"Checking Supabase migrations in GitHub Actions" matching MCP servers:

An MCP server that connects to Supabase PostgreSQL databases, exposing table schemas as resources and providing tools for data analysis through SQL queries.

MCP server for configuring the konsol Frappe app via the CLI. Enables AI clients to manage dimensions, measures, fact tables, connectors, and schemas using natural language.

Bridges Microsoft Foundry agents and Power BI semantic models into GitHub Copilot Chat, enabling users to query and modify measures as the signed-in user via MCP.

An MCP server for ReciPal's nutrition-label API that lets AI assistants read and edit recipes, ingredients, and subrecipes, including bulk operations like cloning and swapping ingredients, with safety guards for destructive actions.

An MCP server for data reconciliation between MySQL and Snowflake, enabling LLM agents to validate data integrity during migrations and ETL processes.

Enables AI agents to manage Cloudera Data Visualization resources including groups, users, roles, segments, workspaces, datasets, visuals, connections, and migrations via natural language.

Enables AI assistants to manage CData Arc connectors, files, transactions, workspaces, and administrative actions through natural language interactions via the Arc Admin API.

Enables interaction with live Pokémon data through PokeAPI, providing comprehensive Pokémon information, battle calculations, moveset validation, and team analysis. Supports searching Pokémon and moves, calculating stats, checking type effectiveness, and analyzing team synergies with in-memory caching for improved performance.

Connects AI assistants to Axcient for real-time data retrieval and actions through natural conversation.

Enables management of GitHub workflows, issue templates, and repository configuration for the Frontal MCP Server project through CI/CD pipelines and security automation.

Enables authorized DatumLabMHQ GitHub members to access the Datum data platform through MCP tools such as whoami, list_products, list_questions, ask, query, and health, without holding API keys.

A production-ready MCP server that provides comprehensive dbt project quality assessment for any GitHub repository, enabling AI agents to analyze dbt models, check metadata coverage, and map data lineage.

Turns natural language into data pipeline actions using six specialist agents that collaborate through MCP to build, validate, and monitor data infrastructure.

Exposes Iceberg-backed ontology objects, links, and actions as typed MCP tools for LLM agents, enabling governed data access and operations without raw SQL.

An MCP server that integrates with DataHub to track and score the reliability of AI agent actions. It provides a trust gateway that stamps every piece of context with its author's settled trust score.

A versatile tool that enables querying and exporting data from multiple relational databases (MySQL, PostgreSQL, Oracle, SQLite, etc.) in read-only mode for data safety.

Deterministic bank-statement parsing for AI agents: messy CSV/OFX exports to clean, categorized ledger rows. In-memory only, no storage, no external calls, no LLM in the loop.

Analyzes user-authorized CSV, JSON, or XLSX comment exports locally to generate risk signals, prioritized comments, evidence-backed actions, and reports while keeping data private.

Enables AI agents to interact with SkyFi's geospatial data services for ordering satellite imagery, searching data catalogs, checking pricing and feasibility, and monitoring areas of interest.

A unified backend MCP server that aggregates and filters data from external services like Zaim, GitHub, Google, and Notion, providing cross-cutting views via MCP and REST API without heavy AI inference.