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  1. Home
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  3. Sieve MCP
Sieve MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 12:32:31 PM

Sieve MCP

User RatingsBe the first to rate and review this MCP server!
View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).Visit Website
securitysecret-scanningmacosdeveloper-tools

Local macOS MCP server that scans AI tool histories for leaked secrets without returning plaintext values.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for gautam-u/sieve-mcp, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Tool Schemas (9) Directory Badge Claim listing AlternativesπŸ”’ More in Security

Overview

Sieve scans local transcripts, chat databases, history files, selected project .env files, and custom folders for exposed secrets. Use it to review findings, check or redact text before external submission, and run commands with Keychain-backed secrets injected locally. It uses stdio transport, makes no network calls, and requires the Sieve Mac app.

Use cases

β€’Scan AI coding tool histories for exposed API keys and secrets
β€’Check text for secrets before sending it to an external API
β€’Redact secret values into sieve:// placeholders
β€’Review scan findings, issues, and job history
β€’Run commands with secrets resolved from macOS Keychain

Key features

β€’Scans transcripts and history from Claude, Cursor, Copilot Chat, Windsurf, Cline, Codex CLI, and Ge…
β€’Returns redacted previews and fingerprints instead of plaintext secrets
β€’Checks text with a boolean-only secret detection result
β€’Replaces detected values with sieve:// placeholders
β€’Injects Keychain-resolved secrets into local command environments
β€’Reports scan health, unreadable sources, and parse failures

Capabilities & Tool Schemas (9) ~190 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Sieve MCP.

sieve_health_status

Returns service health and finding counts.

sieve_self_test

Verifies scanner rules and transcript source coverage are healthy.

sieve_findings_list

Lists findings from the most recent scan.

sieve_issue_list

Lists scanner health issues β€” unreadable sources, permission errors, parse failures.

sieve_scan_history

Returns past scan job summaries.

sieve_scan_status

Returns status of the current or most recent scan.

Documentation Overview

sieve-mcp

MCP server for Sieve β€” a macOS app that scans local AI coding tool history for secrets leaked into prompts.

sieve-mcp is bundled inside the Sieve Mac app. No separate install. No network calls. All operations run on-device.

Install

  1. Download Sieve for Mac from the App Store.
  2. Open Sieve β†’ Settings β†’ MCP β†’ toggle Enable MCP server on.

Configure Claude Code

Add to ~/.claude/claude_desktop_config.json:

config.json
{
  "mcpServers": {
    "sieve": {
      "command": "/Applications/Sieve.app/Contents/MacOS/sieve-mcp"
    }
  }
}

Restart Claude Code and run /mcp to verify sieve appears.

Configure Claude Desktop

Add the same block to ~/Library/Application Support/Claude/claude_desktop_config.json and restart.

Tools

All tools are safe by design β€” no tool ever returns a plaintext secret value.

sieve_health_status

Returns service health and finding counts.

Response:

config.json
{
  "status": "ok",
  "findings_count": 12,
  "scan_jobs": 3
}

sieve_self_test

Verifies scanner rules and transcript source coverage are healthy.

Response:

config.json
{
  "fingerprintHealthy": true,
  "ruleCount": "<n>",
  "transcriptSourceCount": "<n>",
  "healthy": true,
  "issues": []
}

sieve_findings_list

Lists findings from the most recent scan.

Input: { "limit": 50 } (optional)

Response:

config.json
[
  {
    "findingId": "abc123",
    "ruleId": "github-pat",
    "severity": "critical",
    "sourcePath": "~/.claude/projects/myapp/transcript.jsonl",
    "sourceType": "ClaudeCode",
    "secretFingerprint": "<fingerprint>",
    "previewRedacted": "ghp_[REDACTED]",
    "providerExposureAssumed": true,
    "rotationStatus": "pending",
    "redactionPlaceholder": "sieve://myapp/github-pat"
  }
]

providerExposureAssumed: true β€” secret found in an AI tool transcript. Assume the provider (Anthropic, OpenAI, etc.) can associate the prompt with your account identity.


sieve_issue_list

Lists scanner health issues β€” unreadable sources, permission errors, parse failures.

Response:

config.json
[
  {
    "issueId": "iss1",
    "code": "SCAN_TARGET_UNREADABLE",
    "severity": "warning",
    "component": "ClaudeDesktop",
    "message": "Could not read chat DB β€” Full Disk Access may be required",
    "suggestion": "Grant Full Disk Access in System Settings β†’ Privacy & Security"
  }
]

sieve_scan_history

Returns past scan job summaries.

Input: { "limit": 10 } (optional)

Response:

config.json
[
  {
    "jobId": "job1",
    "startedAt": "2026-05-22T10:00:00Z",
    "finishedAt": "2026-05-22T10:00:12Z",
    "sourcesCount": 4,
    "findingsCount": 3,
    "issuesCount": 0
  }
]

sieve_scan_status

Returns status of the current or most recent scan.

Response:

config.json
{ "status": "idle" }

Values: "idle" Β· "running" Β· "completed" Β· "failed: <reason>"


sieve_check_text

Checks whether text contains secrets. Returns boolean only β€” never echoes input or detected values.

Input: { "text": "<content to check>" }

Response:

config.json
{ "has_secrets": true }

Use this to gate operations before sending content to an external API.


sieve_redact_text

Redacts secrets from text, replacing values with sieve:// placeholders.

Input: { "text": "<content>", "project_key": "myapp" }

Response:

config.json
{
  "redacted": "export STRIPE_KEY=sieve://myapp/stripe-secret-key",
  "hadSecrets": true,
  "placeholders": [
    {
      "ruleId": "stripe-secret-key",
      "placeholder": "sieve://myapp/stripe-secret-key",
      "fingerprint": "<fingerprint>"
    }
  ]
}

Raw values are never included in the response.


sieve_vault_run

Executes a command with macOS Keychain-resolved secrets injected as env vars. Secrets never transit the MCP channel.

Input: { "command": "npm run deploy", "fingerprints": ["<fingerprint>"] }

Response:

config.json
{
  "exit_code": 0,
  "succeeded": true,
  "timed_out": false,
  "stdout_line_count": 14,
  "stderr_line_count": 0
}

stdout/stderr content is never returned β€” only line counts.


Supported AI tool sources

ToolSource
Claude CodeJSONL project transcripts
Claude DesktopSQLite chat database
CursorSQLite state database
VS Code / Copilot ChatJSON history files
WindsurfJSON history files
ClineJSON session files
Codex CLIJSONL/JSON session files
Gemini CLIJSON history files
.env filesSelected project roots
Custom sourcesUser-added folders

Sieve correlates findings across source types β€” if the same secret appears in both a transcript and a .env file, it is flagged as a multi-source exposure.

Security posture

  • Local-only. stdio transport, no network calls, no cloud sync.
  • No plaintext secrets in responses. Hard invariant in the dispatcher β€” not configurable.
  • Fingerprint-only persistence. Findings DB stores HMAC fingerprints + redacted previews only.
  • Keychain-backed vault. Secret values live in macOS Keychain with biometric access control.
  • Explicit opt-in. MCP is off by default; requires toggle in Sieve Settings.
  • Unreadable sources reported. SCAN_TARGET_UNREADABLE surfaces in sieve_issue_list β€” no silent skipping.

Transport

stdio. The sieve-mcp binary reads JSON-RPC 2.0 from stdin and writes to stdout. MCP clients (Claude Code, Claude Desktop) manage the process lifecycle.

Platform

macOS only. Requires Sieve app installed from the Mac App Store.

Links

  • Mac App Store: https://apps.apple.com/app/sieve-ai-secret-scanner/id6747506504
  • Product site: https://sieve.app

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
1
Stargazers on the source repository.
Last commit
1mo ago
Most recent push to the default branch.
Tools exposed
9
Callable tools this server registers over MCP.
Directory activity
2 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Sieve MCP

No. It runs locally on macOS over stdio and makes no network calls.

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Technical Specs & Signals

CategoryπŸ”’Security
PricingFree
More technical detailsExpand β–Ύ
AuthNo auth required
ClientsClaude Desktop, Cursor, Windsurf, Cline / VS Code
Last updatedAug 11, 2026
Views2
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
Last commit1mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 2, 2026
51Quality signal: Good Β· 51/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools25/30
Adoption & activity3/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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