Perplexity MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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 |
|---|---|
| ask_perplexityA | Perplexity equips agents with a specialized tool for efficiently gathering source-backed information from the internet, ideal for scenarios requiring research, fact-checking, or contextual data to inform decisions and responses. Each response includes citations, which provide transparent references to the sources used for the generated answer, and choices, which contain the model's suggested responses, enabling users to access reliable information and diverse perspectives. This function may encounter timeout errors due to long processing times, but retrying the operation can lead to successful completion. [Response structure]
|
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 1 tool
With only one tool, there is no possibility of confusion or overlap between tools. The tool 'ask_perplexity' has a singular, well-defined purpose for internet research with source-backed information, making it completely distinct by default.
The single tool name 'ask_perplexity' follows a clear verb_noun pattern and is the only naming convention present. There are no other tools to compare it to, so consistency is inherently perfect.
A single tool for a server named 'Perplexity MCP Server' feels thin and limited in scope. While the tool is specialized for research, the server's purpose suggests it could benefit from additional tools (e.g., for query refinement, citation management, or batch processing) to provide a more complete research workflow.
The tool surface is severely incomplete for a research-oriented server. It only offers a single query function without supporting operations like saving results, managing search history, filtering citations, or handling different query types. This creates significant gaps that will limit agent capabilities in research scenarios.