Perplexity MCP Server

MIT License

Overview InspectNew Schema Related Servers Reviews Score

Server Configuration

Describes the environment variables required to run the server.

Name	Required	Description	Default
`PERPLEXITY_API_KEY`	Yes	Your Perplexity API key

Schema

Prompts

Interactive templates invoked by user choice

Name	Description
No prompts

Resources

Contextual data attached and managed by the client

Name	Description
No resources

Tools

Functions exposed to the LLM to take actions

Name	Description
`ask_perplexity`	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] - id: An ID generated uniquely for each response. - model: The model used to generate the response. - object: The object type, which always equals `chat.completion`. - created: The Unix timestamp (in seconds) of when the completion was created. - citations[]: Citations for the generated answer. - choices[]: The list of completion choices the model generated for the input prompt. - usage: Usage statistics for the completion request.

ask_perplexity

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] - id: An ID generated uniquely for each response. - model: The model used to generate the response. - object: The object type, which always equals `chat.completion`. - created: The Unix timestamp (in seconds) of when the completion was created. - citations[]: Citations for the generated answer. - choices[]: The list of completion choices the model generated for the input prompt. - usage: Usage statistics for the completion request.