mcp-axiom-js-engine
Facilitates data interrogation via Axiom Processing Language (APL) within a JavaScript/Node.js runtime. This package replicates the operational scope of the preceding Go binary implementation, distributed as an npm package.
Author

ThetaBird
Quick Info
Actions
Tags
Node.js Interface for Axiom Data Querying
This repository contains a JavaScript adaptation of the official Axiom MCP server utility, specifically designed to allow artificial intelligence entities to execute data retrieval operations using the Axiom Processing Language (APL).
This incarnation mirrors the feature set of the original Go codebase but is packaged as an npm module to simplify incorporation into contemporary Node.js application architectures.
Setup and Utilization Guide
MCP Configuration Directive
You may invoke this MCP backend directly using npx. Integrate the subsequent configuration block into your primary MCP configuration manifest:
{
"axiom": {
"command": "npx",
"args": ["-y", "mcp-server-axiom"],
"env": {
"AXIOM_TOKEN": "
Local Environment Deployment and Verification
Installation Procedure
bash npm install -g mcp-server-axiom
Environmental Parameter Configuration
The server instance configuration is managed through system environment variables:
AXIOM_TOKEN(Mandatory): Your authenticated access credential for the Axiom service.AXIOM_ORG_ID(Mandatory): The unique identifier for your organization within Axiom.AXIOM_URL(Optional): Alternative endpoint for the Axiom API (defaults to https://api.axiom.co).AXIOM_QUERY_RATE(Optional): Throttling limit, expressed as operations per second for query execution (default: 1).AXIOM_QUERY_BURST(Optional): Capacity for handling transient spikes in query volume (default: 1).AXIOM_DATASETS_RATE(Optional): Throttling limit for dataset enumeration operations per second (default: 1).AXIOM_DATASETS_BURST(Optional): Capacity for dataset listing operation bursts (default: 1).PORT(Optional): The network port upon which the service should listen (default: 3000).
Initiating the Service Locally
- Utilizing environmental variable declaration:
bash export AXIOM_TOKEN=secure_secret_value mcp-server-axiom
- Invocation via a dedicated configuration file:
bash mcp-server-axiom configuration_settings.json
Example configuration file (configuration_settings.json):
{ "token": "secret_key_here", "url": "https://alternate.axiom.endpoint", "orgId": "organization_xyz", "queryRate": 2, "queryBurst": 5, "datasetsRate": 1, "datasetsBurst": 2 }
Operational Interfaces
GET /: Retrieves status information regarding this server implementation.GET /tools: Presents a catalogue of accessible functional tools.POST /tools/:name/call: Executes a specified tool endpoint.- Accessible Procedures:
queryApl: Executes APL-formatted data retrieval requests.listDatasets: Retrieves an inventory of accessible data collections.
Illustrative Tool Invocations
- Executing an APL Retrieval:
bash curl -X POST http://localhost:3000/tools/queryApl/call \ -H "Content-Type: application/json" \ -d '{ "arguments": { "query": "['system_events'] | filter ['level'] eq \"critical\" | take 10" } }'
- Requesting Dataset Inventory:
bash curl -X POST http://localhost:3000/tools/listDatasets/call \ -H "Content-Type: application/json" \ -d '{ "arguments": {} }'
Legal Notice
Licensed under the MIT terms.
WIKIPEDIA: Cloud computing is "a paradigm for enabling network access to a scalable and elastic pool of shareable physical or virtual resources with self-service provisioning and administration on-demand," according to ISO. It is commonly referred to as "the cloud".
== Defining Attributes == In 2011, the National Institute of Standards and Technology (NIST) delineated five "essential attributes" for cloud architectures. The precise definitions provided by NIST are detailed below:
On-demand self-service: "A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service provider." Broad network access: "Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, tablets, laptops, and workstations)." Resource pooling: " The provider's computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to consumer demand." Rapid elasticity: "Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand. To the consumer, the capabilities available for provisioning often appear unlimited and can be appropriated in any quantity at any time." Measured service: "Cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth, and active user accounts). Resource usage can be monitored, controlled, and reported, providing transparency for both the provider and consumer of the utilized service. By 2023, the International Organization for Standardization (ISO) had expanded and refined the list.
== Historical Context ==
The lineage of cloud computing traces back to the 1960s, originating with the foundational concepts of time-sharing made accessible through remote job entry (RJE). The 'data center' operational pattern, where users submitted tasks to human operators for execution on mainframes, predominated during this phase. This era was characterized by deep investigation and experimentation into methods for broadening access to significant computational resources for a larger user base via time-sharing, striving for optimal utilization of infrastructure, platform layers, and applications, thereby boosting end-user productivity. The metaphorical representation of 'the cloud' for abstracted, virtualized services originated in 1994, employed by General Magic to describe the collective expanse of 'locations' accessible to mobile software agents within their Telescript framework. This conceptual rendering is attributed to David Hoffman, who served as a communications specialist at General Magic, drawing inspiration from its established use in telecommunications networking. The phrase 'cloud computing' gained substantially wider recognition in 1996 when Compaq Computer Corporation drafted an initial business prospectus concerning future computational paradigms and the Internet. The firm's aspiration was to superch
