Backlinks MCP

Instructions

Implementation Reference

• src/seo_mcp/server.py:131-140 (handler)

  MCP tool handler decorated with @mcp.tool(). Obtains captcha token and delegates to helper function get_keyword_difficulty.
  @mcp.tool() def keyword_difficulty(keyword: str, country: str = "us") -> Optional[Dict[str, Any]]: """ Get keyword difficulty for the specified keyword """ site_url = f"https://ahrefs.com/keyword-difficulty/?country={country}&input={urllib.parse.quote(keyword)}" token = get_capsolver_token(site_url) if not token: raise Exception(f"Failed to get verification token for keyword: {keyword}") return get_keyword_difficulty(token, keyword, country)
• src/seo_mcp/keywords.py:80-165 (helper)

  Core helper function implementing the keyword difficulty logic: makes API request to Ahrefs, parses response, extracts difficulty score, SERP results with metrics.
  def get_keyword_difficulty(token: str, keyword: str, country: str = "us") -> Optional[Dict[str, Any]]: """ Get keyword difficulty information Args: token (str): Verification token keyword (str): Keyword to query country (str): Country/region code, default is "us" Returns: Optional[Dict[str, Any]]: Dictionary containing keyword difficulty information, returns None if request fails """ if not token: return None url = "https://ahrefs.com/v4/stGetFreeSerpOverviewForKeywordDifficultyChecker" payload = { "captcha": token, "country": country, "keyword": keyword } headers = { "accept": "*/*", "content-type": "application/json; charset=utf-8", "referer": f"https://ahrefs.com/keyword-difficulty/?country={country}&input={keyword}" } try: response = requests.post(url, json=payload, headers=headers) if response.status_code != 200: return None data: Optional[List[Any]] = response.json() # 检查响应数据格式 if not isinstance(data, list) or len(data) < 2 or data[0] != "Ok": return None # 提取有效数据 kd_data = data[1] # 格式化返回结果 result = { "difficulty": kd_data.get("difficulty", 0), # Keyword difficulty "shortage": kd_data.get("shortage", 0), # Keyword shortage "lastUpdate": kd_data.get("lastUpdate", ""), # Last update time "serp": { "results": [] } } # 处理SERP结果 if "serp" in kd_data and "results" in kd_data["serp"]: serp_results = [] for item in kd_data["serp"]["results"]: # 只处理有机搜索结果 if item.get("content") and item["content"][0] == "organic": organic_data = item["content"][1] if "link" in organic_data and organic_data["link"][0] == "Some": link_data = organic_data["link"][1] result_item = { "title": link_data.get("title", ""), "url": link_data.get("url", [None, {}])[1].get("url", ""), "position": item.get("pos", 0) } # 添加指标数据（如果有） if "metrics" in link_data and link_data["metrics"]: metrics = link_data["metrics"] result_item.update({ "domainRating": metrics.get("domainRating", 0), "urlRating": metrics.get("urlRating", 0), "traffic": metrics.get("traffic", 0), "keywords": metrics.get("keywords", 0), "topKeyword": metrics.get("topKeyword", ""), "topVolume": metrics.get("topVolume", 0) }) serp_results.append(result_item) result["serp"]["results"] = serp_results return result except Exception: return None