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eleyed

by com.eleyed
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Server Details

Redact personal data from text before your agent sends it to a model or stores it: names, contact details, ID numbers, financial and health identifiers, card numbers, plus any exact terms you add. Nothing stored, no third-party AI.

Tools

  • redact_text: returns the redacted text and a count of what was removed, by type. Never the removed values. Options: restrict to particular data types, add exact terms to remove, choose the replacement style (a type label such as by default) and set a confidence threshold.

  • list_entity_types: lists the detectable data types. Free.

Data handling

  • Nothing you send is stored. Text is processed in memory and discarded when the call returns.

  • No third-party AI. Text is never sent to OpenAI, Anthropic, Google or any other outside model.

  • Tool arguments are never logged. Only counts are kept: credits used, a timestamp and how many of each type were found.

PDFs, including scanned pages, are handled by the REST API with the same key and credits. They aren't offered as an MCP tool because a file doesn't fit in a tool call.

Pricing: 1 credit per call plus 1 per 1,000 characters. 10 free credits on sign-up, no card. Credit packs from $5; purchased credits never expire. Failed calls and repeated identical calls are free.

Setup and API key: https://eleyed.com/mcp?utm_source=glama&utm_medium=directory&utm_campaign=listing

Ownership verified
Status
Healthy
Uptime
100.0% over the last 24 hours
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
URL
ChatGPT
–
Claude
–

TDQS

A4.4/5.0

Scored across 2 tools

Disambiguation5/5

The two tools have clearly distinct purposes: list_entity_types retrieves metadata about supported entity types, while redact_text performs the actual redaction. There is no overlap or ambiguity in which tool to use for a given task.

Naming Consistency5/5

Both tool names follow a consistent snake_case verb_noun pattern (list_entity_types, redact_text). The convention is predictable and readable, with no mixed styles.

Tool Count3/5

Two tools is on the thin side for a PII redaction service; common additions like detect-only or batch redaction are absent. The tools present are well-scoped, but the surface feels minimal.

Completeness4/5

The core workflow of discovering entity types and then redacting text is covered, including configurable entity selection via the referenced 'entities' argument. Minor gaps exist, such as no detection-only tool to locate PII without redacting, but the primary use case is well supported.

Publisher details

Operator
eleyed
Operator website
https://eleyed.com
Vendor relationship
First-party
Documentation
https://eleyed.com/mcp
Trust center
Not available
Restrictions
Requires an eleyed API key. Free sign-up with 10 credits; paid credits after that.

Available Tools

2 tools
list_entity_typesList detectable data typesA
Read-only
Inspect

List the personal-data types eleyed can detect, for use in the "entities" argument of redact_text. Free — costs no credits.

Inputs: no named parameters.

redact_textRedact PII from textA
Read-only
Inspect

Remove personal data from text before sending it to a model or storing it. Detects names, contact details, government and financial identifiers, health identifiers and payment card data. Returns the redacted text and a count of what was removed, by type — never the removed values themselves. Detection runs on eleyed infrastructure; content is not passed to a third-party model and nothing is stored. Costs credits based on length.

Inputs: text (required), entities, specific_terms, redaction_style, +2 more.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

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