Koskamo

Clarity Decision Matrix MCP

A weighted decision matrix tool that allows users to compare choices, handle benefit and cost criteria, rank alternatives with tie handling, inspect criterion contributions, find pairwise break-even weights, and compare up to four weight scenarios with CSV download capabilities.

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Endpoint and access

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Clarity Decision Matrix MCP logo, by ZovoCommunity listingStreamable HTTPNo sign-inEndpoint checked 2026-11-01Published by Zovo
MCP endpoint (Streamable HTTP)
https://decision-matrix.zovo.one/mcp
Vendor documentation

What you can do with it

  • Compare weighted choices and test assumptions
  • Rank alternatives with equal ranks for ties
  • Find pairwise break-even weight shares
  • Compare up to four weight scenarios and download CSV

Source and maintenance

Community listingRegistry 1.0.0
mcp-registry: io.github.theluckystrike/decision-matrix@1.0.0Project website

Protocol and capabilities

Server
decision-matrix 1.0.0
MCP protocol
2025-06-18
Tools
1 advertised
Resources
1 advertised
Resource templates
1 advertised
Prompts
Not advertised
Server-advertised capabilities
{
  "tools": {
    "listChanged": true
  },
  "resources": {
    "listChanged": true
  }
}

Server-provided instructions

Untrusted server output shown for inspection. It is not Koskamo guidance and is excluded from knowledge search.

Rank explicit alternatives using user-provided criterion weights and scores on a fixed zero-to-one-hundred scale. Do not invent scores or infer factual performance. Cost criteria favor lower scores. Treat ties equally. Break-even thresholds are pairwise comparisons against the first baseline winner, not an overall recommendation.

Tools

1 advertised

calculate_decision_matrix — Calculate decision matrix
Advertised by the server during the last successful anonymous check.
Advertised read-only

Use this when the user wants a weighted decision matrix, scored comparison, alternative ranking, or weight sensitivity analysis with explicit criteria, weights and scores. Accepts two to twenty options and one to eight criteria. Scores use a fixed zero-to-one-hundred scale; benefit means higher is better and cost means lower is better. Returns normalized weights, exact rankings and ties, pairwise break-even shares, up to four explicit weight scenarios and CSV. Does not research options, invent scores, infer preferences or predict outcomes.

calculate_decision_matrix input schema
{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "criteria",
    "options"
  ],
  "properties": {
    "title": {
      "type": "string",
      "maxLength": 80,
      "description": "Comparison title, e.g. Supplier shortlist."
    },
    "options": {
      "type": "array",
      "items": {
        "type": "object",
        "required": [
          "name",
          "scores"
        ],
        "properties": {
          "name": {
            "type": "string",
            "maxLength": 50,
            "minLength": 1,
            "description": "Unique alternative name, e.g. Supplier A."
          },
          "scores": {
            "type": "array",
            "items": {
              "type": "number",
              "maximum": 100,
              "minimum": 0,
              "description": "A fixed-scale rating, with at most three decimal places, e.g. 80."
            },
            "maxItems": 8,
            "minItems": 1,
            "description": "One rating per criterion, in criterion order, e.g. [80,40]. Use comparable fixed-scale ratings, not raw mixed units."
          }
        }
      },
      "maxItems": 20,
      "minItems": 2,
      "description": "Alternatives with supplied ratings, e.g. [{\"name\":\"A\",\"scores\":[80,40]},{\"name\":\"B\",\"scores\":[60,20]}]."
    },
    "criteria": {
      "type": "array",
      "items": {
        "type": "object",
        "required": [
          "name",
          "weight"
        ],
        "properties": {
          "name": {
            "type": "string",
            "maxLength": 40,
            "minLength": 1,
            "description": "Unique criterion name, e.g. Quality."
          },
          "weight": {
            "type": "number",
            "maximum": 1000,
            "minimum": 0,
            "description": "Nonnegative importance weight, at most three decimal places, e.g. 60. Weights need not sum to one hundred."
          },
          "direction": {
            "enum": [
              "benefit",
              "cost"
            ],
            "type": "string",
            "default": "benefit",
            "description": "benefit favors higher scores; cost favors lower scores, e.g. cost for expense. Scores remain on the zero-to-one-hundred scale."
          }
        }
      },
      "maxItems": 8,
      "minItems": 1,
      "description": "Criteria in the same order as each option score array, e.g. [{\"name\":\"Quality\",\"weight\":60,\"direction\":\"benefit\"},{\"name\":\"Expense\",\"weight\":40,\"direction\":\"cost\"}]."
    },
    "scenarios": {
      "type": "array",
      "items": {
        "type": "object",
        "required": [
          "label",
          "weights"
        ],
        "properties": {
          "label": {
            "type": "string",
            "maxLength": 40,
            "minLength": 1,
            "description": "Scenario name, e.g. Cost emphasis."
          },
          "weights": {
            "type": "array",
            "items": {
              "type": "number",
              "maximum": 1000,
              "minimum": 0,
              "description": "Scenario importance weight, e.g. 80."
            },
            "maxItems": 8,
            "minItems": 1,
            "description": "Replacement weights in criterion order, e.g. [20,80]. At least one must be positive."
          }
        }
      },
      "maxItems": 4,
      "description": "Optional explicit weight scenarios, e.g. [{\"label\":\"Cost emphasis\",\"weights\":[20,80]}]."
    }
  }
}
calculate_decision_matrix output schema
{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "title",
    "criteria",
    "winners",
    "tied",
    "winner_count",
    "winners_preview_only",
    "option_count",
    "ranking",
    "preview_only",
    "sensitivity",
    "sensitivity_preview_only",
    "scenarios",
    "notes",
    "downloads"
  ],
  "properties": {
    "tied": {
      "type": "boolean"
    },
    "notes": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "title": {
      "type": "string"
    },
    "ranking": {
      "type": "array",
      "items": {
        "type": "object",
        "propertyNames": {
          "type": "string"
        },
        "additionalProperties": {}
      }
    },
    "winners": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "criteria": {
      "type": "array",
      "items": {
        "type": "object",
        "propertyNames": {
          "type": "string"
        },
        "additionalProperties": {}
      }
    },
    "downloads": {
      "type": "object",
      "required": [
        "csv"
      ],
      "properties": {
        "csv": {
          "type": "string"
        }
      },
      "additionalProperties": false
    },
    "scenarios": {
      "type": "array",
      "items": {
        "type": "object",
        "propertyNames": {
          "type": "string"
        },
        "additionalProperties": {}
      }
    },
    "sensitivity": {
      "type": "array",
      "items": {
        "type": "object",
        "propertyNames": {
          "type": "string"
        },
        "additionalProperties": {}
      }
    },
    "option_count": {
      "type": "number"
    },
    "preview_only": {
      "type": "boolean"
    },
    "winner_count": {
      "type": "number"
    },
    "winners_preview_only": {
      "type": "boolean"
    },
    "sensitivity_preview_only": {
      "type": "boolean"
    }
  },
  "additionalProperties": false
}
calculate_decision_matrix annotations
{
  "title": "Calculate decision matrix",
  "readOnlyHint": true,
  "openWorldHint": false,
  "idempotentHint": true,
  "destructiveHint": false
}

Prompts

Not advertised

No prompt definitions available.

Resources

1 advertised

decision-matrix-widget — Clarity Decision Matrix view

Advertised by the server during the last successful anonymous check.

Interactive view for Clarity Decision Matrix.

decision-matrix-widget URI
ui://widget/decision-matrix-v1-1.0.0-dc4a03f49a135901e05b08e27721a2508e3da95f466f83f7c25759e83f68d5bc.html

MIME type: text/html;profile=mcp-app

decision-matrix-widget-legacy — Clarity Decision Matrix view (previous versions)

Advertised by the server during the last successful anonymous check.

decision-matrix-widget-legacy URI template
ui://widget/decision-matrix-{version}.html

MIME type: text/html;profile=mcp-app

30-day availability

Aggregated from read-only remote checks; this is not a tool-execution or security guarantee.

Successful checks
1 of 1 (100%)
Average latency
484 ms
95th percentile latency
484 ms

Maintenance history

Public check and source-refresh events. Editorial and ownership records remain private.

  • · probe · passed · 484 ms · metadata changed · 1 tool(s), 1 resource(s), 1 resource template(s)

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers the remote server. Use --scope project to write .mcp.json for the repo.
Claude Code configuration
claude mcp add --transport http clarity-decision-matrix-mcp https://decision-matrix.zovo.one/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).
Codex configuration
codex mcp add clarity-decision-matrix-mcp --url https://decision-matrix.zovo.one/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable clarity-decision-matrix-mcp in your MCP settings.
Cursor configuration
{
  "mcpServers": {
    "clarity-decision-matrix-mcp": {
      "url": "https://decision-matrix.zovo.one/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure).
Cline configuration
{
  "mcpServers": {
    "clarity-decision-matrix-mcp": {
      "type": "streamableHttp",
      "url": "https://decision-matrix.zovo.one/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start clarity-decision-matrix-mcp and inspect its tools.
VS Code configuration
{
  "servers": {
    "clarity-decision-matrix-mcp": {
      "type": "http",
      "url": "https://decision-matrix.zovo.one/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.
Gemini CLI configuration
gemini mcp add --transport http clarity-decision-matrix-mcp https://decision-matrix.zovo.one/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.
Claude Desktop configuration
{
  "mcpServers": {
    "clarity-decision-matrix-mcp": {
      "url": "https://decision-matrix.zovo.one/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.
Windsurf configuration
{
  "mcpServers": {
    "clarity-decision-matrix-mcp": {
      "serverUrl": "https://decision-matrix.zovo.one/mcp"
    }
  }
}

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