perplexity-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| SOCKS_PROXY | No | SOCKS5 proxy URL (socks5://host:port) | |
| PERPLEXITY_TIMEOUT | No | Request timeout in seconds (15 min for deep research) | 900 |
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
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| perplexity_askB | AI-powered answer engine for tech questions, documentation lookups, and how-to guides. Perplexity is an AI model (not a search engine) - provide context and specific requirements in your query for better results. Returns synthesized answers with citations. |
| perplexity_researchA | Deep research agent for comprehensive analysis of complex topics. Provide detailed context about what you need and why - this AI model spends more time gathering and synthesizing information. Returns extensive reports with 10-30+ citations. Use for architecture decisions, technology comparisons, or thorough investigations. |
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 2 tools
The two tools have clearly distinct purposes: one for quick answers and tech lookups, the other for deep research with extensive citations. There is no overlap in functionality.
Both tools follow a consistent pattern with the 'perplexity_' prefix and a descriptive verb ('ask', 'research'), making it easy to understand their purpose.
With only two tools, the server covers the core use cases of quick queries and deep research. While minimal, it is well-scoped and not overly sparse for its intended purpose.
The tool set covers the primary interactions with the Perplexity AI model: quick synthesis and comprehensive analysis. There are no major gaps, though additional tools for streaming or specific models could be considered.