Server definition

Hash: sha256:c9736c45693c922a0de1c6fcc4720a0472eed74451137655a27f6f6e5de5ab03
What it is: What a remote MCP server returned when asked what it offers: 4 tools

The blob, as servednamed by its sha256

{
  "instructions": "Customer feedback intelligence for developers and AI agents. 4 tools: synthesize_feedback ($0.05), get_pain_points ($0.02), search_feedback ($0.01), get_sentiment_trends ($0.03). x402 payment required (USDC on Base mainnet).",
  "tools": [
    {
      "description": "Quick single-source pain point extraction.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "max_items": {
            "default": 50,
            "description": "Max feedback items to analyze (default 50).",
            "type": "integer"
          },
          "source": {
            "additionalProperties": true,
            "description": "Source config with \"type\" (github_issues, hackernews, appstore) and \"target\".",
            "type": "object"
          },
          "top_n": {
            "default": 10,
            "description": "Number of top pain points to return (default 10).",
            "type": "integer"
          }
        },
        "required": [
          "source"
        ],
        "type": "object"
      },
      "name": "get_pain_points",
      "outputSchema": {
        "additionalProperties": true,
        "type": "object"
      }
    },
    {
      "description": "Time-series sentiment analysis across feedback sources.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "granularity": {
            "default": "weekly",
            "description": "Time granularity — \"weekly\" or \"monthly\" (default \"weekly\").",
            "type": "string"
          },
          "since": {
            "default": "",
            "description": "Only include feedback after this date (ISO 8601).",
            "type": "string"
          },
          "sources": {
            "description": "List of source configs. Each must have \"type\" and \"target\".",
            "items": {
              "additionalProperties": true,
              "type": "object"
            },
            "type": "array"
          }
        },
        "required": [
          "sources"
        ],
        "type": "object"
      },
      "name": "get_sentiment_trends",
      "outputSchema": {
        "additionalProperties": true,
        "type": "object"
      }
    },
    {
      "description": "Full-text search across cached feedback items.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "limit": {
            "default": 20,
            "description": "Max results to return (default 20).",
            "type": "integer"
          },
          "query": {
            "description": "Search query string.",
            "type": "string"
          },
          "since": {
            "default": "",
            "description": "Only include items after this date (ISO 8601, e.g. \"2025-01-01\").",
            "type": "string"
          },
          "source": {
            "anyOf": [
              {
                "type": "string"
              },
              {
                "type": "null"
              }
            ],
            "default": null,
            "description": "Singular alias for sources — accepts a single source type string.\nIf both source and sources are provided, sources takes precedence."
          },
          "sources": {
            "anyOf": [
              {
                "items": {
                  "type": "string"
                },
                "type": "array"
              },
              {
                "type": "null"
              }
            ],
            "default": null,
            "description": "Optional list of source types to filter (e.g. [\"github_issues\"], [\"github\"]).\nAccepted values: github_issues (or \"github\"), hackernews, appstore."
          },
          "target": {
            "default": "",
            "description": "Optional target filter (e.g. \"owner/repo\" or app ID).",
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "search_feedback",
      "outputSchema": {
        "additionalProperties": true,
        "type": "object"
      }
    },
    {
      "description": "Multi-source feedback synthesis into ranked pain clusters.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "focus": {
            "default": "",
            "description": "Optional focus area to prioritize (e.g. \"performance\", \"onboarding\").",
            "type": "string"
          },
          "max_items_per_source": {
            "default": 100,
            "description": "Max feedback items per source (default 100).",
            "type": "integer"
          },
          "since": {
            "default": "",
            "description": "Only include feedback after this date (ISO 8601, e.g. \"2025-01-01\").",
            "type": "string"
          },
          "sources": {
            "description": "List of source configs. Each must have \"type\" (github_issues, hackernews, appstore) and \"target\" (e.g. \"owner/repo\", \"product name\", app ID).",
            "items": {
              "additionalProperties": true,
              "type": "object"
            },
            "type": "array"
          }
        },
        "required": [
          "sources"
        ],
        "type": "object"
      },
      "name": "synthesize_feedback",
      "outputSchema": {
        "additionalProperties": true,
        "type": "object"
      }
    }
  ]
}

Verify it yourself

curl -s https://api.teppi.xyz/v1/evidence/sha256:c9736c45693c922a0de1c6fcc4720a0472eed74451137655a27f6f6e5de5ab03 | sha256sum