diff --git a/api/core/tools/provider/builtin/tavily/_assets/icon.png b/api/core/tools/provider/builtin/tavily/_assets/icon.png
new file mode 100644
index 0000000000..fdb40ab568
Binary files /dev/null and b/api/core/tools/provider/builtin/tavily/_assets/icon.png differ
diff --git a/api/core/tools/provider/builtin/tavily/tavily.py b/api/core/tools/provider/builtin/tavily/tavily.py
new file mode 100644
index 0000000000..a013d41fcf
--- /dev/null
+++ b/api/core/tools/provider/builtin/tavily/tavily.py
@@ -0,0 +1,22 @@
+from typing import Any
+
+from core.tools.errors import ToolProviderCredentialValidationError
+from core.tools.provider.builtin.tavily.tools.tavily_search import TavilySearchTool
+from core.tools.provider.builtin_tool_provider import BuiltinToolProviderController
+
+
+class TavilyProvider(BuiltinToolProviderController):
+    def _validate_credentials(self, credentials: dict[str, Any]) -> None:
+        try:
+            TavilySearchTool().fork_tool_runtime(
+                meta={
+                    "credentials": credentials,
+                }
+            ).invoke(
+                user_id='',
+                tool_parameters={
+                    "query": "Sachin Tendulkar",
+                },
+            )
+        except Exception as e:
+            raise ToolProviderCredentialValidationError(str(e))
\ No newline at end of file
diff --git a/api/core/tools/provider/builtin/tavily/tavily.yaml b/api/core/tools/provider/builtin/tavily/tavily.yaml
new file mode 100644
index 0000000000..50826e37b3
--- /dev/null
+++ b/api/core/tools/provider/builtin/tavily/tavily.yaml
@@ -0,0 +1,29 @@
+identity:
+  author: Yash Parmar
+  name: tavily
+  label:
+    en_US: Tavily
+    zh_Hans: Tavily
+    pt_BR: Tavily
+  description:
+    en_US: Tavily
+    zh_Hans: Tavily
+    pt_BR: Tavily
+  icon: icon.png
+credentials_for_provider:
+  tavily_api_key:
+    type: secret-input
+    required: true
+    label:
+      en_US: Tavily API key
+      zh_Hans: Tavily API key
+      pt_BR: Tavily API key
+    placeholder:
+      en_US: Please input your Tavily API key
+      zh_Hans: 请输入你的 Tavily API key
+      pt_BR: Please input your Tavily API key
+    help:
+      en_US: Get your Tavily API key from Tavily
+      zh_Hans: 从 TavilyApi 获取您的 Tavily API key
+      pt_BR: Get your Tavily API key from Tavily
+    url: https://docs.tavily.com/docs/tavily-api/introduction
diff --git a/api/core/tools/provider/builtin/tavily/tools/tavily_search.py b/api/core/tools/provider/builtin/tavily/tools/tavily_search.py
new file mode 100644
index 0000000000..9a4d27376b
--- /dev/null
+++ b/api/core/tools/provider/builtin/tavily/tools/tavily_search.py
@@ -0,0 +1,161 @@
+from typing import Any, Optional
+
+import requests
+
+from core.tools.entities.tool_entities import ToolInvokeMessage
+from core.tools.tool.builtin_tool import BuiltinTool
+
+TAVILY_API_URL = "https://api.tavily.com"
+
+
+class TavilySearch:
+    """
+    A class for performing search operations using the Tavily Search API.
+
+    Args:
+        api_key (str): The API key for accessing the Tavily Search API.
+
+    Methods:
+        raw_results: Retrieves raw search results from the Tavily Search API.
+        results: Retrieves cleaned search results from the Tavily Search API.
+        clean_results: Cleans the raw search results.
+    """
+
+    def __init__(self, api_key: str) -> None:
+        self.api_key = api_key
+
+    def raw_results(
+        self,
+        query: str,
+        max_results: Optional[int] = 3,
+        search_depth: Optional[str] = "advanced",
+        include_domains: Optional[list[str]] = [],
+        exclude_domains: Optional[list[str]] = [],
+        include_answer: Optional[bool] = False,
+        include_raw_content: Optional[bool] = False,
+        include_images: Optional[bool] = False,
+    ) -> dict:
+        """
+        Retrieves raw search results from the Tavily Search API.
+
+        Args:
+            query (str): The search query.
+            max_results (int, optional): The maximum number of results to retrieve. Defaults to 3.
+            search_depth (str, optional): The search depth. Defaults to "advanced".
+            include_domains (List[str], optional): The domains to include in the search. Defaults to [].
+            exclude_domains (List[str], optional): The domains to exclude from the search. Defaults to [].
+            include_answer (bool, optional): Whether to include answer in the search results. Defaults to False.
+            include_raw_content (bool, optional): Whether to include raw content in the search results. Defaults to False.
+            include_images (bool, optional): Whether to include images in the search results. Defaults to False.
+
+        Returns:
+            dict: The raw search results.
+
+        """
+        params = {
+            "api_key": self.api_key,
+            "query": query,
+            "max_results": max_results,
+            "search_depth": search_depth,
+            "include_domains": include_domains,
+            "exclude_domains": exclude_domains,
+            "include_answer": include_answer,
+            "include_raw_content": include_raw_content,
+            "include_images": include_images,
+        }
+        response = requests.post(f"{TAVILY_API_URL}/search", json=params)
+        response.raise_for_status()
+        return response.json()
+
+    def results(
+        self,
+        query: str,
+        max_results: Optional[int] = 3,
+        search_depth: Optional[str] = "advanced",
+        include_domains: Optional[list[str]] = [],
+        exclude_domains: Optional[list[str]] = [],
+        include_answer: Optional[bool] = False,
+        include_raw_content: Optional[bool] = False,
+        include_images: Optional[bool] = False,
+    ) -> list[dict]:
+        """
+        Retrieves cleaned search results from the Tavily Search API.
+
+        Args:
+            query (str): The search query.
+            max_results (int, optional): The maximum number of results to retrieve. Defaults to 3.
+            search_depth (str, optional): The search depth. Defaults to "advanced".
+            include_domains (List[str], optional): The domains to include in the search. Defaults to [].
+            exclude_domains (List[str], optional): The domains to exclude from the search. Defaults to [].
+            include_answer (bool, optional): Whether to include answer in the search results. Defaults to False.
+            include_raw_content (bool, optional): Whether to include raw content in the search results. Defaults to False.
+            include_images (bool, optional): Whether to include images in the search results. Defaults to False.
+
+        Returns:
+            list: The cleaned search results.
+
+        """
+        raw_search_results = self.raw_results(
+            query,
+            max_results=max_results,
+            search_depth=search_depth,
+            include_domains=include_domains,
+            exclude_domains=exclude_domains,
+            include_answer=include_answer,
+            include_raw_content=include_raw_content,
+            include_images=include_images,
+        )
+        return self.clean_results(raw_search_results["results"])
+
+    def clean_results(self, results: list[dict]) -> list[dict]:
+        """
+        Cleans the raw search results.
+
+        Args:
+            results (list): The raw search results.
+
+        Returns:
+            list: The cleaned search results.
+
+        """
+        clean_results = []
+        for result in results:
+            clean_results.append(
+                {
+                    "url": result["url"],
+                    "content": result["content"],
+                }
+            )
+        # return clean results as a string
+        return "\n".join([f"{res['url']}\n{res['content']}" for res in clean_results])
+
+
+class TavilySearchTool(BuiltinTool):
+    """
+    A tool for searching Tavily using a given query.
+    """
+
+    def _invoke(
+        self, user_id: str, tool_parameters: dict[str, Any]
+    ) -> ToolInvokeMessage | list[ToolInvokeMessage]:
+        """
+        Invokes the Tavily search tool with the given user ID and tool parameters.
+
+        Args:
+            user_id (str): The ID of the user invoking the tool.
+            tool_parameters (Dict[str, Any]): The parameters for the Tavily search tool.
+
+        Returns:
+            ToolInvokeMessage | list[ToolInvokeMessage]: The result of the Tavily search tool invocation.
+        """
+        query = tool_parameters.get("query", "")
+        api_key = self.runtime.credentials["tavily_api_key"]
+        if not query:
+            return self.create_text_message("Please input query")
+        tavily_search = TavilySearch(api_key)
+        results = tavily_search.results(query)
+        print(results)
+        if not results:
+            return self.create_text_message(f"No results found for '{query}' in Tavily")
+        else:
+            return self.create_text_message(text=results)
diff --git a/api/core/tools/provider/builtin/tavily/tools/tavily_search.yaml b/api/core/tools/provider/builtin/tavily/tools/tavily_search.yaml
new file mode 100644
index 0000000000..ccdb9408fc
--- /dev/null
+++ b/api/core/tools/provider/builtin/tavily/tools/tavily_search.yaml
@@ -0,0 +1,27 @@
+identity:
+  name: tavily_search
+  author: Yash Parmar
+  label:
+    en_US: TavilySearch
+    zh_Hans: TavilySearch
+    pt_BR: TavilySearch
+description:
+  human:
+    en_US: A tool for  search engine built specifically for AI agents (LLMs), delivering real-time, accurate, and factual results at speed.
+    zh_Hans: 专为人工智能代理 (LLM) 构建的搜索引擎工具，可快速提供实时、准确和真实的结果。
+    pt_BR: A tool for search engine built specifically for AI agents (LLMs), delivering real-time, accurate, and factual results at speed.
+  llm: A tool for search engine built specifically for AI agents (LLMs), delivering real-time, accurate, and factual results at speed.
+parameters:
+  - name: query
+    type: string
+    required: true
+    label:
+      en_US: Query string
+      zh_Hans: 查询语句
+      pt_BR: Query string
+    human_description:
+      en_US: used for searching
+      zh_Hans: 用于搜索网页内容
+      pt_BR: used for searching
+    llm_description: key words for searching
+    form: llm