Prompts MCP Server
Related Servers
Alternatives to Prompts MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceA Model Context Protocol server for prompt template management, enabling storage, versioning, search, and rendering of prompt templates via MCP tools.MIT
- AlicenseNot gradedqualityCmaintenanceA lightweight, file-based server for managing and serving personal prompt templates with variable substitution support via the Model Context Protocol. It allows users to store, update, and organize prompts in a local directory through integrated MCP tools and CLI assistants.67MIT
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that helps users create, validate, manage, and optimize prompts using the RISEN framework (Role, Instructions, Steps, Expectations, Narrowing).1MIT
- AlicenseNot gradedqualityCmaintenanceA Model Context Protocol implementation for managing and serving AI prompts with a TypeScript-based architecture in a monorepo structure.42,387,57318MIT
- FlicenseNot gradedqualityCmaintenanceA Model Context Protocol server that stores personal context as structured Markdown files with a knowledge graph, enabling AI agents to query identity, devices, servers, and projects on-demand.-
- AlicenseAqualityCmaintenanceEnables dynamic prompt management by automatically discovering and serving markdown prompt files with YAML frontmatter via the Model Context Protocol.11MIT
TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose with no overlap: add_prompt and create_structured_prompt differ in metadata handling, while delete_prompt, get_prompt, and list_prompts each target a specific operation on prompts. An agent can easily distinguish between them.
All tools follow a consistent verb_noun pattern in snake_case (e.g., add_prompt, delete_prompt, list_prompts). The naming is predictable and uniform throughout the set, making it easy for agents to parse.
With 5 tools, this server is well-scoped for managing prompts, covering core operations (create, read, list, delete) without being too sparse or bloated. Each tool serves a clear purpose in the domain.
The toolset provides solid CRUD coverage (add/create, get, list, delete) for prompts, but lacks an update or edit tool, which could be a minor gap for modifying existing prompts. However, agents can work around this by deletion and recreation.