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Slack Message Sanitizer MCP
x402
Slack Message Sanitizer MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.08/call, status unknown (last checked 2026-10-19).
Sanitizes and cleans Slack message content by removing unwanted elements, formatting, or sensitive data from raw message text.
Price / call$0.08
Success—
StatusUnknown
How this service works
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Output
Returns processed/sanitized text with Slack-specific markup, mentions, sensitive content, or unwanted formatting removed, delivered as a cleaned string ready for safe storage, display, or further processing.
Example use cases
Safe Slack message archival
“I'm archiving our Slack channel logs and need to strip out all user mentions, emoji codes, and hyperlink markup from each message before saving them — can you run this message through the sanitizer: '<@U12345> please review <https://docs.example.com|these docs> :wave:'?”
Redact PII before analytics
“Before I send these Slack messages to our analytics pipeline, I need to sanitize this one to remove any personal info or sensitive content: 'Hey Sarah, my SSN is 123-45-6789, can you update the records?'”
Clean Slack data for LLM input
“I want to feed some Slack conversation history into an LLM but first I need to clean out all the Slack formatting tokens and special syntax — can you sanitize this message: ':rocket: <@U98765> the PR at <https://github.com/org/repo/pull/42|#42> is ready for review!'”
Technical details
Endpoint
POSThttps://api.m2mcent.com/slack-message-sanitizer-mcp/api/process?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to programmatically clean, sanitize, or normalize Slack message text — especially when building Slack archival pipelines, feeding Slack data into LLMs or analytics systems, or when compliance requires redacting PII or sensitive content from Slack exports. Prefer this over generic text-cleaning tools when dealing specifically with Slack message syntax and formatting conventions.
Side effects
- Empty or null data field returns an error or empty result
- Extremely long message strings may time out or be truncated
- Non-string data types in the data field may cause processing errors
- Malformed JSON input returns a 400-level error
- Service unavailability returns a 402 or 5xx error
Output
Schema · Response
{
"type": "json",
"example": {
"success": true
}
}Tags
x402
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