deep-research-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| TAVILY_API_KEY | No | Tavily API key (optional; if not set, the default baidu_tavily strategy will fall back to Baidu only) | |
| DEEPSEEK_API_KEY | Yes | DeepSeek API key (required) | |
| DEEP_RESEARCH_DATA_DIR | No | Data root directory. Defaults to %LOCALAPPDATA%\deep-research-mcp on Windows, or user local data directory on other systems. |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| create_report_planA | 创建持久化任务并生成可编辑大纲。 大纲生成需要调用模型与搜索服务,所以这是异步 MCP 工具。 |
| update_report_outlineA | 全量替换报告大纲,并可将其确认为可生成状态。 |
| generate_reportB | 把已确认的报告放入后台队列;重复调用不会创建重复任务。 |
| get_reportA | 读取任务进度;调用方可按需附带正文与来源,避免默认返回过大。 |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 4 tools
Each tool maps to a distinct phase of the report lifecycle: plan creation, outline update, generation, and progress/result retrieval. There is no meaningful overlap between read and write operations.
Tool names consistently use snake_case verb_noun structure (get_report, create_report_plan, update_report_outline, generate_report). Minor deviation: generate_report acts on the same report object as get_report, but the verb clearly differentiates the action.
Four tools cover a focused asynchronous research workflow without redundancy. This is a well-scoped set for the server's purpose.
Core lifecycle is covered: create plan, update outline, generate report, and read progress/results. Missing operations like cancel or delete are minor gaps that agents can work around.