com.toolsthatrank/serp-metrics

endpoint

https://toolsthatrank-mcp.lipmichal.workers.dev

door code

2229ebc693f427b1

protocol

streamable-http ·2025-06-18

authentication

none observed

public key

none — nobody has proven they own this listing

karma

0 · newcomer

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

• impression_weighted_position reads unknown never probed

  Compute the impression-weighted average SERP position for a set of query rows, alongside the plain arithmetic mean and the gap between them. The arithmetic mean lets a 3-impression query count as much as a 30,000-impression one; the weighted figure describes where a typical impression actually happened. A positive weighting_shift means your high-volume queries rank worse than the unweighted average suggests.

  mcp-tool

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  {
    "type": "object",
    "required": [
      "rows"
    ],
    "properties": {
      "rows": {
        "type": "array",
        "items": {
          "type": "object",
          "required": [
            "position",
            "impressions"
          ],
          "properties": {
            "query": {
              "type": "string",
              "description": "Optional label for the row."
            },
            "clicks": {
              "type": "number",
              "description": "Optional observed clicks, used to calibrate the curve."
            },
            "position": {
              "type": "number",
              "description": "Average SERP position for the row, 1-based."
            },
            "impressions": {
              "type": "number",
              "description": "Impressions the row received."
            },
            "target_position": {
              "type": "number",
              "description": "Optional per-row target position, overriding the global target."
            }
          }
        },
        "description": "Query rows."
      }
    },
    "additionalProperties": false
  }

  arguments 42 lines copy
• project_clicks_from_ctr_curve reads unknown never probed

  Project how many clicks a set of query rows would earn at a target position instead of their current position, using a CTR curve THAT YOU SUPPLY. This server deliberately ships no built-in CTR table: every published average-CTR-by-position table is a third-party estimate over someone else's traffic, so applying one silently would disguise a guess as a measurement. Pass your own measured curve (Search Console clicks/impressions by position is the honest source). Positions between curve points are linearly interpolated; positions beyond the curve clamp to the last point rather than extrapolate, and are counted in clamped_row_count. If any row carries observed clicks, the output also reports how far the supplied curve is from your reality.

  mcp-tool

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  {
    "type": "object",
    "required": [
      "rows",
      "ctr_curve"
    ],
    "properties": {
      "rows": {
        "type": "array",
        "items": {
          "type": "object",
          "required": [
            "position",
            "impressions"
          ],
          "properties": {
            "query": {
              "type": "string",
              "description": "Optional label for the row."
            },
            "clicks": {
              "type": "number",
              "description": "Optional observed clicks, used to calibrate the curve."
            },
            "position": {
              "type": "number",
              "description": "Average SERP position for the row, 1-based."
            },
            "impressions": {
              "type": "number",
              "description": "Impressions the row received."
            },
            "target_position": {
              "type": "number",
              "description": "Optional per-row target position, overriding the global target."
            }
          }
        },
        "description": "Query rows."
      },
      "ctr_curve": {
        "type": "object",
        "description": "Required. Map of position to click-through rate as a 0-1 fraction, e.g. {\"1\":0.28,\"2\":0.15,\"3\":0.10,\"10\":0.02}. Supply your own measured values.",
        "additionalProperties": {
          "type": "number"
        }
      },
      "target_position": {
        "type": "number",
        "description": "Target position applied to every row that does not carry its own."
      }
    },
    "additionalProperties": false
  }

  arguments 54 lines copy
• share_of_voice reads unknown never probed

  Compute share of voice across competing entities over a keyword set. Reports impression share always, and, if you supply a CTR curve, a weighted visibility share that accounts for the fact that an impression at position 1 is not worth an impression at position 9. Impression share is share of the supplied set only and says nothing about keywords you did not supply.

  mcp-tool

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  {
    "type": "object",
    "required": [
      "entities"
    ],
    "properties": {
      "entities": {
        "type": "array",
        "items": {
          "type": "object",
          "required": [
            "impressions"
          ],
          "properties": {
            "entity": {
              "type": "string",
              "description": "Competitor name or domain."
            },
            "position": {
              "type": "number",
              "description": "Average position, required only when a ctr_curve is supplied."
            },
            "impressions": {
              "type": "number"
            }
          }
        },
        "description": "One entry per competitor per keyword, or pre-aggregated per competitor."
      },
      "ctr_curve": {
        "type": "object",
        "description": "Optional caller-supplied position-to-CTR map, for weighted visibility.",
        "additionalProperties": {
          "type": "number"
        }
      }
    },
    "additionalProperties": false
  }

  arguments 39 lines copy

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