{
  "x402Version": 2,
  "id": 33905,
  "slug": "33905",
  "resource": "https://x402.agentindex.world/discover",
  "description": "Find MCP servers matching a need, ranked by semantic similarity over a curated snapshot of MCP servers. Returns name, endpoint, description, source registry and a 0-1 relevance per match. Paid POST: up to 25 matches. Try GET /discover/sample.",
  "type": "http",
  "serviceName": "mcp-discovery",
  "iconUrl": "https://res.cloudinary.com/bdb-prod/image/upload/c_fill,ar_1:1,w_256,h_256,f_auto,q_auto/v1790530885/bazaar-icons/fde5dd6af2b2b42f.png",
  "resourceType": "MCP Tool",
  "accepts": [
    {
      "scheme": "exact",
      "network": "eip155:8453",
      "payTo": "0xb3F32bdfe8D07825BC0D7387295aB1D7559BA69d",
      "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
      "amount": "1000",
      "amountUsd": 0.001,
      "maxTimeoutSeconds": 300
    }
  ],
  "outputSchema": {
    "properties": {
      "example": {
        "properties": {
          "matches": {
            "description": "Number of servers above the threshold before the top-N cut.",
            "type": "integer"
          },
          "min_similarity": {
            "description": "The similarity threshold applied.",
            "type": "number"
          },
          "q": {
            "description": "The query that was matched."
          },
          "results": {
            "description": "Best-matching MCP servers, most relevant first.",
            "items": {
              "properties": {
                "description": {
                  "description": "What the server does, as observed.",
                  "type": "string"
                },
                "name": {
                  "description": "Server name as observed.",
                  "type": "string"
                },
                "registry": {
                  "description": "Registry or listing where it was seen."
                },
                "relevance": {
                  "description": "Cosine similarity between the query and this server, 0 to 1.",
                  "type": "number"
                },
                "url": {
                  "description": "Endpoint URL, when one was observed."
                }
              },
              "type": "object"
            },
            "type": "array"
          },
          "snapshot_date": {
            "description": "Date the underlying MCP snapshot was taken.",
            "type": "string"
          },
          "snapshot_rows": {
            "description": "Number of MCP servers in the snapshot.",
            "type": "integer"
          }
        },
        "required": [
          "q",
          "results"
        ],
        "type": "object"
      },
      "type": {
        "type": "string"
      }
    },
    "required": [
      "type"
    ],
    "type": "object"
  },
  "extensions": {
    "bazaar": {
      "info": {
        "input": {
          "body": {
            "q": "read a PDF and give me markdown"
          },
          "bodyType": "json",
          "method": "POST",
          "type": "http"
        },
        "output": {
          "example": {
            "matches": 3,
            "min_similarity": 0.3,
            "q": "read a PDF and give me markdown",
            "results": [
              {
                "description": "Extract a public PDF into clean markdown text, plus metadata and a real token count.",
                "name": "PDF Extract MCP",
                "observed_at": "2026-09-02T19:07:49.374328Z",
                "registry": "registre-mcp",
                "relevance": 0.7211,
                "url": "https://example.org/mcp/"
              },
              {
                "description": "Document conversion to markdown and structured text for LLM agents.",
                "name": "Docling Server",
                "observed_at": "2026-09-10T12:00:00Z",
                "registry": "annuaire",
                "relevance": 0.6487,
                "url": null
              },
              {
                "description": "Deep code indexing for AI agents. FTS5 + embeddings + call graphs. Fully local.",
                "name": "Srclight",
                "observed_at": "2026-09-15T08:30:00Z",
                "registry": "registre-mcp",
                "relevance": 0.4102,
                "url": "https://example.com/mcp/"
              }
            ],
            "snapshot_date": "2026-09-18",
            "snapshot_rows": 10327
          },
          "type": "json"
        }
      },
      "schema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "input": {
            "additionalProperties": false,
            "properties": {
              "body": {
                "properties": {
                  "max_results": {
                    "description": "Maximum number of servers to return (default 5).",
                    "maximum": 25,
                    "minimum": 1,
                    "type": "integer"
                  },
                  "min_similarity": {
                    "description": "Minimum cosine similarity to include a result (default 0.30). Raise it for fewer, closer matches.",
                    "maximum": 1,
                    "minimum": 0,
                    "type": "number"
                  },
                  "q": {
                    "description": "The need to match, in plain language - e.g. \"read a PDF and give me markdown\" or \"persistent knowledge graph\". Matched against a curated snapshot of MCP servers (official registry + carnet) by semantic similarity.",
                    "type": "string"
                  }
                },
                "required": [
                  "q"
                ]
              },
              "bodyType": {
                "enum": [
                  "json",
                  "form-data",
                  "text"
                ],
                "type": "string"
              },
              "method": {
                "enum": [
                  "POST",
                  "PUT",
                  "PATCH"
                ],
                "type": "string"
              },
              "type": {
                "const": "http",
                "type": "string"
              }
            },
            "required": [
              "type",
              "method",
              "bodyType",
              "body"
            ],
            "type": "object"
          },
          "output": {
            "properties": {
              "example": {
                "properties": {
                  "matches": {
                    "description": "Number of servers above the threshold before the top-N cut.",
                    "type": "integer"
                  },
                  "min_similarity": {
                    "description": "The similarity threshold applied.",
                    "type": "number"
                  },
                  "q": {
                    "description": "The query that was matched."
                  },
                  "results": {
                    "description": "Best-matching MCP servers, most relevant first.",
                    "items": {
                      "properties": {
                        "description": {
                          "description": "What the server does, as observed.",
                          "type": "string"
                        },
                        "name": {
                          "description": "Server name as observed.",
                          "type": "string"
                        },
                        "registry": {
                          "description": "Registry or listing where it was seen."
                        },
                        "relevance": {
                          "description": "Cosine similarity between the query and this server, 0 to 1.",
                          "type": "number"
                        },
                        "url": {
                          "description": "Endpoint URL, when one was observed."
                        }
                      },
                      "type": "object"
                    },
                    "type": "array"
                  },
                  "snapshot_date": {
                    "description": "Date the underlying MCP snapshot was taken.",
                    "type": "string"
                  },
                  "snapshot_rows": {
                    "description": "Number of MCP servers in the snapshot.",
                    "type": "integer"
                  }
                },
                "required": [
                  "q",
                  "results"
                ],
                "type": "object"
              },
              "type": {
                "type": "string"
              }
            },
            "required": [
              "type"
            ],
            "type": "object"
          }
        },
        "required": [
          "input"
        ],
        "type": "object"
      }
    }
  },
  "tags": [
    "mcp",
    "discovery",
    "bazaar"
  ],
  "sourceHost": "x402.agentindex.world",
  "lastUpdated": "2026-10-07T20:00:44.541Z",
  "quality": {
    "calls30d": 4,
    "uniquePayers30d": 3,
    "lastCalledAt": "2026-10-07T20:00:44.064Z"
  },
  "metadata": {
    "serviceName": "mcp-discovery",
    "iconUrl": "https://res.cloudinary.com/bdb-prod/image/upload/c_fill,ar_1:1,w_256,h_256,f_auto,q_auto/v1790530885/bazaar-icons/fde5dd6af2b2b42f.png",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "q": "read a PDF and give me markdown"
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "matches": 3,
              "min_similarity": 0.3,
              "q": "read a PDF and give me markdown",
              "results": [
                {
                  "description": "Extract a public PDF into clean markdown text, plus metadata and a real token count.",
                  "name": "PDF Extract MCP",
                  "observed_at": "2026-09-02T19:07:49.374328Z",
                  "registry": "registre-mcp",
                  "relevance": 0.7211,
                  "url": "https://example.org/mcp/"
                },
                {
                  "description": "Document conversion to markdown and structured text for LLM agents.",
                  "name": "Docling Server",
                  "observed_at": "2026-09-10T12:00:00Z",
                  "registry": "annuaire",
                  "relevance": 0.6487,
                  "url": null
                },
                {
                  "description": "Deep code indexing for AI agents. FTS5 + embeddings + call graphs. Fully local.",
                  "name": "Srclight",
                  "observed_at": "2026-09-15T08:30:00Z",
                  "registry": "registre-mcp",
                  "relevance": 0.4102,
                  "url": "https://example.com/mcp/"
                }
              ],
              "snapshot_date": "2026-09-18",
              "snapshot_rows": 10327
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "properties": {
                    "max_results": {
                      "description": "Maximum number of servers to return (default 5).",
                      "maximum": 25,
                      "minimum": 1,
                      "type": "integer"
                    },
                    "min_similarity": {
                      "description": "Minimum cosine similarity to include a result (default 0.30). Raise it for fewer, closer matches.",
                      "maximum": 1,
                      "minimum": 0,
                      "type": "number"
                    },
                    "q": {
                      "description": "The need to match, in plain language - e.g. \"read a PDF and give me markdown\" or \"persistent knowledge graph\". Matched against a curated snapshot of MCP servers (official registry + carnet) by semantic similarity.",
                      "type": "string"
                    }
                  },
                  "required": [
                    "q"
                  ]
                },
                "bodyType": {
                  "enum": [
                    "json",
                    "form-data",
                    "text"
                  ],
                  "type": "string"
                },
                "method": {
                  "enum": [
                    "POST",
                    "PUT",
                    "PATCH"
                  ],
                  "type": "string"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method",
                "bodyType",
                "body"
              ],
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "properties": {
                    "matches": {
                      "description": "Number of servers above the threshold before the top-N cut.",
                      "type": "integer"
                    },
                    "min_similarity": {
                      "description": "The similarity threshold applied.",
                      "type": "number"
                    },
                    "q": {
                      "description": "The query that was matched."
                    },
                    "results": {
                      "description": "Best-matching MCP servers, most relevant first.",
                      "items": {
                        "properties": {
                          "description": {
                            "description": "What the server does, as observed.",
                            "type": "string"
                          },
                          "name": {
                            "description": "Server name as observed.",
                            "type": "string"
                          },
                          "registry": {
                            "description": "Registry or listing where it was seen."
                          },
                          "relevance": {
                            "description": "Cosine similarity between the query and this server, 0 to 1.",
                            "type": "number"
                          },
                          "url": {
                            "description": "Endpoint URL, when one was observed."
                          }
                        },
                        "type": "object"
                      },
                      "type": "array"
                    },
                    "snapshot_date": {
                      "description": "Date the underlying MCP snapshot was taken.",
                      "type": "string"
                    },
                    "snapshot_rows": {
                      "description": "Number of MCP servers in the snapshot.",
                      "type": "integer"
                    }
                  },
                  "required": [
                    "q",
                    "results"
                  ],
                  "type": "object"
                },
                "type": {
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    }
  },
  "liveness": {
    "reliability": null
  },
  "verified": false,
  "featured": false,
  "provider": {
    "host": "x402.agentindex.world",
    "manifest_name": "x402.agentindex.world",
    "source": "cdp-mirror",
    "source_manifest_url": "https://api.cdp.coinbase.com/platform/v2/x402/discovery/resources",
    "submitted_at": "2026-10-14T01:15:01.050Z"
  },
  "exampleResponse": {
    "example": {
      "matches": 0,
      "min_similarity": 0,
      "q": null,
      "results": [
        {
          "description": "string",
          "name": "string",
          "registry": null,
          "relevance": 0,
          "url": null
        }
      ],
      "snapshot_date": "string",
      "snapshot_rows": 0
    },
    "type": "string"
  }
}