE call instead of looping analyze_review when you need patterns across many reviews. METERED: costs 4 AU + 1 AU per 1,250 total input chars (100 reviews × 300 chars ≈ 28 AU) — check_usage first for large sets. Every result reports its au_cost.
`summarize_reviews`	Produce an executive digest of a review SET: headline, highlights, lowlights, and recommended actions. Input: 1-1,000 review strings, each up to 2,000 chars; optional audience (default "product_team") to slant the writeup. Use for leadership-ready takeaways; use extract_themes when you need per-theme frequencies instead. METERED: costs 6 AU + 1 AU per 1,250 total input chars (50 reviews × 300 chars ≈ 18 AU) — check_usage first for large sets. Every result reports its au_cost.

Schemas: list_tools.

Also listed as

1 other active names share this repository: com.wizerapi/contract-intelligence

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Official server.json

{
  "name": "com.wizerapi/review-intelligence",
  "title": "WizerAPI Review Intelligence",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://mcp.wizerapi.com/reviews",
      "type": "streamable-http",
      "headers": [
        {
          "name": "Authorization",
          "isSecret": true,
          "isRequired": true,
          "description": "Bearer token with your Review Intelligence key (rik_). Free: 100 AU/mo, no card.",
          "placeholder": "Bearer rik_..."
        }
      ]
    }
  ],
  "version": "1.0.0",
  "repository": {
    "url": "https://github.com/wizerai1111/wizerapi",
    "source": "github"
  },
  "websiteUrl": "https://wizerapi.com",
  "description": "Analyze customer reviews: sentiment, emotion, topics, themes, digests, and drafted replies."
}