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 ambiguity or overlap between tools. The tool 'ask_perplexity' has a clearly defined purpose focused on internet research with source-backed information, citations, and choices.
A single tool inherently has perfect naming consistency. The name 'ask_perplexity' follows a clear verb_noun pattern that is descriptive and appropriate for its function.
One tool is too few for a server's purpose, as it severely limits functionality and flexibility. While the tool is well-described, a single tool cannot provide comprehensive coverage for research or information-gathering tasks, making the server feel thin and incomplete.
The server is severely incomplete for its apparent domain of internet research and information gathering. With only one tool, there are significant gaps—such as no ability to refine searches, filter results, manage queries, or handle different types of data retrieval—which will likely cause agent failures in complex scenarios.