Server definition

Hash: sha256:ec903259df2cf4015df91e99b0879afccf0aff7af43f835afd2292d5d1340651
What it is: What a remote MCP server returned when asked what it offers: 7 tools

The blob, as servednamed by its sha256

{
  "instructions": null,
  "tools": [
    {
      "description": "Request cancellation of a queued (not-yet-started) request. Returns 202 { status: 'CANCELLATION_REQUESTED' }. fal.ai queue: PUT {queue}/{model_id}/requests/{request_id}/cancel.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "model_id": {
            "description": "The fal.ai model id, used raw as a path segment, e.g. 'fal-ai/flux/schnell'.",
            "minLength": 1,
            "type": "string"
          },
          "request_id": {
            "description": "The queue request id returned when the request was submitted.",
            "minLength": 1,
            "type": "string"
          }
        },
        "required": [
          "model_id",
          "request_id"
        ],
        "type": "object"
      },
      "name": "falai_cancel_request",
      "outputSchema": null
    },
    {
      "description": "Get the OpenAPI 3 schema for a model — its input/output fields (components.schemas). Use this to learn what inputs a model accepts before submitting. fal.ai API: GET /openapi/queue/openapi.json?endpoint_id={model_id}.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "model_id": {
            "description": "The fal.ai model id, used raw as a path segment, e.g. 'fal-ai/flux/schnell'.",
            "minLength": 1,
            "type": "string"
          }
        },
        "required": [
          "model_id"
        ],
        "type": "object"
      },
      "name": "falai_get_model_schema",
      "outputSchema": null
    },
    {
      "description": "Get the final output of a COMPLETED queued request. fal.ai queue: GET {queue}/{model_id}/requests/{request_id}.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "model_id": {
            "description": "The fal.ai model id, used raw as a path segment, e.g. 'fal-ai/flux/schnell'.",
            "minLength": 1,
            "type": "string"
          },
          "request_id": {
            "description": "The queue request id returned when the request was submitted.",
            "minLength": 1,
            "type": "string"
          }
        },
        "required": [
          "model_id",
          "request_id"
        ],
        "type": "object"
      },
      "name": "falai_get_request_result",
      "outputSchema": null
    },
    {
      "description": "Get the status of a queued request (IN_QUEUE | IN_PROGRESS | COMPLETED). fal.ai queue: GET {queue}/{model_id}/requests/{request_id}/status (optional logs=1).",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "logs": {
            "description": "Include queue logs in the response (?logs=1).",
            "type": "boolean"
          },
          "model_id": {
            "description": "The fal.ai model id, used raw as a path segment, e.g. 'fal-ai/flux/schnell'.",
            "minLength": 1,
            "type": "string"
          },
          "request_id": {
            "description": "The queue request id returned when the request was submitted.",
            "minLength": 1,
            "type": "string"
          }
        },
        "required": [
          "model_id",
          "request_id"
        ],
        "type": "object"
      },
      "name": "falai_get_request_status",
      "outputSchema": null
    },
    {
      "description": "List or search fal.ai models in the registry (paginated). fal.ai API: GET /models (query: keywords, page, total).",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "keywords": {
            "description": "Optional search string to filter models by.",
            "type": "string"
          },
          "page": {
            "description": "1-based page number (default 1).",
            "maximum": 9007199254740991,
            "minimum": 1,
            "type": "integer"
          },
          "total": {
            "description": "Page size (number of models per page).",
            "maximum": 9007199254740991,
            "minimum": 1,
            "type": "integer"
          }
        },
        "type": "object"
      },
      "name": "falai_list_models",
      "outputSchema": null
    },
    {
      "description": "Convenience 'subscribe': submit a request, poll its status until COMPLETED, then return the result. Consumes fal credits. If it does not complete within the wait budget, returns a { status, request_id, status_url, note } object (NOT an error) so you can keep polling with falai_get_request_status / falai_get_request_result.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "input": {
            "additionalProperties": {},
            "description": "The model's input object — arbitrary params for that model, e.g. { \"prompt\": \"a cat\" }. Use falai_get_model_schema to learn the fields.",
            "propertyNames": {
              "type": "string"
            },
            "type": "object"
          },
          "max_wait_seconds": {
            "description": "Max seconds to wait for completion (default 60, capped at 300).",
            "maximum": 9007199254740991,
            "minimum": 1,
            "type": "integer"
          },
          "model_id": {
            "description": "The fal.ai model id, used raw as a path segment, e.g. 'fal-ai/flux/schnell'.",
            "minLength": 1,
            "type": "string"
          },
          "poll_interval_seconds": {
            "description": "Seconds between status polls (default 3, min 1).",
            "maximum": 9007199254740991,
            "minimum": 1,
            "type": "integer"
          }
        },
        "required": [
          "model_id",
          "input"
        ],
        "type": "object"
      },
      "name": "falai_run_model",
      "outputSchema": null
    },
    {
      "description": "Submit an inference request to the queue and return immediately (async — does NOT wait for completion). Returns { request_id, response_url, status_url, cancel_url, queue_position }. Consumes fal credits when the model runs. fal.ai queue: POST {queue}/{model_id} with body = the model input.",
      "inputSchema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "input": {
            "additionalProperties": {},
            "description": "The model's input object — arbitrary params for that model, e.g. { \"prompt\": \"a cat\" }. Use falai_get_model_schema to learn the fields.",
            "propertyNames": {
              "type": "string"
            },
            "type": "object"
          },
          "model_id": {
            "description": "The fal.ai model id, used raw as a path segment, e.g. 'fal-ai/flux/schnell'.",
            "minLength": 1,
            "type": "string"
          }
        },
        "required": [
          "model_id",
          "input"
        ],
        "type": "object"
      },
      "name": "falai_submit_request",
      "outputSchema": null
    }
  ]
}

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