Workflow Orchestration Platform (WOP) Server

Centralized service layer for Gumloop's interfaces, empowering intelligent agents to govern and deploy complex computational routines through a standardized mechanism.

Core Capabilities

• Sequence Governance: Initiate automated runs and track their operational lifecycle status.
• Asset Space Enumeration: Catalog discoverable workbooks and predefined automation blueprints.
• Parameter Definition Extraction: Obtain granular specifications for mandatory flow inputs.
• Artifact Manipulation: Provision and retrieve binary objects integral to workflow execution.
• Situationally Aware Processing: Invoke routines using input variables tailored to specific user requirements.

Integrated Utilities

initiateExecutionSequence

Triggers a fresh run instance for a designated saved automation configuration.

Inputs: - operator_id (string): Unique identifier for the invoking entity. - blueprint_reference_id (string): Identifier pointing to the stored automation sequence. - organizational_unit_id (string, optional): Contextual identifier specifying the execution environment. - process_payload (array, optional): Collection of initial parameters for the sequence. - param_designator (string): The designated name of the Input component within the blueprint. - data_value (string): The actual datum transmitted to the Input component.

Returns: Fulfillment record detailing run identifiers, blueprint reference, container ID, and access URL.

fetchExecutionStatus

Queries the current state and finalized outcomes of a specified sequence execution instance.

Inputs: - instance_identifier (string): The unique handle for the execution run. - operator_id (string, optional): The entity initiating the query. - organizational_unit_id (string, optional): The contextual unit governing the execution.

Returns: Detailed fulfillment report encompassing state, output artifacts, temporal markers, and operational logs.

enumerateStoredBlueprints

Returns a catalog of all saved automation definitions available to an operator or organizational unit.

Inputs: - operator_id (string, optional): The identifier of the entity requesting the catalog. - organizational_unit_id (string, optional): The organizational boundary for the listing.

Returns: A list containing saved blueprints and their associated metadata.

enumerateContainerAssets

Retrieves a register of all container structures and their resident saved execution blueprints.

Inputs: - operator_id (string, optional): The identifier of the entity requesting the catalog. - organizational_unit_id (string, optional): The organizational boundary for the listing.

Returns: A structured list detailing container assets and linked automation components.

resolveInputSpecification

Fetches the detailed input requirement specification for a specific stored automation blueprint.

Inputs: - blueprint_reference_id (string): The identifier for the saved asset whose schema is requested. - operator_id (string, optional): The entity responsible for the blueprint's creation. - organizational_unit_id (string, optional): The organizational context of the blueprint.

Returns: A comprehensive enumeration of required input parameters for the sequence.

ingestArtifact

Transfers a singular data object onto the Gumloop computational substrate.

Inputs: - artifact_designation (string): The canonical name assigned to the file. - artifact_payload (string): The Base64 encoded binary content of the object. - operator_id (string, optional): The entity associated with the uploaded data. - organizational_unit_id (string, optional): The organizational context for the data residency.

Returns: Confirmation signal along with the designated artifact name.

ingestMultipleArtifacts

Handles the bulk transfer of several data objects within a singular platform interaction.

Inputs: - artifact_collection (array): A collection of object structures for ingestion. - artifact_designation (string): The canonical name assigned to the file. - artifact_payload (string): The Base64 encoded binary content of the file. - operator_id (string, optional): The entity associated with the uploaded data set. - organizational_unit_id (string, optional): The organizational context for the data residency.

Returns: Confirmation signal and a roster of successfully ingested artifact designations.

extractArtifact

Retrieves a designated data object from the Gumloop operational environment.

Inputs: - artifact_designation (string): The canonical name of the file to be retrieved. - instance_identifier (string): The execution run identifier linked to the artifact. - blueprint_reference_id (string): The stored sequence identifier associated with the artifact. - operator_id (string, optional): The entity linked to the execution context. - organizational_unit_id (string, optional): The organizational context governing the artifact's storage.

Returns: The requested binary content of the data object.

extractMultipleArtifactsArchive

Fetches several specified data objects and packages them into a compressed archive container.

Inputs: - artifact_designation_list (array): A list of canonical names for the objects to retrieve. - instance_identifier (string): The execution run identifier linked to the artifacts. - operator_id (string, optional): The entity associated with the data retrieval request. - organizational_unit_id (string, optional): The organizational context for the data location. - blueprint_reference_id (string, optional): The stored sequence identifier associated with the artifacts.

Returns: A ZIP archive file containing the requested data objects.

Configuration Protocol

Authorization Credential

Procure a Gumloop Programmatic Access Key endowed with requisite feature permissions:

1. Navigate to Gumloop Profile Settings.
2. Generate a novel access credential.
3. Copy the newly provisioned key.

Integration with Desktop Interface

To utilize this service with the Desktop client, augment your claude_desktop_config.json with the following directives:

Using NPX Execution

{
  "mcpServers": {
    "gumloop": {
      "command": "npx",
      "args": [
        "-y",
        "gumloop-mcp-server"
      ],
      "env": {
        "GUMLOOP_API_KEY": "<YOUR_GUMLOOP_API_KEY>"
      }
    }
  }
}

Using Docker Containerization

{
  "mcpServers": {
    "gumloop": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "GUMLOOP_API_KEY",
        "gumloop-mcp-server"
      ],
      "env": {
        "GUMLOOP_API_KEY": "<YOUR_GUMLOOP_API_KEY>"
      }
    }
  }
}

Illustrative Scenarios

Launching a Process

// Initiate a stored automation sequence
const outcome = await agent.callTool("initiateExecutionSequence", {
  operator_id: "user123",
  blueprint_reference_id: "flow456",
  process_payload: [
    {
      param_designator: "search_query",
      data_value: "Forecasting advancements in 2025 AI automation"
    }
  ]
});

Verifying Runtime State

// Inspect the status of an active automation instance
const outcome = await agent.callTool("fetchExecutionStatus", {
  instance_identifier: "run789",
  operator_id: "user123"
});

Cataloging Available Blueprints

// Obtain all stored sequences for an operator
const outcome = await agent.callTool("enumerateStoredBlueprints", {
  operator_id: "user123"
});

Managing Data Artifacts

// Upload a data object intended for workflow consumption
const outcome = await agent.callTool("ingestArtifact", {
  operator_id: "user123",
  artifact_designation: "data.csv",
  artifact_payload: "base64EncodedFileContent..."
});

Output Structure

The service conveys Gumloop API responses formatted as JSON objects. Below is an example detailing the retrieval of execution state information:

{
  "operator_id": "user123",
  "current_state": "IN_PROGRESS",
  "final_outputs": {},
  "commencement_timestamp": "2023-11-07T05:31:56Z",
  "termination_timestamp": null,
  "operational_journal": [
    "Sequence initialization commencing...",
    "Input parameters being processed...",
    "Executing stage 1: Information Retrieval Module..."
  ]
}

Constraints

• API interactions are subject to Gumloop's defined invocation throttling and usage entitlements.
• Data object uploads are constrained by the maximum permissible size defined in Gumloop's interface specifications.
• Certain advanced functionalities might necessitate particular subscription entitlements.
• The service mandates a valid Gumloop Programmatic Access Key possessing requisite permissions.

Compilation Process

# Install necessary dependencies
pnpm install

# Build the application binaries
pnpm run build

# Initiate the service listener
pnpm start

Licensing

This WOP server is distributed under the terms of the MIT License.

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