MCP-researcher Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| PERPLEXITY_API_KEY | Yes | Your Perplexity API key from https://www.perplexity.ai/settings/api |
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 |
|---|---|
| searchA | Quick search for simple queries using Perplexity's Sonar Pro model. Best for straightforward questions and basic information lookup. |
| reasonA | Handles complex, multi-step tasks using Perplexity's Sonar Reasoning Pro model. Best for explanations, comparisons, and problem-solving. |
| deep_researchB | Conducts in-depth analysis and generates detailed reports using Perplexity's Sonar Deep Research model. Best for comprehensive research topics. |
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 3 tools
Each tool has a clearly distinct purpose: deep_research for comprehensive analysis, reason for multi-step reasoning tasks, and search for basic queries. The descriptions explicitly differentiate their use cases, eliminating any ambiguity or overlap in functionality.
All tool names follow a consistent snake_case pattern with clear, descriptive verbs (deep_research, reason, search). There are no deviations in naming style, making the set predictable and easy to understand.
With only 3 tools, the set feels thin for a research server, potentially limiting coverage of common research workflows like summarization, citation management, or data extraction. However, the tools are well-scoped to core research tasks, avoiding bloat.
The tools cover basic research functions (deep analysis, reasoning, quick search), but there are notable gaps such as no tools for summarizing, filtering results, or handling citations. This may cause agents to work around missing operations in complex research scenarios.