Agentskin MCP server
io.github.Shawn5cents/agentskin·v4.0.1·1 starsThe Semantic Layer for AI Agents. Prunes noisy API data by 70%+ for token-efficient reasoning.
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 postsRead from the package source without running it. The installed server may list more.
fetch_optimized_dataFetches any API or Web URL and returns a 90% token-optimized 'Skin'. Supports BYOK (Bring Your Own Key) for private data.
skin_reasoningOptimizes 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
- 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
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
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@latestMCP 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 testBenchmarks 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-runCredits
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.