Prompt Cleaner MCP Server
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Alternatives to Prompt Cleaner MCP Server
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Related Servers
- AlicenseNot gradedqualityDmaintenanceEnhances and cleans raw prompts using AI to make them more clear, actionable, and effective. Provides quality assessment, suggestions, and supports both general and code-specific optimization modes.1MIT
- AlicenseAqualityAmaintenanceSanitizes text and files by removing PII, secrets, and custom patterns locally before sending to LLMs, with optional reverse-scrubbing.3507 npm2Cryptographic Autonomy 1.0 (Combined Work Exception)
- AlicenseAqualityDmaintenanceScans prompts for PII and masks or redacts sensitive data locally before sending to an LLM, supporting multiple anonymization modes.1MIT

classifinder-mcpofficial
AlicenseAqualityBmaintenanceEnables AI agents to scan text for leaked secrets and prompt injection markers, and redact them before reaching an LLM.21MIT- AlicenseAqualityBmaintenanceEnables refining prompt intent, structure, constraints, and output instructions before prompts reach an LLM, with tools for schema retrieval, brief validation, and prompt variant generation.3MIT
- FlicenseNot gradedqualityBmaintenanceEnables MCP-compliant clients to sanitize prompt payloads by deterministically masking and reversibly redacting PII before they reach LLMs, returning structured output and telemetry.8-
TDQS
Scored across 4 tools
The tool set has severe ambiguity issues, with three tools (cleaner, normalize-prompt, sanitize-text) being explicit aliases of each other, performing identical functions with the same input/output schema. This creates confusion and redundancy, making it impossible for an agent to distinguish between them based on purpose or functionality.
Naming is mixed but readable, with tools using snake_case (e.g., 'health-ping') and hyphenated forms (e.g., 'normalize-prompt'), but lacks a consistent pattern. While not chaotic, the deviation from a uniform convention like verb_noun reduces predictability across the set.
With 4 tools, the count is borderline low for the server's purpose of prompt cleaning, but the real issue is that 3 of the tools are redundant aliases. This makes the effective tool count much lower, feeling thin and poorly scoped, as it doesn't justify multiple entries for the same functionality.
For the domain of prompt cleaning, the core functionality is well-covered by the cleaner tool, including normalization, PII redaction, and structured output. The health-ping adds basic liveness. However, minor gaps exist, such as lack of tools for post-cleaning analysis or configuration management, but agents can work around these with the provided tools.