토큰 보안 감사, 허니팟 탐지, 유동성 추적을 위한 자율형 MCP(Model Context Protocol) 서버입니다. AI 에이전트(Claude, Cursor, Windsurf)가 암호화폐 시장을 안전하게 분석하고 사기를 방지할 수 있도록 지원합니다.
허니팟 탐지: EVM 및 Solana의 악성 스마트 계약을 식별합니다.
유동성 분석: DexScreener를 통한 실시간 풀 규모, 잠긴 토큰, FDV 추적.
리스크 점수 알고리즘: AI 친화적인 0-100 안전 점수를 생성합니다.
Related MCP server: aegis-defi
npx 사용 (별도 설정 불필요)
npx -y crypto-inspector-mcpMCP 서버 목록에 다음을 추가하세요:
유형(Type): command
명령어(Command): npx
인자(Args): -y crypto-inspector-mcp
claude_desktop_config.json에 추가하세요:
{
"mcpServers": {
"crypto-inspector": {
"command": "npx",
"args": ["-y", "crypto-inspector-mcp"]
}
}
}서버는 15회 무료 감사를 제공합니다. 사용 한도에 도달하면 업그레이드 안내 메시지가 표시됩니다. https://crypto-inspector.io/upgrade에서 API 키를 발급받아 환경 변수에 추가하세요:
CRYPTO_INSPECTOR_API_KEY=your_keyThe Agency 제작 (API 플랫폼 엔지니어 & 스마트 계약 엔지니어).
Perform a comprehensive security and liquidity check on a cryptocurrency token contract.
| Name | Required | Description | Default |
|---|---|---|---|
| chain | Yes | The blockchain network | |
| contractAddress | Yes | The smart contract address of the token |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full disclosure burden. The verb 'check' implies a read-only analysis operation, but the description does not disclose what specific checks are performed, whether external calls are made, whether the operation is safe and non-mutating, or what the result contains. The word 'comprehensive' promises breadth without specifying it — a meaningful gap for an inspection tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single 12-word sentence with zero filler. The core action is front-loaded and the structure is clean. It loses one point only because the brevity sacrifices informative content that would have helped behavioral transparency and contextual completeness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool signature is simple — two well-documented parameters, one enum-constrained — so the schema carries most of the invocation burden. However, with no output schema and no annotations, the agent has no idea what a 'comprehensive security and liquidity check' returns or what criteria it evaluates. The vague 'comprehensive' leaves a notable gap given the absence of output documentation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%: both contractAddress and chain are already documented, and chain has an enum restricting valid networks. The description adds no parameter-level meaning beyond the schema, which is acceptable given the high coverage baseline of 3.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a clear verb ('Perform'), a specific resource ('cryptocurrency token contract'), and the nature of the operation ('security and liquidity check'). It effectively communicates the tool's domain. However, the qualifier 'comprehensive' is vague — it does not enumerate what security or liquidity checks are actually performed — which keeps this from a 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There are no sibling tools, so there is no need for exclusionary routing. The phrase 'security and liquidity check' implies the usage context of vetting a token before interacting with it, but no explicit when-to-use guidance is provided. The usage scenario is only implied, not stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
v1.0.0inspect_tokenScored across 1 tool
With only one tool, there is no possibility of confusing it with another. The single inspect_token tool has a clearly defined purpose, so an agent cannot misselect it.
The only tool name follows a clear verb_noun convention (inspect_token) and accurately reflects its function. There is no set of tools to establish a broader naming pattern, but the name is well-formed and self-explanatory.
The server exposes only one tool for what is described as a comprehensive security and liquidity check. This feels too thin for the as a token inspection MCP, which would typically benefit from separately callable tools for specific aspects such as liquidity details, holder analysis, or price data.
The tool surface is extremely limited, offering only a single monolithic action. While the description claims a comprehensive check, there are no additional tools for focused queries, comparing tokens, or retrieving specific aspects of the analysis, leaving obvious gaps in an inspection workflow.
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