The MCP-ALBERTO server provides fundamental tools for AI orchestration to interact with external services like ALBERTO via API and Elasticsearch. It offers:
Authentication: Obtain authentication tickets using
get_ticket
with user credentials.Data retrieval: Retrieve detailed node information with
get_node_info
using a node'sunique_id
.Search functionality: Perform searches in Elasticsearch by type (
search_by_type
) or workflow (search_workflow
), with default filtering for non-deleted records.Configuration management: Access preconfigured credentials using
get_config_credentials
for seamless authentication.AI capability extension: Orchestrate complex workflows by combining these basic tools, enhancing an AI assistant's ability to handle real-world tasks.
Used to make HTTP requests to the ALBERTO system API, specifically enabling user authentication and ticket retrieval functionality.
Serves as the runtime environment for the ALBERTO service integration, enabling server-side JavaScript execution for the MCP server.
Used as the implementation language for the ALBERTO integration, providing type safety for API interactions and tool definitions.
Provides schema validation for input parameters when interacting with the ALBERTO system, ensuring data integrity for operations like user authentication.
This server cannot be installed
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
Tools
A server that enables AI to access external services through the Model Context Protocol, integrating specifically with an authentication system to obtain login tickets.
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