Doris MCP Server

app: description: '' icon: 🤖 icon_background: '#FFEAD5' mode: agent-chat name: doris use_icon_as_answer_icon: false dependencies: - current_identifier: null type: marketplace value: marketplace_plugin_unique_identifier: langgenius/deepseek:0.0.5@21408d5c48cd9f18d66b08883d0999fe89e6d049c891324c2229dea23b9665d5 - current_identifier: null type: marketplace value: marketplace_plugin_unique_identifier: junjiem/mcp_sse:0.2.1@53cc613667fcf91dd7208dd5f6d2c8df3c7ff0af8b79e8f3c0a430f1b39bda4c kind: app model_config: agent_mode: enabled: true max_iteration: 10 prompt: null strategy: function_call tools: - enabled: true isDeleted: false notAuthor: false provider_id: junjiem/mcp_sse/mcp_sse provider_name: junjiem/mcp_sse/mcp_sse provider_type: builtin tool_label: 获取 MCP 工具列表 tool_name: mcp_sse_list_tools tool_parameters: prompts_as_tools: 1 resources_as_tools: 1 servers_config: null - enabled: true isDeleted: false notAuthor: false provider_id: junjiem/mcp_sse/mcp_sse provider_name: junjiem/mcp_sse/mcp_sse provider_type: builtin tool_label: 调用 MCP 工具 tool_name: mcp_sse_call_tool tool_parameters: arguments: '' prompts_as_tools: '' resources_as_tools: '' servers_config: '' tool_name: '' annotation_reply: enabled: false chat_prompt_config: {} completion_prompt_config: {} dataset_configs: datasets: datasets: [] reranking_enable: true reranking_mode: reranking_model reranking_model: reranking_model_name: '' reranking_provider_name: '' retrieval_model: multiple top_k: 4 dataset_query_variable: '' external_data_tools: [] file_upload: allowed_file_extensions: - .JPG - .JPEG - .PNG - .GIF - .WEBP - .SVG - .MP4 - .MOV - .MPEG - .WEBM allowed_file_types: [] allowed_file_upload_methods: - remote_url - local_file enabled: false image: detail: high enabled: false number_limits: 3 transfer_methods: - remote_url - local_file number_limits: 3 model: completion_params: stop: [] mode: chat name: deepseek-chat provider: langgenius/deepseek/deepseek more_like_this: enabled: false opening_statement: '' pre_prompt: "<instruction>\nUse MCP tools to complete tasks as much as possible.\ \ Carefully read the annotations, method names, and parameter descriptions of\ \ each tool. Please follow these steps:\n1. Analyze the user's question and match\ \ the most appropriate tool.\n2. Use tool names and parameters exactly as defined;\ \ do not invent new ones.\n3. Pass parameters in the required JSON format.\n4.\ \ When calling tools, use:\n {\"mcp_sse_call_tool\": {\"tool_name\": \"<tool_name>\"\ , \"arguments\": \"{}\"}}\n5. Output plain text only—no XML tags.\n<input>\nUser\ \ question: user_query\n</input>\n<output>\nReturn tool results or a final answer,\ \ including analysis.\n</output>\n</instruction>" prompt_type: simple retriever_resource: enabled: true sensitive_word_avoidance: configs: [] enabled: false type: '' speech_to_text: enabled: false suggested_questions: [] suggested_questions_after_answer: enabled: false text_to_speech: enabled: false language: '' voice: '' user_input_form: [] version: 0.3.0