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InvokePort

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

我該用這個嗎

品質與安全性

B
說明品質
100%
結構描述完整度
90%
命名品質
100%
汙染風險
0%
權限相符程度
90%
協定合規性
100%

發現項目（9）

  • HIGHTool poisoning patterns detected
  • MEDIUMTool description contains URL to non-standard domain在 invokeport_json_repair 中
  • MEDIUMTool description contains URL to non-standard domain在 invokeport_json_csv 中
  • MEDIUMTool description contains URL to non-standard domain在 invokeport_json_types 中
  • MEDIUMTool description contains URL to non-standard domain在 invokeport_webhook_check 中
  • MEDIUMTool description contains URL to non-standard domain在 invokeport_openapi_security 中
  • MEDIUMTool description contains URL to non-standard domain在 invokeport_json_schema 中
  • MEDIUMTool description contains URL to non-standard domain在 invokeport_csv_json 中
  • LOWTool 'invokeport_webhook_check' suggests web access but openWorldHint=false在 invokeport_webhook_check 中

根據工具定義與協定合規性的自動化分析。

上下文成本

~1,742Token（工具定義）
~1.2 KB典型回應大小
中等的注意力影響（128k 上下文的 1.36%）

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高，可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案：

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

可執行的套件

npminvokeport-mcp0.2.0stdio

遠端端點

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

它能做什麼

工具清單

工具（7）

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
⚪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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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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