{
  "data": {
    "tool": {
      "category": "inference",
      "endpoint": "https://modelpricewatch.com/mcp",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/modelpricewatch-mcp.json",
      "kind": "mcp",
      "listed": "indexed",
      "liveUrl": "https://www.anchorterminal.com/api/v1/live/modelpricewatch-mcp.json",
      "markdownUrl": "https://www.anchorterminal.com/tools/modelpricewatch-mcp.md",
      "mcpTools": {
        "check": {
          "checker": "anchor-check/1.0",
          "totalTokens": 620,
          "counts": {
            "error": 0,
            "note": 1,
            "warn": 4
          },
          "findings": [
            {
              "rule": "TC16",
              "severity": "warn",
              "tool": "cheapest_models",
              "message": "no readOnlyHint or destructiveHint",
              "fix": "Set readOnlyHint: true if it only reads; otherwise set destructiveHint and idempotentHint."
            },
            {
              "rule": "TC16",
              "severity": "warn",
              "tool": "get_model_pricing",
              "message": "no readOnlyHint or destructiveHint",
              "fix": "Its name starts with \"get\"; if it only reads, set readOnlyHint: true so harnesses can run it without asking."
            },
            {
              "rule": "TC16",
              "severity": "warn",
              "tool": "list_providers",
              "message": "no readOnlyHint or destructiveHint",
              "fix": "Its name starts with \"list\"; if it only reads, set readOnlyHint: true so harnesses can run it without asking."
            },
            {
              "rule": "TC16",
              "severity": "warn",
              "tool": "search_models",
              "message": "no readOnlyHint or destructiveHint",
              "fix": "Its name starts with \"search\"; if it only reads, set readOnlyHint: true so harnesses can run it without asking."
            },
            {
              "rule": "TC24",
              "severity": "note",
              "message": "4 of 4 tools have no outputSchema",
              "fix": "Declare outputSchema for tools that return structured data, and return structuredContent that matches it."
            }
          ]
        },
        "checkedAt": "2026-10-04T22:23:26Z",
        "count": 4,
        "note": "answered without the initialize handshake",
        "schemaTokens": 620,
        "status": "ok",
        "tools": [
          {
            "name": "search_models",
            "title": "Search models",
            "description": "Search the live LLM pricing database by model name, provider, or id. Returns matching models with current input/output prices (USD per 1M tokens), context window, modality, and category. Use this to answer 'how much does \u003cmodel\u003e cost' or 'what models does \u003cprovider\u003e offer'.",
            "inputSchema": {
              "properties": {
                "category": {
                  "description": "Filter by category, e.g. flagship, reasoning, budget, coding, embedding, fast, mid-tier.",
                  "type": "string"
                },
                "limit": {
                  "description": "Max results (default 20, max 50).",
                  "type": "number"
                },
                "open_source": {
                  "description": "If true, only open-source/open-weight models; if false, only proprietary.",
                  "type": "boolean"
                },
                "query": {
                  "description": "Free-text match against model name, provider, or id (e.g. 'claude', 'gpt-5', 'gemini flash'). Omit to list all.",
                  "type": "string"
                }
              },
              "type": "object"
            }
          },
          {
            "name": "get_model_pricing",
            "title": "Get model pricing",
            "description": "Get full pricing and capability details for one model by its id (from search_models). Returns input/output/cached price per 1M tokens, blended cost, context window, modality, release date, and the modelpricewatch.com page URL.",
            "inputSchema": {
              "properties": {
                "model_id": {
                  "description": "The model id, e.g. 'anthropic-claude-opus-4-8' or 'openai-gpt-5-5'. Get ids from search_models.",
                  "type": "string"
                }
              },
              "required": [
                "model_id"
              ],
              "type": "object"
            }
          },
          {
            "name": "cheapest_models",
            "title": "Find cheapest models",
            "description": "Find the cheapest current models, ranked by input price, output price, or a blended cost. The generic ranking covers generative text models (embeddings, OCR and realtime models are excluded — they price different work); pass category to rank a specific pool instead, e.g. 'embedding'. Use to answer 'what is the cheapest model for \u003cuse case\u003e'.",
            "inputSchema": {
              "properties": {
                "category": {
                  "description": "Filter by category, e.g. flagship, reasoning, budget, coding, embedding.",
                  "type": "string"
                },
                "limit": {
                  "description": "How many to return (default 10, max 50).",
                  "type": "number"
                },
                "open_source": {
                  "description": "If true, only open-source models.",
                  "type": "boolean"
                },
                "sort_by": {
                  "description": "Ranking metric: 'input', 'output', or 'blended' (default 'blended').",
                  "type": "string"
                }
              },
              "type": "object"
            }
          },
          {
            "name": "list_providers",
            "title": "List providers",
            "description": "List all tracked AI model providers (OpenAI, Anthropic, Google, etc.) with a short description and their pricing page.",
            "inputSchema": {
              "properties": {},
              "type": "object"
            }
          }
        ]
      },
      "name": "modelpricewatch.com MCP server",
      "note": "Indexed from the official MCP registry: facts and our own checks, not reviewed, so no score, grade or rank.",
      "packages": [
        {
          "registryType": "npm",
          "identifier": "@modelpricewatch/mcp",
          "version": "1.0.0",
          "transport": "stdio"
        }
      ],
      "pageJsonUrl": "https://www.anchorterminal.com/tools/modelpricewatch-mcp.json",
      "popularity": {
        "npmWeekly": 24
      },
      "registryName": "com.modelpricewatch/mcp",
      "remotes": [
        {
          "type": "streamable-http",
          "url": "https://modelpricewatch.com/mcp"
        }
      ],
      "repository": "",
      "reviewed": false,
      "slug": "modelpricewatch-mcp",
      "source": "the official MCP registry",
      "sourceUrl": "https://registry.modelcontextprotocol.io/v0.1/servers?search=com.modelpricewatch/mcp",
      "summary": "Live LLM API pricing: token prices, comparisons, cheapest-model lookups. No key required.",
      "updatedAt": "2026-07-04T16:09:48Z",
      "url": "https://www.anchorterminal.com/tools/modelpricewatch-mcp",
      "vendor": "modelpricewatch.com",
      "vendorUrl": "https://modelpricewatch.com/api/",
      "version": "1.0.0",
      "websiteUrl": "https://modelpricewatch.com/api/",
      "where": "both",
      "why": [
        "vendor"
      ]
    }
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/tools/modelpricewatch-mcp",
    "json": "https://www.anchorterminal.com/tools/modelpricewatch-mcp.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/tools/modelpricewatch-mcp.md",
    "slim": "https://www.anchorterminal.com/tools/modelpricewatch-mcp.min.md"
  },
  "markdown": "# modelpricewatch.com MCP server\n\n\u003e Indexed, not reviewed: facts from the official MCP registry and our own checks. No score, grade or rank, and not in the rankings until the panel reviews it. How the index works: https://www.anchorterminal.com/indexed/\n\n- Kind: MCP server, by modelpricewatch.com (https://modelpricewatch.com/api/)\n- Category: Model APIs \u0026 inference (https://www.anchorterminal.com/categories/inference.md)\n- Listed because: It's published in the registry under modelpricewatch.com, a namespace the registry only gives to whoever proves they control that domain.\n- What the official MCP registry says: Live LLM API pricing: token prices, comparisons, cheapest-model lookups. No key required.\n\n## Facts\n\n- MCP registry: `com.modelpricewatch/mcp` 1.0.0\n- Endpoint: https://modelpricewatch.com/mcp (streamable HTTP)\n- Package: npm `@modelpricewatch/mcp` (stdio)\n- Website: https://modelpricewatch.com/api/\n- npm downloads a week: 24\n- Registry entry updated: 2026-07-04\n\n## Tools\n\n- Tools it lists (4, about 620 tokens of context, `tools/list` without credentials, checked 2026-10-04 22:23 UTC):\n  - `search_models`: Search the live LLM pricing database by model name, provider, or id. Returns matching models with current input/output prices (USD per 1M tokens), context…\n  - `get_model_pricing`: Get full pricing and capability details for one model by its id (from search_models). Returns input/output/cached price per 1M tokens, blended cost, context…\n  - `cheapest_models`: Find the cheapest current models, ranked by input price, output price, or a blended cost. The generic ranking covers generative text models (embeddings, OCR…\n  - `list_providers`: List all tracked AI model providers (OpenAI, Anthropic, Google, etc.) with a short description and their pricing page.\n- How its tools read to an agent (0 errors, 4 warnings, 1 note, about 620 tokens; rules at https://www.anchorterminal.com/check.md; not part of the score):\n  - warn TC16 cheapest_models: no readOnlyHint or destructiveHint\n  - warn TC16 get_model_pricing: no readOnlyHint or destructiveHint\n  - warn TC16 list_providers: no readOnlyHint or destructiveHint\n  - warn TC16 search_models: no readOnlyHint or destructiveHint\n  - note TC24 server: 4 of 4 tools have no outputSchema\n\n- JSON: https://www.anchorterminal.com/api/v1/tools/modelpricewatch-mcp.json\n- Being indexed says nothing about quality, and nobody can pay for it. Ask for a review: https://www.anchorterminal.com/builders/#claiming\n",
  "meta": {
    "attribution": "Anchor Terminal (https://www.anchorterminal.com)",
    "docs": "https://www.anchorterminal.com/docs/",
    "generatedAt": "2026-10-04",
    "license": "CC-BY-4.0",
    "method": "https://www.anchorterminal.com/benchmark/",
    "methodology": "0.3",
    "openapi": "https://www.anchorterminal.com/openapi.json",
    "preview": false,
    "run": "2026-10-01",
    "runLabel": "October 2026 research run"
  },
  "page": {
    "breadcrumbs": [
      {
        "name": "Home",
        "url": "https://www.anchorterminal.com/"
      },
      {
        "name": "Terminal",
        "url": "https://www.anchorterminal.com/tools/"
      },
      {
        "name": "Indexed",
        "url": "https://www.anchorterminal.com/indexed/"
      },
      {
        "name": "modelpricewatch.com MCP server",
        "url": ""
      }
    ],
    "description": "modelpricewatch.com MCP server, an MCP server by modelpricewatch.com, listed from the official MCP registry. Indexed, not reviewed: facts and our own checks, no score or ranking. Live LLM API pricing: token prices, comparisons, cheapest-model lookups. No key required.",
    "facts": [
      "not reviewed",
      "not ranked",
      "facts only"
    ],
    "h1": "modelpricewatch.com MCP server",
    "image": "https://www.anchorterminal.com/assets/og/indexed.png",
    "path": "/tools/modelpricewatch-mcp",
    "published": "",
    "section": "indexed",
    "title": "modelpricewatch.com MCP server, indexed from the official MCP registry",
    "toc": null,
    "updated": "2026-10-04",
    "url": "https://www.anchorterminal.com/tools/modelpricewatch-mcp"
  },
  "tokens": {
    "markdown": 800,
    "slim": 730
  },
  "version": 1
}