perplexity-mcp-server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| PERPLEXITY_API_KEY | Yes | Your Perplexity API key |
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 | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| chat_perplexityA | Maintains ongoing conversations with Perplexity AI. Creates new chats or continues existing ones with full history context. |
| searchC | Perform a general search query to get comprehensive information on any topic |
| get_documentationB | Get documentation and usage examples for a specific technology, library, or API |
| find_apisC | Find and evaluate APIs that could be integrated into a project |
| check_deprecated_codeC | Check if code or dependencies might be using deprecated features |
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 5 tools
Each tool targets a distinct task: conversational chat, general search, documentation lookup, API discovery, and deprecation checking. Search and get_documentation could potentially overlap, but their descriptions make the intended use clear enough.
Most tools follow a verb_noun pattern (search, get_documentation, find_apis, check_deprecated_code), but 'chat_perplexity' is inconsistent as a compound name and 'search' is a bare verb. The pattern is largely coherent with minor deviations.
Five tools is well-scoped for a Perplexity AI integration, covering the primary interaction modes without unnecessary bloat. Each tool serves a meaningful purpose.
The server covers core capabilities for Perplexity AI: conversational chat, general search, documentation, API discovery, and deprecation checks. A minor gap is the lack of model selection or account-related tools, but these are not essential for typical use.