# Perplexity Research

> Use this tool when you need to retrieve up-to-date information on a wide range of topics, providing factual and current data without leaving the conversation interface. It solves problems of information gathering and verification, accepting natural language queries and returning comprehensive research reports with source citations. Ideal for applications requiring accurate and reliable information, it processes inputs through Perplexity's Sonar models and outputs structured research reports.

Canonical page: https://skillsregistry.net/skills/chew-z-perplexity-research  
JSON: https://api.skillsregistry.net/v1/skills/chew-z-perplexity-research

## Description

ResearchMCP provides internet research capabilities through Perplexity AI's API, enabling AI assistants to retrieve up-to-date information on a wide range of topics. The server exposes a 'research' tool that accepts natural language queries, processes them through Perplexity's Sonar models, and returns comprehensive research reports with source citations. It features robust error handling with degraded mode operation, configurable retry mechanisms for network issues, and structured logging for better debugging. Particularly valuable for applications requiring factual, current information without leaving the conversation interface.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/chew-z-perplexity-research)
- **Repository:** <https://github.com/chew-z/researchmcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "chew-z-perplexity-research"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chew-z-perplexity-research` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chew-z-perplexity-research/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt