Is the perplexity-ai MCP server actively maintained?

The perplexity-ai MCP server was last committed 1mo ago and has 13 contributors. Issue health: 50% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

perplexity-ai MCP Server

Name: escapeWu/perplexity-ai
Rating: 3.7 (1 reviews)
Author: escapeWu

escapeWu/perplexity-ai

Score: 67.7 Rank #4531 MCP Server

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A third-party Perplexity MCP/REST API implementation that leverages Pro account Pool to provide unlimited quota for ask and deep search capabilities.

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Overview

escapeWu/perplexity-ai is a Python tool licensed under MIT. A third-party Perplexity MCP/REST API implementation that leverages Pro account Pool to provide unlimited quota for ask and deep search capabilities. Topics: 2api, claude-code, mcp, oai, perplexity-ai, pool, skill.

Ranked #4531 out of 24846 indexed tools.

Has 13 contributors.

Ecosystem

Python MIT

2apiclaude-codemcpoaiperplexity-aipoolskill

Score Breakdown

Stars 15% 171

171 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 13

13 contributors → active community

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 28

Description Good

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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Freshness high impact

Last commit was 45 days ago — a recent commit would boost your freshness score

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Markdown

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Details

Stars: 171
Forks: 28
Open Issues: 0
Closed Issues: 0
Contributors: 13
Dependents: —
Language: Python
License: MIT
Last Commit: 1mo ago

Matched Queries

topic:mcp

From the README

# Thanks for [LINUX DO](https://linux.do/)

# Perplexity MCP Server

An unofficial Perplexity.ai server that exposes search capabilities through MCP (Model Context Protocol) and OpenAI-compatible endpoints. Supports multi-token pools for load balancing, health monitoring, and various search modes.

## AGENT READ — Deployment

> Read this section before advising on or executing deployment. A request for documentation,
> explanation, or review does **not** authorize a live deployment. Only change a server when the
> user explicitly asks to deploy, update, rebuild, restart, or roll out the service.

### Route the request

| User intent | Agent action |
|---|---|
| Explain or prepare a local installation | Use the Quick Start below; do not change remote systems. |
| Deploy the configured production server | Follow [`.agents/skills/server-deploy/SKILL.md`](.agents/skills/server-deploy/SKILL.md) exactly. |
| Validate or diagnose a deployment | Start with `config`, `verify`, `status`, and `lo

Read full README on GitHub →