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Agentskin MCP server

by Shawn5cents·io.github.Shawn5cents/agentskin·v4.0.1·1 stars

The Semantic Layer for AI Agents. Prunes noisy API data by 70%+ for token-efficient reasoning.

B83/100grade B
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Safety scan
B83/100

full report

Adoption
Growing

1 stars121 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

Agentskin tools (2)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • fetch_optimized_data

    Fetches any API or Web URL and returns a 90% token-optimized 'Skin'. Supports BYOK (Bring Your Own Key) for private data.

  • skin_reasoning

    Optimizes natural language text for LLM-to-LLM communication by removing fillers, hedges, and redundant phrases. Increases 'Reasoning Density'.

Public scan report

scanner v0.1.10 · 2026-09-27 · same rubric, same numbers if you re-run it

no findings
  • Code scan32 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 1 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 83/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Agentskin compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
83/100
higher than 65% of 48,255 servers
Tools
2
the typical server has 7
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
1
more than 65% of 28,688 servers
Downloads a week
121
more than 67% of 12,191 servers with a package

What its tools let an agent do: 2 read

Install Agentskin in Claude Code, Cursor or VS Code

Runs npx -y agentskin on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add agentskin -- npx -y agentskin
Add to Cursor

What the publisher says

From the Agentskin repository's README, as published. We do not edit it. Read it on GitHub

AgentSkin

Context middleware for AI agents. AgentSkin removes low-value API, JSON, and terminal noise before it enters model context.

The frozen AgentSkin 5.1 offline core evaluation also has an accepted Sparse Env execution path. AgentSkin preserves the workload correctness contract while Sparse Env owns cold/warm environment selection and lifecycle; see agentskin/docs/SPARSE_ENV.md.

What it does

AgentSkin has three primary workflows:

  • compress — one front door that auto-detects JSON, CLI output, or plain text.
  • fetchoptimizeddata — fetches a public URL and applies URL-specific pruning rules when available.
  • reduce — compacts terminal output using Tokenjuice's rule-driven reducers.

Five advanced tools remain for compatibility and diagnostics: applyjsonsemantic, classifyurl, stripansi, estimatetokens, and skinreasoning.

Quick start

npx -y agentskin@latest

MCP config:

{
  "mcpServers": {
    "agentskin": {
      "command": "npx",
      "args": ["-y", "agentskin@latest"]
    }
  }
}

Design rule

Fidelity first, compression second. Explicit signals and URL rules are authoritative. Generic keys such as id, name, and url are only fallback signals when no explicit rule exists.

A reduction is useful only when the information required by the task survives it.

Current verification

The release gate runs the AgentSkin-owned test suite, including MCP startup/security and live HTTP integration tests. Run it with:

cd agentskin
npm ci
npm test

Benchmarks are workload-specific. The test suite prints measured reductions for its fixtures instead of claiming one universal savings percentage.

Runtime

  • Node.js MCP server over stdio
  • Tokenjuice is a normal npm dependency for CLI reduction
  • URL-specific semantic pruning rules for structured APIs
  • SSRF checks for fetches, response-size limits, rate limiting, Zod validation, and processing timeouts

Development

The npm package lives in agentskin/ inside this repository.

cd agentskin
npm ci
npm test
npm run lint
npm pack --dry-run

Credits

AgentSkin semantic pruning and MCP integration: Shawn Nichols Sr. / Nichols Transco LLC.

CLI reduction uses Tokenjuice by Vincent Koc under its MIT license.

Nothing above is checked by us. What we check is on the safety report.

Agentskin: common questions

Is Agentskin MCP server safe?
Mostly: it is graded B (83/100). Read the Agentskin safety report
How do I install Agentskin?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Agentskin need an API key?
Yes. The registry entry asks for BRAVE_SEARCH_API_KEY, SERPER_API_KEY, TAVILY_API_KEY, APILAYER_KEY.
Is Agentskin maintained?
The last commit was 38 days ago (2026-09-27). The latest release is v4.0.1.
How does Agentskin compare with other MCP servers?
safety score 83/100 (higher than 65% of 48,255 servers); tools 2 (the typical server has 7); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.