"Code Execution" matching MCP servers:

Enables AI assistants to interact with DBT (Data Build Tool) projects, allowing them to query project metadata, inspect models and sources, view compiled SQL, and run DBT commands.

Imports CSV or Excel files into Dynamics 365 Finance & Operations data projects through the Data Management Framework, generating manifests, resolving entity targets and dependency order, and waiting for execution results. Also exports data projects and exposes tools to search the entity catalogue, inspect entity fields, and check execution status.

MCP server that provides AI assistants direct access to the Apache Zeppelin REST API for data engineering workflows, enabling notebook and paragraph management, execution, and interpreter control.

AI-powered MCP server for connecting and managing Jupyter Notebooks. Enables interactive code execution, multi-notebook management, and multimodal output for data analysis, visualization, and machine learning.

Generates and deploys Cloudera Data Engineering (CDE) Airflow jobs from ODCS data contracts, validating live table data in CDW against schema and data-quality rules without WAP staging.

Enables AI assistants to connect to StarRocks databases for direct SQL execution, schema exploration, and data visualization.

Enables managing the full data quality lifecycle through Claude Desktop, including data exploration, profiling, validation, duplicate detection, reconciliation, workflows, schedules, and execution monitoring.

Enables interaction with the Civis Platform for data exploration, querying, and workflow execution. Supports schema-restricted read-only mode and tools like run_query, list_tables, and publish_html_report.

Enables AI assistants to interact with Deephaven real-time data systems, allowing natural language queries, script execution, and management of both Community Core and Enterprise deployments for live data analysis and streaming workflows.

Provides a read-only MCP interface to locally synchronized Amazon seller data, enabling AI agents and analytics tools to query order, inventory, advertising, and settlement information with completeness and freshness checks for safe analysis.

Enables natural language interaction with Apache Airflow for querying DAGs, monitoring execution, and troubleshooting failures.

Enables AI to interact with ThinkingData analytics through a read-only MCP service, supporting event/property queries, event analysis, retention analysis, and safe SQL execution.

Provides read-only access to MetaTrader 5 market data, trading history, and technical analysis through Python execution. Supports querying price data, calculating indicators, creating charts, and generating forecasts with Prophet and ML models.

An MCP server that provides data bridging from Spring Boot interfaces and a lightweight Python sandbox for script execution. It enables agents to fetch data as Markdown or Parquet files and perform automated data analysis within a controlled environment.

Enables MCP-capable agents to inspect, validate, search, and manage Apache Hop pipelines and workflows, with guarded editing, backup, and optional local or Hop Server execution.

Enables interaction with Celigo integrator.io API to manage integrations, flows, connections, and data operations. Supports integration lifecycle management, flow execution, and connection configuration through natural language commands.

A standalone MCP server plus admin GUI for Couchbase Enterprise Analytics and Couchbase Capella Analytics, exposing 55 well-typed, audited tools for query execution, schema introspection, and cluster management.

Enables Claude Code to generate Kafka producer and consumer code using predefined event schemas, with tools to list events, get schemas, and validate code.

Enables AI assistants to create, monitor, and manage computational tasks through GA4GH Task Execution Service (TES) functionality. Provides seamless access to TES-compliant services for executing bioinformatics and scientific computing workflows.

Provides a runtime-only MCP server and REST API for datasets, connections, flows, pipelines, and cron scheduling, without server-side LLM execution or entity-authoring admin UI, enabling clients to operate and manage these resources programmatically.

Enables interaction with dbt projects via the Model Context Protocol for data analysis and insights.

Enables AI agents and compatible clients to access an Unstract API Deployment over Streamable HTTP for document extraction, execution polling, and deployment metadata. Supports OpenAI and Claude clients through a stateless remote proxy with secure bearer authentication.

Enables discovery of Power BI workspaces and datasets, retrieval of semantic model definitions (TMDL), and execution of DAX queries through the Power BI and Microsoft Fabric REST APIs, using MSAL/WAM authentication for secure token caching.

Enables interaction with Apache Flink clusters via the SQL Gateway, allowing query execution, session management, and job control through MCP tools.

MCP server for Databricks Unity Catalog, enabling table listing, schema description, and read-only SQL query execution via natural language. Built from scratch to demonstrate JSON-RPC 2.0 protocol depth.

Enables the analysis of DBT manifests with automatic schema version detection and lineage tracking, allowing users to query model dependencies, access compiled code, and get detailed model information.

This server facilitates scalable discovery and execution of OpenAPI endpoints using semantic search and high-performance processing, overcoming limitations of large spec handling for streamlined API interactions.

Enables AI agents to interact with PostgreSQL databases through the Model Context Protocol, providing database schema exploration, table structure inspection, and SQL query execution capabilities.

Enables high-performance read/write operations, reconciliation, formula recalculation, pivot refresh, macro execution, and PDF export for spreadsheet workbooks on Windows.

Enables AI assistants to interact with the Metabase analytics platform, including dashboards, cards, databases, tables, collections, and query execution through a set of MCP tools.