sgaunet/pplx
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The Model Context Protocol (MCP) server for the Perplexity AI CLI tool, 'pplx', allows seamless integration with MCP-compatible clients, enabling advanced AI interactions and queries.
pplx
It's an unofficial CLI program to query/chat with the perplexity API.
Requirements
- Go 1.24.0 or later is required to build from source
If you're installing pre-built binaries, no Go installation is needed.
Installation
Option 1
- Download the latest release from the releases page.
- Install the binary in /usr/local/bin or any other directory in your PATH.
Option 2: With brew
brew tap sgaunet/homebrew-tools
brew install sgaunet/tools/pplx
Usage
Program to interact with the Perplexity API.
You can use it to chat with the AI or to query it.
Usage:
pplx [command]
Available Commands:
chat chat subcommand is an interactive chat with the Perplexity API
help Help about any command
query
version print version of pplx
Flags:
-h, --help help for pplx
Use "pplx [command] --help" for more information about a command.
Shell Completion
pplx supports shell completion for Bash, Zsh, Fish, and PowerShell, providing intelligent auto-completion for commands, flags, and values.
Features
- Command completion: Auto-complete available commands and subcommands
- Flag completion: Auto-complete flag names with descriptions
- Dynamic value completion: Intelligent completion for:
- Model names (e.g.,
sonar,sonar-pro,sonar-deep-research) - Search modes (
web,academic) - Recency filters (
hour,day,week,month,year) - Context sizes (
low,medium,high) - Reasoning efforts (
low,medium,high) - Image formats (
jpg,png,gif, etc.) - Common domains for search filtering
- Model names (e.g.,
Quick Installation
The easiest way to set up completions is using the automatic installer:
# Auto-detect your shell and install
pplx completion install
# Or specify a shell explicitly
pplx completion install bash
pplx completion install zsh
pplx completion install fish
pplx completion install powershell
To uninstall:
pplx completion install --uninstall
Manual Installation
If you prefer manual installation, you can generate completion scripts for your shell:
Bash
For current session only:
source <(pplx completion bash)
Permanent installation:
Linux:
pplx completion bash | sudo tee /etc/bash_completion.d/pplx
macOS (with Homebrew):
pplx completion bash > $(brew --prefix)/etc/bash_completion.d/pplx
Zsh
Prerequisites:
If shell completion is not already enabled, add this to your ~/.zshrc:
autoload -U compinit; compinit
For current session only:
source <(pplx completion zsh)
Permanent installation:
# Create completions directory if it doesn't exist
mkdir -p ~/.zsh/completions
# Generate completion script
pplx completion zsh > ~/.zsh/completions/_pplx
# Add to your ~/.zshrc (if not already present)
fpath=(~/.zsh/completions $fpath)
autoload -U compinit; compinit
Fish
For current session only:
pplx completion fish | source
Permanent installation:
pplx completion fish > ~/.config/fish/completions/pplx.fish
PowerShell
For current session only:
pplx completion powershell | Out-String | Invoke-Expression
Permanent installation:
# Generate completion script
pplx completion powershell > pplx-completion.ps1
# Add to your PowerShell profile
# Find your profile location with: $PROFILE
# Then add this line to your profile:
. /path/to/pplx-completion.ps1
Using Completions
Once installed, you can use tab completion for commands and flags:
# Complete command names
pplx <TAB>
# Shows: chat, completion, config, help, mcp-stdio, query, version
# Complete flag names
pplx query --m<TAB>
# Completes to: --model
# Complete model names
pplx query --model <TAB>
# Shows: sonar, sonar-pro, sonar-reasoning, sonar-deep-research, etc.
# Complete search modes
pplx query --search-mode <TAB>
# Shows: web, academic
# Complete recency values
pplx query --search-recency <TAB>
# Shows: hour, day, week, month, year
# Complete multiple values for array flags
pplx query --search-domains <TAB>
# Shows: github.com, stackoverflow.com, medium.com, etc.
Troubleshooting
Completions not working after installation:
- Restart your shell or source your shell configuration file:
- Bash:
source ~/.bashrcorsource ~/.bash_profile - Zsh:
source ~/.zshrc - Fish:
source ~/.config/fish/config.fish - PowerShell:
. $PROFILE
- Bash:
Zsh completions not loading:
- Ensure
compinitis called in your~/.zshrc - Verify the completion file is in your
fpathby runningecho $fpath - Try running
compinitmanually to reload completions
Permission errors during installation:
- Use the automatic installer which handles permissions correctly
- Or use
sudowhen writing to system directories
Advanced Usage
Save to a custom file:
pplx completion bash -o ~/my-completions/pplx.bash
Generate for a specific shell without installing:
pplx completion zsh > completions.zsh
View all completion subcommands:
pplx completion --help
Chat
Chat with the Perplexity API.
pplx chat
Query
Query the Perplexity API.
pplx query -p "what are the best citations of Jean Marc Jancovici ?" -s "you're a politician"
The above command will return in console a result that looks like:

Query Examples
Basic Queries
# Simple query
pplx query -p "What is the capital of France?"
# Query with system prompt
pplx query -p "Explain quantum computing" -s "You are a physics professor"
# Query with custom model
pplx query -p "Latest AI news" --model "llama-3.1-sonar-large-128k-online"
Advanced Search Options
# Search only from specific domains (using short flag)
pplx query -p "climate change research" -d nature.com,science.org
# Get recent information only (last week) - using short flag
pplx query -p "stock market updates" -r week
# Location-based query
pplx query -p "weather forecast" --location-lat 48.8566 --location-lon 2.3522 --location-country FR
Response Enhancement
# Include images in the response (using short flag)
pplx query -p "Famous landmarks in Paris" -i
# Get related questions (using short flag)
pplx query -p "How to learn programming" -q
# Filter images by format and domain
pplx query -p "Nature photography" -i --image-formats jpg,png --image-domains unsplash.com,pexels.com
Generation Parameters
# Control response length (using short flag)
pplx query -p "Summarize War and Peace" -T 500
# Fine-tune creativity and randomness (using short flags)
pplx query -p "Write a haiku about coding" -t 0.8 --top-p 0.95
# Adjust frequency and presence penalties
pplx query -p "Explain machine learning concepts" --frequency-penalty 0.5 --presence-penalty 0.3
Combined Examples
# Technical research with specific sources and recent data (using short flags)
pplx query -p "Latest developments in quantum computing" \
-d arxiv.org,nature.com \
-r month \
-q \
-T 1000
# Local business search with images (using short flags)
pplx query -p "Best restaurants near me" \
--location-lat 40.7128 \
--location-lon -74.0060 \
--location-country US \
-i \
-r week
# Creative writing with custom parameters (using short flags)
pplx query -p "Write a short story about AI" \
-s "You are a creative science fiction writer" \
-t 0.9 \
-k 50 \
-T 2000
Available Options
Common Options (for both chat and query)
| Option | Short | Type | Description |
|---|---|---|---|
--model | -m | string | AI model to use |
--frequency-penalty | float64 | Penalize frequent tokens (0.0-2.0) | |
--max-tokens | -T | int | Maximum tokens in response |
--presence-penalty | float64 | Penalize already present tokens (0.0-2.0) | |
--temperature | -t | float64 | Response randomness (0.0-2.0) |
--top-k | -k | int | Consider only top K tokens |
--top-p | float64 | Nucleus sampling threshold | |
--timeout | duration | HTTP request timeout | |
--search-domains | -d | []string | Filter search to specific domains |
--search-recency | -r | string | Filter by time: day, week, month, year |
--search-mode | -a | string | Search mode: web (default) or academic |
--search-context-size | -c | string | Search context size: low, medium, or high |
--location-lat | float64 | User location latitude | |
--location-lon | float64 | User location longitude | |
--location-country | string | User location country code | |
--return-images | -i | bool | Include images in response |
--return-related | -q | bool | Include related questions |
--stream | -S | bool | Enable streaming responses |
--image-domains | []string | Filter images by domains | |
--image-formats | []string | Filter images by formats |
Query-specific Options
| Option | Short | Type | Description |
|---|---|---|---|
--user-prompt | -p | string | User question/prompt (required) |
--sys-prompt | -s | string | System prompt to set AI behavior |
Configuration Files
pplx supports YAML configuration files to manage default settings and create reusable profiles for different use cases. This eliminates the need to specify the same flags repeatedly.
Quick Start
The easiest way to get started is with the interactive configuration wizard:
# Set your API key
export PERPLEXITY_API_KEY="your-api-key-here"
# Launch interactive wizard (recommended for first-time setup)
pplx config init --interactive
# Run your first query
pplx query -p "What are the latest developments in AI?"
The interactive wizard guides you through all configuration options with helpful prompts and suggestions.
Template-Based Quick Start
Alternatively, start quickly with pre-configured templates optimized for specific use cases:
# For academic research with scholarly sources
pplx config init --template research
# For creative writing and brainstorming
pplx config init --template creative
# For current news and events
pplx config init --template news
# View all available options with detailed documentation
pplx config init --template full-example
Each template comes with pre-tuned settings for temperature, search modes, domain filtering, and more. You can also browse all templates in the directory.
Manual Configuration
For advanced users or automation:
# Create a minimal configuration file
pplx config init
# View current configuration
pplx config show
# Validate configuration
pplx config validate
# Edit configuration in your default editor
pplx config edit
For comprehensive configuration documentation, see .
Configuration File Locations
pplx searches for configuration files in the following order:
~/.config/pplx/config.yaml- User config directory~/.config/pplx/pplx.yaml- Alternative user config~/.config/pplx/config.yml- YAML variant~/.config/pplx/pplx.yml- Alternative YAML variant
The first file found is used. Use pplx config path to see the active configuration file.
You can also specify a custom config file:
pplx query -p "your question" --config /path/to/config.yaml
Configuration Precedence
Settings are applied in the following order (later sources override earlier ones):
- Configuration file defaults
- Active profile settings (if using profiles)
- Environment variables (e.g.,
PERPLEXITY_API_KEY) - Command-line flags (highest priority)
This allows you to set sensible defaults in your config file while still overriding them on the command line when needed.
Configuration Structure
A configuration file has four main sections:
# Default values for all queries
defaults:
model: sonar
temperature: 0.2
max_tokens: 4000
# Search preferences
search:
mode: web # web or academic
recency: week # hour, day, week, month, year
context_size: medium # low, medium, high
domains: # Optional domain filtering
- nature.com
- science.org
# Output preferences
output:
stream: false
return_images: false
return_related: false
json: false
# API configuration
api:
timeout: 30s
Environment Variable Interpolation
Configuration values can reference environment variables using ${VAR_NAME} syntax:
api:
key: ${PPLX_API_KEY}
timeout: ${PPLX_TIMEOUT:-30s} # With default fallback
Working with Profiles
Profiles allow you to maintain different configurations for various use cases (research, creative writing, news, etc.).
Creating Profiles
# Create a new profile
pplx config profile create research "Academic research with verified sources"
# List all profiles
pplx config profile list
# Switch active profile
pplx config profile switch research
# Delete a profile
pplx config profile delete creative
Using Profiles in Config Files
# Active profile to use by default
active_profile: research
# Define multiple profiles
profiles:
research:
name: research
description: Academic research with verified sources
defaults:
model: llama-3.1-sonar-large-128k-online
temperature: 0.1
max_tokens: 2000
search:
mode: academic
context_size: high
recency: month
domains:
- arxiv.org
- nature.com
- science.org
output:
return_related: true
creative:
name: creative
description: Creative writing and brainstorming
defaults:
model: sonar
temperature: 0.9
max_tokens: 4000
frequency_penalty: 0.5
output:
stream: true
return_images: true
news:
name: news
description: Current news and events
defaults:
model: sonar
temperature: 0.2
search:
recency: day
context_size: high
domains:
- reuters.com
- bbc.com
- apnews.com
output:
return_related: true
return_images: true
Using Profiles from CLI
# Use a specific profile for a query
pplx config profile switch research
pplx query -p "Latest quantum computing research"
# Or override the active profile temporarily
pplx query -p "Write a creative story" --config creative.yaml
Configuration Management Commands
Initialize Configuration
# Create a new config file with defaults
pplx config init
# Create in a specific location
pplx config init --output ~/.config/pplx/config.yaml
# Force overwrite existing config
pplx config init --force
View Configuration
# Show current configuration
pplx config show
# Show specific profile
pplx config show --profile research
# Show configuration from specific file
pplx config show --config /path/to/config.yaml
Validate Configuration
# Validate current configuration
pplx config validate
# Validate specific file
pplx config validate --config /path/to/config.yaml
Edit Configuration
# Open config in default editor
pplx config edit
# Edit specific config file
pplx config edit --config /path/to/config.yaml
Example Use Cases
Research Workflow
Create a research profile for academic queries:
profiles:
research:
defaults:
model: llama-3.1-sonar-large-128k-online
temperature: 0.1
max_tokens: 2000
search:
mode: academic
context_size: high
recency: month
domains:
- arxiv.org
- nature.com
- science.org
- ieee.org
output:
return_related: true
Use it:
pplx config profile switch research
pplx query -p "Latest breakthroughs in quantum computing"
News Monitoring
Create a news profile for current events:
profiles:
news:
defaults:
temperature: 0.2
max_tokens: 1500
search:
recency: day
context_size: high
domains:
- reuters.com
- bbc.com
- apnews.com
- bloomberg.com
output:
return_related: true
return_images: true
Creative Writing
Create a creative profile with higher temperature:
profiles:
creative:
defaults:
temperature: 0.9
max_tokens: 4000
frequency_penalty: 0.5
presence_penalty: 0.3
output:
stream: true
return_images: true
Example Configuration Files
See the directory for complete configuration examples:
default.yaml- General purpose configurationresearch.yaml- Academic research with verified sourcescreative.yaml- Creative writing and brainstormingnews.yaml- Current news and events
Configuration Best Practices
-
Use profiles for different workflows: Create separate profiles for research, creative work, news monitoring, etc.
-
Set sensible defaults: Configure commonly used options in the defaults section to avoid repetitive flags.
-
Use environment variables for secrets: Store API keys in environment variables rather than directly in config files:
api: key: ${PPLX_API_KEY} -
Version control your configs: Keep your configuration files in version control (excluding sensitive data) to share setups across machines.
-
Override when needed: Remember that CLI flags always override config file settings, so you can easily adjust behavior for specific queries.
MCP Server (Model Context Protocol)
The pplx mcp-stdio command provides an MCP server that exposes Perplexity AI functionality to Claude Code and other MCP-compatible clients.
Quick Start with Claude Code
# Install the server
brew tap sgaunet/homebrew-tools
brew install sgaunet/tools/pplx
# or download from releases and place in PATH
# Add to Claude Code
claude mcp add perplexity-ai -s user -- pplx mcp-stdio
Manual Configuration
For Claude Code (via config file)
Add to your Claude Code MCP configuration:
{
"mcpServers": {
"perplexity-ai": {
"command": "pplx",
"args": ["mcp-stdio"],
"env": {
"PPLX_API_KEY": "your_perplexity_api_key_here"
}
}
}
}
Configure PPLX_API_KEY with your Perplexity AI API key in your environment or directly in the MCP config.
For Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or equivalent location:
{
"mcpServers": {
"perplexity-ai": {
"command": "/usr/local/bin/pplx",
"args": ["mcp-stdio"],
"env": {
"PPLX_API_KEY": "your_perplexity_api_key_here"
}
}
}
}
For Other MCP Clients
Any MCP-compatible client can use this server by executing:
PPLX_API_KEY=your_key /path/to/pplx mcp-stdio
MCP Tool: query
The MCP server exposes a single powerful tool called query with the following parameters:
Required Parameters
user_prompt(string): The user question/prompt
Optional Parameters
Core Parameters:
system_prompt(string): System prompt to guide AI behaviormodel(string): AI model to use (default: sonar-small-online)temperature(number): Response randomness (0.0-2.0)max_tokens(number): Maximum tokens in responsefrequency_penalty(number): Penalize frequent tokens (0.0-2.0)presence_penalty(number): Penalize already present tokens (0.0-2.0)top_k(number): Consider only top K tokenstop_p(number): Nucleus sampling thresholdtimeout(number): HTTP timeout in seconds
Search & Web Options:
search_domains(array): Filter search to specific domainssearch_recency(string): Filter by time: "day", "week", "month", "year", "hour"location_lat(number): User location latitudelocation_lon(number): User location longitudelocation_country(string): User location country codesearch_mode(string): Search mode: "web" or "academic"search_context_size(string): Context size: "low", "medium", "high"
Response Enhancement:
return_images(boolean): Include images in responsereturn_related(boolean): Include related questionsstream(boolean): Enable streaming (collected into complete response)
Image Filtering:
image_domains(array): Filter images by domainsimage_formats(array): Filter images by formats (jpg, png, etc.)
Response Formats (Sonar models only):
response_format_json_schema(string): JSON schema for structured outputresponse_format_regex(string): Regex pattern for structured output
Date Filtering:
search_after_date(string): Filter results published after date (MM/DD/YYYY)search_before_date(string): Filter results published before date (MM/DD/YYYY)last_updated_after(string): Filter results last updated after date (MM/DD/YYYY)last_updated_before(string): Filter results last updated before date (MM/DD/YYYY)
Deep Research:
reasoning_effort(string): For sonar-deep-research model: "low", "medium", "high"
Example Usage in Claude Code
Once configured, you can use the Perplexity MCP server directly in Claude Code:
Search for recent AI developments in computer vision with images
Claude Code will automatically use the MCP server to:
- Query Perplexity AI with your prompt
- Filter for recent information
- Include relevant images
- Return structured results with citations
Response Format
The MCP server returns JSON with the following structure:
{
"content": "AI response text with markdown formatting",
"model": "model_used_for_generation",
"usage": {
"prompt_tokens": 123,
"completion_tokens": 456,
"total_tokens": 579
},
"search_results": [
{
"title": "Article Title",
"url": "https://example.com/article",
"snippet": "Relevant excerpt..."
}
],
"images": [
{
"url": "https://example.com/image.jpg",
"description": "Image description"
}
],
"related_questions": [
"What are the latest AI breakthroughs?",
"How is computer vision evolving?"
]
}
Environment Variables
PPLX_API_KEY(required): Your Perplexity AI API key
Troubleshooting
- Server not starting: Verify
PPLX_API_KEYis set - Command not found: Ensure
pplxis in your PATH - Configuration issues: Check JSON syntax in MCP config files
- API errors: Verify your API key is valid and has sufficient credits
Advanced Configuration Examples
High-quality research with academic sources
{
"user_prompt": "Latest quantum computing breakthroughs",
"search_mode": "academic",
"search_context_size": "high",
"search_recency": "month",
"return_related": true,
"max_tokens": 2000
}
Location-based search with images
{
"user_prompt": "Best restaurants in Tokyo",
"location_lat": 35.6762,
"location_lon": 139.6503,
"location_country": "JP",
"return_images": true,
"image_formats": ["jpg", "png"],
"search_recency": "week"
}
Structured output for data processing
{
"user_prompt": "List top 5 programming languages",
"model": "sonar-small-online",
"response_format_json_schema": "{\"type\":\"object\",\"properties\":{\"languages\":{\"type\":\"array\",\"items\":{\"type\":\"string\"}}}}",
"max_tokens": 500
}