"Methods for Acquiring Basic Skills or Abilities" matching MCP servers:

A demonstration MCP server using FastMCP and streamable-http transport. It provides tools like weather and Kusto queries, secured by Microsoft Entra ID OAuth.

A safety-gated Python MCP server for Metabase that lets MCP clients and agents inspect Metabase, run governed queries, and create or maintain dashboards, cards/questions, collections, snippets, permissions, and other Metabase assets through the Metabase REST API.

MCP server providing a single query tool to execute SQL against GetDot Database, enabling schema discovery, data loading, and querying via natural language.

MCP server that connects AI assistants to Redash, enabling listing of assets, read-only query execution, dashboard inspection, and alert management through the Redash API.

Enables AI assistants to query Power BI datasets via MCP, automatically anonymizing sensitive data before it reaches the AI, and generating rich HTML reports from natural language questions.

A WebSocket-based MCP server that provides basic echo functionality and secure database querying capabilities. Includes Dokku deployment configuration for easy hosting with PostgreSQL integration.

Enables exploring Microsoft Fabric / Power BI workspaces and semantic models, and executing ad-hoc DAX queries.

Enables AI assistants to interact with Odoo ERP systems, letting them search, create, update, and delete business records, run aggregations, invoke business workflow methods, and fetch binary attachments through natural language. It supports API key or username/password authentication, smart field selection, pagination, and multi-language responses.

Enables read-only querying of Snowflake databases through Claude, supporting multiple authentication methods and SQL operations like SELECT, SHOW, DESCRIBE.

Enables AI assistants to query Salesforce data including retrieving accounts by ID, searching accounts by name, and fetching recent opportunities through authenticated API access.

Enables AI applications to run SQL queries and retrieve results from Oracle Database.

Enables MCP clients such as GitHub Copilot, Codex, Claude... to explore a SQL Server 2017+ database read-only: databases, schemas, tables, views, procedures, functions, indexes and dependency graphs, plus filtered, grouped, sampled and paginated queries capped by row limits.

Gives AI clients guarded access to SAP Business One over SAP HANA / MS SQL and the Service Layer OData API. SQL is read-only, enforced on the server; Service Layer is GET-only by default, with opt-in writes that require user approval unless a profile explicitly turns it off.

Enables Codex to safely discover and query PostgreSQL connections saved in DBeaver through structured, parameterized read-only SELECTs, including catalog inspection, query analysis/execution, settings retrieval, and sanitized log summaries. It enforces read-only transactions, server-side validation, and bounded access without accepting free-form SQL or exposing credentials.

A Model Context Protocol server that enables interaction with self-hosted Supabase instances, allowing developers to query database schemas, manage migrations, inspect statistics, and interact with Supabase features directly from MCP-compatible development environments.

Enables secure access to Oracle databases with fine-grained access control, supporting multiple databases simultaneously with configurable access modes (readonly/readwrite/full) and table-level permissions for safe query execution and data management.

Provides access to MySQL databases with fine-grained access control, supporting multiple databases simultaneously with configurable access modes (readonly, readwrite, full) and table-level permissions using whitelists, blacklists, wildcards, and regex patterns.

A TypeScript-based server to interact with ArangoDB using the Model Context Protocol, enabling database operations and integration with tools like Claude and VSCode extensions for streamlined data management.

A version-agnostic MCP server for Odoo that enables AI agents to interact with any Odoo app's data, schema, and source code, supporting tasks like data CRUD, schema mapping, code analysis, and feature implementation.

Provides a scalable knowledge graph implementation for Model Context Protocol using Elasticsearch, enabling AI models to store and query information with advanced search capabilities, memory-like behavior, and multi-zone architecture.