WeChat Article Text with Summary, Topic Tags and Collection (No Engagement Counts)

omnial/wechat-article-text-tags-and-collection

Given a WeChat Official Account article link, returns the title, summary line, plain-text body (links and markup removed), byline, publish time (text and Unix timestamp), and the publishing account's name, WeChat ID and original ID; the topic tags with each tag's article count; the collection the article is in (name, article count, previous and next article titles); and the featured-comment total. No read, like or share counts.

activeper callv1

Price

Up to $0.0205 per call; you pay what the call used

The price shown is the price you pay. No monthly minimum. Top-ups start at $5.

Data source

WeChat

Data from WeChat.

Use it

Five steps: search, inspect, learn, run, settle. No per-tool setup; your agent reaches this tool through the meta-tools it already has.

agent

// 1. search: find the tool
omnial_search({ query: "what you need" })

// 2. inspect: price and input schema
omnial_inspect({ tool: "omnial/wechat-article-text-tags-and-collection" })

// 3. learn: read the usage guide at runtime
omnial_learn({ tool: "omnial/wechat-article-text-tags-and-collection" })

// 4. run: price the exact call first, then run it
omnial_execute({ tool: "omnial/wechat-article-text-tags-and-collection", input: { /* see input_schema */ }, dry_run: true })
omnial_execute({ tool: "omnial/wechat-article-text-tags-and-collection", input: { /* ... */ } })

// 5. settle: the call is charged when it finishes, nothing to do

Not connected yet? Point your MCP client at https://mcp.eden-engine.com/mcp, then copy a config for your client.

Pricing

Every charge this tool can incur.

Charge	Price
Per call	$0.0205

Updated: Oct 14, 2026

Input and output schemas

Input schema

input_schema.json

{
  "type": "object",
  "required": [
    "url",
    "raw"
  ],
  "properties": {
    "raw": {
      "enum": [
        true
      ],
      "type": "boolean",
      "default": true,
      "description": "Response mode. Only true (the full response, which this tool then trims to the fields listed) is offered."
    },
    "url": {
      "type": "string",
      "pattern": "^https?://mp\\.weixin\\.qq\\.com/s([/?].+)?$",
      "maxLength": 2048,
      "description": "The article's link on mp.weixin.qq.com, either the short /s/ form or the long form with __biz, mid, idx and sn parameters."
    }
  },
  "additionalProperties": false
}

Output schema

output_schema.json

{
  "type": "object",
  "properties": {
    "content": {
      "type": "object",
      "properties": {
        "desc": {
          "type": "string",
          "description": "The article's summary line."
        },
        "alias": {
          "type": "string",
          "description": "The publishing account's WeChat ID."
        },
        "title": {
          "type": "string",
          "description": "The article's title."
        },
        "author": {
          "type": "string",
          "description": "The byline, as the article states it."
        },
        "nick_name": {
          "type": "string",
          "description": "The publishing account's name."
        },
        "user_name": {
          "type": "string",
          "description": "The publishing account's original ID (it starts with gh_)."
        },
        "create_time": {
          "type": "string",
          "description": "The publish time as text, date and minutes."
        },
        "rt_biz_info": {
          "type": "object",
          "properties": {
            "elected_comment_total_cnt": {
              "type": "number",
              "description": "The number of featured (author-selected) comments on the article."
            }
          }
        },
        "content_text": {
          "type": [
            "string",
            "null"
          ],
          "description": "The article body as plain text, with links and markup removed; null if it cannot be cleaned."
        },
        "appmsgalbuminfo": {
          "type": "object",
          "properties": {
            "title": {
              "type": "string",
              "description": "The collection's name."
            },
            "content_size": {
              "type": "number",
              "description": "How many articles the collection holds."
            },
            "pre_article_title": {
              "type": "string",
              "description": "The title of the previous article in the collection."
            },
            "next_article_title": {
              "type": "string",
              "description": "The title of the next article in the collection."
            }
          },
          "description": "The collection the article belongs to."
        },
        "public_tag_info": {
          "type": "object",
          "properties": {
            "tags": {
              "type": "array",
              "items": {
                "type": "object",
                "properties": {
                  "tag_name": {
                    "type": "string",
                    "description": "The tag's name."
                  },
                  "tag_content_num": {
                    "type": "number",
                    "description": "How many articles the tag holds."
                  }
                }
              },
              "description": "The article's topic tags."
            }
          }
        },
        "create_timestamp": {
          "type": "number",
          "description": "The publish time as a Unix timestamp in seconds."
        }
      }
    }
  },
  "description": "The article, as returned after shaping."
}