"Testing Kubernetes Network Policies" matching MCP servers:

A read-only MCP server for bounded table discovery, deterministic profiling, and maintained-library statistical testing (Welch's t-test and two-proportion z-test) using SQLite, pandas, SciPy, and statsmodels.

Enables AI assistants to query, search, and analyze LinkedIn profiles from the Headstarter network for recruiting, networking, and community building.

Enables interaction with Databricks workspaces using On-Behalf-Of authentication to test connectivity, retrieve user information, and perform operations on behalf of authenticated users.

Enables AI agents to query Fangorn subgraph schemas and conformant data from published data sources via the Model Context Protocol.

A FastMCP server for querying, searching, and analyzing Kubernetes resources archived off-cluster with KubeArchive.

An MCP server that provides a USDA-accurate food database with deterministic macro math, enabling tools like list_foods, get_food, calculate_macros, filter_by_diet, build_meal, and list_available_tags. It allows Claude to look up nutrition facts and solve for exact macro targets offline, without AI or network.

A TypeScript MCP server that provides secure, read-only access to a locally hosted MySQL database for AI-agent workflows, with configurable policies and support for multiple MCP clients.

Runs SQL statements in memory against real PostgreSQL 18 and SQLite 3.49 engines after loading your schema and sample rows, returning each statement's own verdict: errors with line, column, and hints, constraint violations, or the resulting rows. It also compares both dialects to expose portability differences, all with no database server, network, or API key.

Enables AI agents to discover, request access to, and query data products in Data Mesh Manager, enforcing governance policies while retrieving business data from platforms like Snowflake and Databricks.

Audits PostgreSQL/Supabase schemas for security issues like missing RLS, permissive policies, and sensitive data exposure during AI conversations.

An MCP server for controlled server operations via BaoTa Panel, providing 50+ tools for system, site, database, files, cron, Docker, and network management with safety features like permission tiers, credential masking, and audit logs.

Enables coding agents to query and modify a SQLite database through twelve SQL-based tools, with safety enforced server-side via statement policies, protected tables, result caps, and snapshots. It also provides an append-only, hash-chained memory log with checkpoints so agents can record events and resume context across sessions.

Enables querying and managing Apache Druid datasources through natural language, including SQL queries, datasource exploration, and cluster connectivity testing.

Provides structured access to DevVault's local Postgres database, allowing schema inspection, read-only queries, guarded writes, and dummy data seeding for testing.

A unified MCP server for multi-stand infrastructure testing, enabling REST API calls, PostgreSQL queries, and OpenSearch searches through a single config file.

An MCP server that provides deep schema introspection for Supabase/Postgres, exposing tables, columns, views, enums, RLS policies, functions, and more.

Enables read-only PostgreSQL interaction with enforced SQL security policies, including query validation, row limits, and timeouts.

Postgres Pro is an open source Model Context Protocol (MCP) server built to support you and your AI agents throughout the entire development process—from initial coding, through testing and deployment, and to production tuning and maintenance.

A Postgres MCP server that enables AI agents to safely access production databases through deny-by-default YAML policies, PII masking, row limits, and required predicates. It also provides DBA capabilities like index tuning, health checks, and EXPLAIN plans, with support for multiple databases.

Enables connecting to local or remote MS SQL Server instances and provides tools for testing connections, listing databases and tables, describing schemas, and executing T-SQL queries.