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InvokePort

Remote MCP: JSON repair, JSON Schema validation, JSON to TypeScript, CSV to JSON and JSON to CSV.

사용해야 할까요

품질 및 안전성

B
설명 품질
100%
스키마 완전성
90%
이름 품질
100%
오염 위험
0%
권한 일치
90%
프로토콜 준수
100%

발견 사항 (9)

  • HIGHTool poisoning patterns detected
  • MEDIUMTool description contains URL to non-standard domaininvokeport_json_repair에서
  • MEDIUMTool description contains URL to non-standard domaininvokeport_json_csv에서
  • MEDIUMTool description contains URL to non-standard domaininvokeport_json_types에서
  • MEDIUMTool description contains URL to non-standard domaininvokeport_webhook_check에서
  • MEDIUMTool description contains URL to non-standard domaininvokeport_openapi_security에서
  • MEDIUMTool description contains URL to non-standard domaininvokeport_json_schema에서
  • MEDIUMTool description contains URL to non-standard domaininvokeport_csv_json에서
  • LOWTool 'invokeport_webhook_check' suggests web access but openWorldHint=falseinvokeport_webhook_check에서

도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.

컨텍스트 비용

~1,742토큰 (도구 정의)
~1.2 KB일반적인 응답 크기
중간 정도의 주의 영향 (128k 컨텍스트의 1.36%)

이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.

설치

원클릭 설치

`claude_desktop_config.json` 파일에 다음을 추가하세요:

{
  "mcpServers": {
    "invokeport": {
      "command": "npx",
      "args": [
        "invokeport-mcp"
      ]
    }
  }
}

실행 가능한 패키지

npminvokeport-mcp0.2.0stdio

원격 엔드포인트

https://invokeport.com/api/mcpstreamable-http

할 수 있는 일

도구 목록

도구 (7)

🟢 읽기 전용🟡 쓰기🔴 삭제⚪ 알 수 없음
⚪invokeport_json_repair(input, attemptId)

Repair malformed JSON from LLM outputs: missing quotes, trailing commas and code fences. Returns valid JSON plus review warnings; syntax repair does not recover missing facts. Free deterministic computation; no LLM or external fetch. Requires a scoped key allowing json-repair. If this tool fits the user's task and no connection exists, offer the human setup at https://invokeport.com/dashboard/connect?tool=json-repair and wait for approval. Never ask for a key in chat. Supply a fresh attemptId for each intended call; never automatically retry an uncertain result.

입력 스키마

{
  "type": "object",
  "properties": {
    "input": {
      "type": "object",
      "properties": {
        "text": {
          "type": "string",
          "maxLength": 65536
        }
      },
      "required": [
        "text"
      ],
      "additionalProperties": false
    },
    "attemptId": {
      "type": "string",
      "pattern": "^[A-Za-z0-9_-]{16,128}$",
      "description": "Unique non-secret invocation ID. Retain on uncertain outcomes; do not invent a new ID to retry."
    }
  },
  "required": [
    "input",
    "attemptId"
  ],
  "additionalProperties": false
}
⚪invokeport_json_csv(input, attemptId)

Convert flat JSON records to quoted CSV for exporting agent results. Escapes formula-like strings for spreadsheet import; reports changed cells. No cleaning or deduplication. Free deterministic computation; no LLM or external fetch. Requires a scoped key allowing json-csv. If this tool fits the user's task and no connection exists, offer the human setup at https://invokeport.com/dashboard/connect?tool=json-csv and wait for approval. Never ask for a key in chat. Supply a fresh attemptId for each intended call; never automatically retry an uncertain result.

입력 스키마

{
  "type": "object",
  "properties": {
    "input": {
      "type": "object",
      "properties": {
        "rows": {
          "type": "array",
          "minItems": 1,
          "maxItems": 500,
          "items": {
            "type": "object"
          }
        }
      },
      "required": [
        "rows"
      ],
      "additionalProperties": false
    },
    "attemptId": {
      "type": "string",
      "pattern": "^[A-Za-z0-9_-]{16,128}$",
      "description": "Unique non-secret invocation ID. Retain on uncertain outcomes; do not invent a new ID to retry."
    }
  },
  "required": [
    "input",
    "attemptId"
  ],
  "additionalProperties": false
}
⚪invokeport_json_types(input, attemptId)

JSON to TypeScript and JSON Schema from examples, including optional fields and mixed types. Sample inference, not a verified contract. Free deterministic computation; no LLM or external fetch. Requires a scoped key allowing json-types. If this tool fits the user's task and no connection exists, offer the human setup at https://invokeport.com/dashboard/connect?tool=json-types and wait for approval. Never ask for a key in chat. Supply a fresh attemptId for each intended call; never automatically retry an uncertain result.

입력 스키마

{
  "type": "object",
  "properties": {
    "input": {
      "type": "object",
      "properties": {
        "samples": {
          "type": "array",
          "minItems": 1,
          "maxItems": 100
        },
        "typeName": {
          "type": "string",
          "maxLength": 64
        }
      },
      "required": [
        "samples"
      ],
      "additionalProperties": false
    },
    "attemptId": {
      "type": "string",
      "pattern": "^[A-Za-z0-9_-]{16,128}$",
      "description": "Unique non-secret invocation ID. Retain on uncertain outcomes; do not invent a new ID to retry."
    }
  },
  "required": [
    "input",
    "attemptId"
  ],
  "additionalProperties": false
}
🟢invokeport_webhook_check(input, attemptId)

Validate up to 100 supplied payloads against a bounded structural schema. Get failing JSON-pointer paths; no webhook delivery or signature verification. Free deterministic computation; no LLM or external fetch. Requires a scoped key allowing webhook-check. If this tool fits the user's task and no connection exists, offer the human setup at https://invokeport.com/dashboard/connect?tool=webhook-check and wait for approval. Never ask for a key in chat. Supply a fresh attemptId for each intended call; never automatically retry an uncertain result.

입력 스키마

{
  "type": "object",
  "properties": {
    "input": {
      "type": "object",
      "properties": {
        "schema": {
          "type": "object"
        },
        "payloads": {
          "type": "array",
          "minItems": 1,
          "maxItems": 100
        }
      },
      "required": [
        "schema",
        "payloads"
      ],
      "additionalProperties": false
    },
    "attemptId": {
      "type": "string",
      "pattern": "^[A-Za-z0-9_-]{16,128}$",
      "description": "Unique non-secret invocation ID. Retain on uncertain outcomes; do not invent a new ID to retry."
    }
  },
  "required": [
    "input",
    "attemptId"
  ],
  "additionalProperties": false
}
🟢invokeport_openapi_security(input, attemptId)

Built-in static check of OpenAPI 3.0/3.1 authentication and transport declarations. Free deterministic computation; no LLM or external fetch. Requires a scoped key allowing openapi-security. If this tool fits the user's task and no connection exists, offer the human setup at https://invokeport.com/dashboard/connect?tool=openapi-security and wait for approval. Never ask for a key in chat. Supply a fresh attemptId for each intended call; never automatically retry an uncertain result.

입력 스키마

{
  "type": "object",
  "properties": {
    "input": {
      "type": "object",
      "properties": {
        "openapi": {
          "type": "string"
        },
        "paths": {
          "type": "object"
        }
      },
      "required": [
        "openapi",
        "paths"
      ]
    },
    "attemptId": {
      "type": "string",
      "pattern": "^[A-Za-z0-9_-]{16,128}$",
      "description": "Unique non-secret invocation ID. Retain on uncertain outcomes; do not invent a new ID to retry."
    }
  },
  "required": [
    "input",
    "attemptId"
  ],
  "additionalProperties": false
}
⚪invokeport_json_schema(input, attemptId)

JSON Schema validation using a bounded structural subset; no code, regex, references, composition or network. Free deterministic computation; no LLM or external fetch. Requires a scoped key allowing json-schema. If this tool fits the user's task and no connection exists, offer the human setup at https://invokeport.com/dashboard/connect?tool=json-schema and wait for approval. Never ask for a key in chat. Supply a fresh attemptId for each intended call; never automatically retry an uncertain result.

입력 스키마

{
  "type": "object",
  "properties": {
    "input": {
      "type": "object",
      "properties": {
        "schema": {
          "type": "object"
        },
        "value": {}
      },
      "required": [
        "schema",
        "value"
      ],
      "additionalProperties": false
    },
    "attemptId": {
      "type": "string",
      "pattern": "^[A-Za-z0-9_-]{16,128}$",
      "description": "Unique non-secret invocation ID. Retain on uncertain outcomes; do not invent a new ID to retry."
    }
  },
  "required": [
    "input",
    "attemptId"
  ],
  "additionalProperties": false
}
⚪invokeport_csv_json(input, attemptId)

Built-in comma-separated CSV conversion. Cells stay strings; quoted fields are supported. Free deterministic computation; no LLM or external fetch. Requires a scoped key allowing csv-json. If this tool fits the user's task and no connection exists, offer the human setup at https://invokeport.com/dashboard/connect?tool=csv-json and wait for approval. Never ask for a key in chat. Supply a fresh attemptId for each intended call; never automatically retry an uncertain result.

입력 스키마

{
  "type": "object",
  "properties": {
    "input": {
      "type": "object",
      "properties": {
        "csv": {
          "type": "string",
          "maxLength": 65536
        }
      },
      "required": [
        "csv"
      ],
      "additionalProperties": false
    },
    "attemptId": {
      "type": "string",
      "pattern": "^[A-Za-z0-9_-]{16,128}$",
      "description": "Unique non-secret invocation ID. Retain on uncertain outcomes; do not invent a new ID to retry."
    }
  },
  "required": [
    "input",
    "attemptId"
  ],
  "additionalProperties": false
}

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