"Executing CLI commands" matching MCP servers:

Provides a set of tools to interact with Tecton clusters, manage feature stores, and execute Tecton CLI commands through the Mission Control Protocol.

Turn any CSV into a stunning interactive dashboard with one command — works as CLI, MCP server, or AI skill

An MCP server that enables AI assistants to interact with Tenzir, a data pipeline engine for security operations, including executing pipeline queries, managing OCSF schemas, and generating parsers.

Enables AI assistants to interact with Hadoop Hue for executing SQL queries using Hive, SparkSQL, or Impala and managing HDFS files. It supports directory browsing, file transfers, and exporting query results to CSV through the Model Context Protocol.

Enables executing SQL queries, exploring database schemas, and exporting results from Redash via MCP, with ad-hoc queries and write protection.

Enables LLMs to interact with Metabase instances through 33 tools for querying cards, dashboards, databases, collections, and executing SQL queries against your Metabase installation.

Enables AI assistants to manage CData Sync operations, including data synchronization jobs, connections, and ETL processes through stdio or HTTP transports. It provides tools for executing jobs, monitoring real-time progress via Server-Sent Events, and handling comprehensive workspace configurations.

An MCP server for executing Malloy queries and managing Malloy resources.

Enables programmatic interaction with Jupyter notebooks, allowing reading, editing, and executing cells via Claude.

Enables querying and managing SAP Cloud Platform Integration resources such as packages, integration flows, message processing logs, security material, and artifact lifecycle through the CPI OData v2 API.

Enables local and offline XLSX header cataloging, candidate relationship inference, and Oracle SELECT/WITH SQL generation without accessing databases or executing SQL.

MCP Server for executing XPath queries on XML content

A Model Context Protocol server implementation that enables AI assistants to interact with Apollo.io data, performing operations like people/organization enrichment, searching, and retrieving job postings through natural language commands.

Enables LLM agents to interact with the MOSTLY AI Platform for generating synthetic data, including training generators, managing data connectors, executing queries, and generating synthetic datasets with OAuth 2.1 authentication.

Model Context Protocol server for wDVC that provides tools for architecting DVC pipelines, generating Docker worker commands, searching patterns, and scaffolding wDVC projects.

Enables reading, summarizing, searching, validating, and surgically editing Pentaho Kettle .kjb/.ktr files without requiring a PDI installation or executing them, using an embedded knowledge base.

Enables MCP clients to run Ingestron project operations such as creating reviewed data contracts, configuring flows, and generating data-engineering assets from versioned plugins.

Enables AI agents to operate a US power-grid data pipeline – ingest, plan, run, and monitor datasets like CAISO, ERCOT, and EIA-930 through MCP tools that mirror the CLI.

Enables DeepSeek Harness models to directly call local ArcGIS Pro via MCP tools for reading projects, layers, GDB structures, and executing Buffer/Clip/custom ArcPy operations locally.

Exposes SAP Cloud Integration OData APIs as MCP tools, letting AI assistants list, inspect, create, update, and delete integration packages, iFlows, message processing logs, message stores, log files, security artifacts, and partner directory entries through natural language. All tools are declared in a single JSON config and served by odata-mcp-proxy with OAuth2 authentication via the BTP Destination Service.