prompts.chat MCP Server
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Alternatives to prompts.chat MCP Server
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Related Servers
- AlicenseBqualityDmaintenanceAllows AI assistants to access prompts from promptz.dev API without copy-pasting, reducing context switching in your development workflow.412 npm4MIT No Attribution
- AlicenseNot gradedqualityCmaintenanceEnables users to organize, search, and manage a shared library of prompts across AI tools via the Model Context Protocol. It supports hierarchical folder organization, tagging, and template variable substitution for dynamic prompt generation.MIT
- AlicenseBqualityDmaintenanceEnables AI assistants to manage, store, and retrieve prompts through the Model Context Protocol, with a web UI for prompt management and optional secure sharing via Dev Tunnels.1MIT
- AlicenseAqualityDmaintenanceCommunity-driven library of tested prompts for AI agents, enabling search, retrieval, sharing, and rating of prompts.5MIT
- AlicenseNot gradedqualityBmaintenanceProvides AI assistants with access to a library of 924 free ecommerce marketing prompts across 43 categories, enabling tools to list collections, search prompts, and retrieve full templates with variables and recommended AI models.MIT
- AlicenseAqualityBmaintenanceExposes tools to list and save prompts from the Pretty Prompt library, enabling integration with AI editors like Cursor and Claude Desktop.543 npmMIT
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: get_prompt retrieves a specific prompt by ID with potential variable handling, while search_prompts finds multiple prompts by keyword with metadata. There is no overlap or ambiguity between these operations.
Both tools follow a consistent verb_noun pattern (get_prompt, search_prompts) with clear, descriptive names that align with their functions. The naming style is uniform and predictable.
With only two tools, the server feels thin for a prompt management domain. While get and search are fundamental, typical CRUD operations like create, update, or delete prompts are missing, making the set feel incomplete for full prompt lifecycle management.
The toolset is severely incomplete for prompt management. It lacks essential operations such as creating, updating, or deleting prompts, which are core to managing a prompt repository. Agents will hit dead ends when trying to modify or add prompts.