"Kyverno policy examples and documentation" matching MCP servers:

A Model Context Protocol implementation that enables AI assistants to interact with markdown documentation files, providing capabilities for document management, metadata handling, search, and documentation health analysis.

A TypeScript-based MCP server that enables users to query financial news, stock data, and index information while managing text notes with creation and summarization capabilities.

Enables synchronization and management of FoundryVTT journal entries within a Notion Story Bible, including media export and conflict resolution tools. It provides a Model Context Protocol interface for LLMs to preview, apply, and monitor data mirroring between tabletop RPG platforms and digital databases.

Enables AI agents to store and retrieve project context, bugs, decisions, and session logs by reading and appending markdown files in a local Obsidian vault, without requiring any cloud services.

Enables local MCP clients to list, read, write, and search notes in an Obsidian vault via an HTTP server running inside Obsidian.

Provides AI clients with per-project todo management and persistent context notes via MCP, enabling task tracking and resume summaries.

Enables AI agents and users to manage workspace files, monitor system metrics, take persistent notes, and retrieve weather data via MCP tools and resources.

Exposes local markdown documentation, notes, and knowledge bases to AI tools via the Model Context Protocol without embeddings or uploading.

Manages feature documentation and bug tracking inside an Obsidian vault, organized by project, enabling project listing, feature doc writing, bug filing, status updates, and retrieval.

Enables Claude to interact with Hudu IT documentation, including searching, reading, creating, and updating articles, assets, passwords, companies, and more.

An open-source memory layer that provides persistent project context and architectural history for AI development tools across multiple platforms and sessions. It enables AI assistants to maintain a shared understanding of codebases while integrating directly with services like Notion for documentation management.

Enables humans and AI coding agents to collaboratively write to a shared knowledge base with conflict-safe claims, code-anchored staleness detection, and synchronized human/agent documentation via MCP and REST.

Connects MCP clients to Outline workspaces, enabling agents to safely read, update, and manage documentation through structured tools.

Enables AI agents to search, create, modify, and organize documentation pages and spaces in Docmost.

Enables LLM clients to read, search, and write to a local Obsidian vault over MCP, with full-text search, vault analytics, health scoring, and policy-enforced file operations.

Enables AI agents and humans to collaboratively manage kanban boards and Markdown documentation via MCP tools, with stable item keys, revision-safe editing, and full audit trails.

A lightweight Python-based MCP server for managing recipes and favorite collections. It provides a structured service-style layout to handle recipe business logic, persistence, and external client interactions.

Logs Cursor AI chat interactions to Notion databases for documentation and knowledge management. Captures prompts, responses, context, and timestamps in a structured format for analysis and reference.

A tool that integrates with GitHub and Notion to analyze and review pull requests, enabling automated code reviews and documentation in Notion.

Enables creating, listing, and searching project-based documentation with Markdown content, table of contents, full-text search, and multi-client support via Streamable HTTP transport.