by spences10
Perplexity Search is an AI writing tool using real-time web search for fast fact-checking, research, and high-quality co
Integrates Perplexity's AI API to provide chat completion capabilities with predefined prompt templates for technical documentation, code review, and other specialized use cases.
Perplexity Search is a community-built MCP server published by spences10 that provides AI assistants with tools and capabilities via the Model Context Protocol. Perplexity Search is an AI writing tool using real-time web search for fast fact-checking, research, and high-quality co It is categorized under ai ml, developer tools.
You can install Perplexity Search in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
Perplexity Search is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Perplexity Search is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Perplexity Search reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Useful MCP listing: Perplexity Search is the kind of server we cite when onboarding engineers to host + tool permissions.
Strong directory entry: Perplexity Search surfaces stars and publisher context so we could sanity-check maintenance before adopting.
I recommend Perplexity Search for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
I recommend Perplexity Search for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Strong directory entry: Perplexity Search surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Perplexity Search is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Perplexity Search has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Perplexity Search is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
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This repository is no longer maintained.
The functionality of this tool is now available in mcp-omnisearch, which combines multiple MCP tools in one unified package.
Please use mcp-omnisearch instead.
A Model Context Protocol (MCP) server for integrating Perplexity's AI API with LLMs. This server provides advanced chat completion capabilities with specialized prompt templates for various use cases.
<a href="https://glama.ai/mcp/servers/zlqdizpsr9"> <img width="380" height="200" src="https://glama.ai/mcp/servers/zlqdizpsr9/badge" /> </a>This server requires configuration through your MCP client. Here are examples for different environments:
Add this to your Cline MCP settings:
{
"mcpServers": {
"mcp-perplexity-search": {
"command": "npx",
"args": ["-y", "mcp-perplexity-search"],
"env": {
"PERPLEXITY_API_KEY": "your-perplexity-api-key"
}
}
}
}
For WSL environments, add this to your Claude Desktop configuration:
{
"mcpServers": {
"mcp-perplexity-search": {
"command": "wsl.exe",
"args": [
"bash",
"-c",
"source ~/.nvm/nvm.sh && PERPLEXITY_API_KEY=your-perplexity-api-key /home/username/.nvm/versions/node/v20.12.1/bin/npx mcp-perplexity-search"
]
}
}
}
The server requires the following environment variable:
PERPLEXITY_API_KEY: Your Perplexity API key (required)The server implements a single MCP tool with configurable parameters:
Generate chat completions using the Perplexity API with support for specialized prompt templates.
Parameters:
messages (array, required): Array of message objects with:
role (string): 'system', 'user', or 'assistant'content (string): The message contentprompt_template (string, optional): Predefined template to use:
technical_docs: Technical documentation with code examplessecurity_practices: Security implementation guidelinescode_review: Code analysis and improvementsapi_docs: API documentation in JSON formatcustom_template (object, optional): Custom prompt template with:
system (string): System message for assistant behaviourformat (string): Output format preferenceinclude_sources (boolean): Whether to include sourcesformat (string, optional): 'text', 'markdown', or 'json' (default:
'text')include_sources (boolean, optional): Include source URLs (default:
false)model (string, optional): Perplexity model to use (default:
'sonar')temperature (number, optional): Output randomness (0-1, default:
0.7)max_tokens (number, optional): Maximum response length
(default: 1024)pnpm install
pnpm build
pnpm dev
The project uses changesets for version management. To publish:
pnpm changeset
pnpm changeset version
pnpm release
Contributions are welcome! Please feel free to submit a Pull Request.
MIT License - see the LICENSE file for details.
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.