MCP Perplexity Server
@sibbl
About MCP Perplexity Server
A MCP Perplexity API server written in Typescript with stdio and SSE transport support.
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-perplexity-api": {
"command": "docker",
"args": [
"compose",
"up"
]
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is MCP Perplexity Server?
MCP Perplexity Server provides an API to ask questions to a model behind the Perplexity API, wrapped in the Model Context Protocol (MCP). It is intended for developers who want to integrate Perplexity AI’s conversational search into MCP‑compatible applications.
How to use MCP Perplexity Server?
Set up the server via Docker (docker compose up) or Node.js (pnpm install && pnpm start after setting environment variables). You must configure MCP_PERPLEXITY_API_KEY with your Perplexity API key. The server runs on stdio (default) or SSE transport; for SSE, the endpoint is http://localhost:8080/sse by default.
Key features of MCP Perplexity Server
- Provides MCP‑compatible API for Perplexity AI models
- Supports both stdio and SSE transport protocols
- Configurable default model and model list
- Optional bearer authentication for SSE endpoints
- Easy deployment via Docker Compose or Node.js
Use cases of MCP Perplexity Server
- Integrate Perplexity’s conversational search into MCP‑based AI assistants
- Build a question‑answering tool that uses Perplexity’s up‑to‑date web knowledge
- Run a local MCP server that proxies queries to Perplexity for MCP clients
FAQ from MCP Perplexity Server
Do I need a Perplexity API key?
Yes, the MCP_PERPLEXITY_API_KEY environment variable is required and must contain your Perplexity API key.
What transport methods are supported?
The server supports stdio (default) and SSE transport, configured by the MCP_TRANSPORT variable.
How can I run the server?
You can run it using Docker Compose with the provided docker-compose.yml or directly via Node.js with pnpm install && pnpm start.
What models are available?
The default model is sonar-pro; you can set a comma‑separated list of models via MCP_PERPLEXITY_MODELS (default: sonar,sonar-pro).
Is authentication required for SSE?
No, but you can enable optional bearer authentication by setting MCP_SSE_AUTH_HEADER_VALUE to a token.
Frequently asked questions
Do I need a Perplexity API key?
Yes, the `MCP_PERPLEXITY_API_KEY` environment variable is required and must contain your Perplexity API key.
What transport methods are supported?
The server supports stdio (default) and SSE transport, configured by the `MCP_TRANSPORT` variable.
How can I run the server?
You can run it using Docker Compose with the provided `docker-compose.yml` or directly via Node.js with `pnpm install && pnpm start`.
What models are available?
The default model is `sonar-pro`; you can set a comma‑separated list of models via `MCP_PERPLEXITY_MODELS` (default: `sonar,sonar-pro`).
Is authentication required for SSE?
No, but you can enable optional bearer authentication by setting `MCP_SSE_AUTH_HEADER_VALUE` to a token.
Basic information
More AI & Agents MCP servers

Lumify Sports Intelligence
LumifyAgent-ready sports intelligence API: live scores, odds, line movement, public betting splits, and explainable bet confidence — via 16 MCP tools at https://lumify.ai/mcp. Get a free key instantly — no signup, email, or ca
GetIntel
tarang8811Public docs + tool manifest for the GetIntel MCP connector (app.getintel.ai)
MCP Client for Ollama (ollmcp)
joniglHarness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools, prompts, resources), agent mode, multi-server, model switching, streaming responses, human-in-the-loop, thinking mode, model params config, system prompts, and saved pre
Model Context Protocol for Unreal Engine
chongdashuEnable AI assistant clients like Cursor, Windsurf and Claude Desktop to control Unreal Engine through natural language using the Model Context Protocol (MCP).
Mcp Agent
lastmile-aiBuild effective agents using Model Context Protocol and simple workflow patterns
Comments