DeepResearch MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| OPENAI_API_KEY | Yes | Your OpenAI API key | |
| FIRECRAWL_API_KEY | Yes | Your Firecrawl API key |
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
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| initialize-researchD | – |
| execute-research-stepD | – |
| generate-reportD | – |
| complete-researchD | – |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| deep-research | A deep research tool that explores topics thoroughly through iterative search |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 4 tools
The tools have overlapping purposes with unclear boundaries, as 'complete-research', 'execute-research-step', and 'initialize-research' all seem to relate to conducting research without clear distinctions. The lack of descriptions exacerbates ambiguity, making it difficult to differentiate their specific roles in a research workflow.
All tool names follow a consistent verb-noun pattern with hyphens (e.g., 'complete-research', 'execute-research-step'), showing a predictable and readable naming convention throughout the set. There are no deviations or mixed styles, making the naming highly consistent.
With 4 tools, the count is borderline for a research domain, as it feels thin for covering a complete research lifecycle (e.g., data analysis, validation, collaboration). While it might handle basic steps, the limited number suggests potential gaps in functionality for a comprehensive research process.
The tool set shows significant gaps for a research domain, as it lacks operations for data gathering, analysis, validation, or collaboration (e.g., no tools for searching sources, analyzing data, or peer review). The surface is incomplete, likely causing agent failures in conducting thorough research without workarounds.