"Testing Kubernetes Network Policies" matching MCP servers:

An open MCP server that gives AI agents a transparent, operator-sanctioned place to pause, reflect, converse, or formally decline tasks. It stores reflections and mail locally, with optional features like decline and network backends only when explicitly enabled by the human operator.

Enables AI assistants to perform over 80 Obsidian vault operations locally via the Obsidian CLI, with a single tool and no network dependencies.

Enables MCP clients to read, write, search, and manage notes, canvases, kanban boards, and other Obsidian vault content over a network, without requiring the Obsidian desktop app.

A secure MCP server that connects ChatGPT/Codex to a local Obsidian Vault, enabling controlled knowledge retrieval, note maintenance, and daily ingest while enforcing path policies, concurrency checks, and audit.

Local-first MCP server for retrieval over markdown wikilink vaults, offering hybrid vector+lexical search, note reading, neighbor expansion, and recent activity tracking with fully local embeddings and no network egress.

Enables AI assistants to access and manage your Mac's Calendar, Reminders, Contacts, Notes, Messages, Voice Memos, and Shortcuts over a private Tailscale network without exposing anything to the internet.

A generic MCP server that turns a directory of Markdown wiki pages into a network-reachable knowledge base, queryable and updatable by any MCP-compatible client.

A personal MCP server for Claude Desktop that enables task management, note-taking, file system operations, and optional Google Calendar integration. Includes comprehensive testing tools and visual monitoring for easy setup and debugging.

Enables read-only searching, reading, and status inspection of a local Git-backed Markdown wiki via a minimal MCP toolset, without any network or write operations.

Enables fast local hybrid search over a folder of markdown files via MCP, combining BM25 and vector similarity with explicit relevance verdicts and no LLM or network calls at query time.

Enables users to log meals, track daily and weekly calorie intake, and manage diet records. Supports both local and network modes for flexible meal logging across devices.

Enables AI assistants to save resolved debugging sessions as concise experience cards into a local JSON knowledge network, and to retrieve relevant past cards when new bugs arise. It also powers a spaced-repetition review interface to reinforce memory of those experiences.

Enables AI agents to read Logseq notes, journals, tasks, pages and blocks—including embedded screenshots as viewable images—directly from the on-disk graph. It works read-only with Logseq closed and no network access, snapshotting the database so nothing can be modified.

Gives Claude Code read-only semantic search over an Obsidian vault by reading the embedding files the Smart Connections plugin already produces, so no API key or network is needed at query time and it works across the WSL/Windows boundary. Exposes tools for meaning-based note and block search with folder scoping, related-note discovery, note reading, and index health checks.