# Octagon Deep Research

> Use this tool when you need to conduct comprehensive research across multiple sources and domains, aggregating data and synthesizing insights to inform market intelligence, academic analysis, or policy investigations. It solves problems of information overload and limited research capabilities, providing thorough and unbiased analysis through a single API interface. The tool accepts complex research queries as input and outputs detailed reports, making it ideal for applications requiring professional-grade research capabilities, such as building AI assistants or supporting business strategy development.

Canonical page: https://skillsregistry.net/skills/octagonai-deep-research  
JSON: https://api.skillsregistry.net/v1/skills/octagonai-deep-research

## Description

This Octagon Deep Research MCP server by Octagon AI provides AI agents with specialized deep research capabilities through the Octagon API, offering comprehensive multi-source data aggregation, web scraping, academic research synthesis, competitive analysis, market intelligence, technical analysis, policy research, and trend analysis with no rate limits. Built with TypeScript using the MCP SDK and OpenAI client integration, it features streaming response processing, environment variable configuration, and robust error handling, positioning itself as faster than ChatGPT Deep Research and more thorough than Grok DeepSearch or Perplexity Deep Research. The implementation supports complex research queries across any domain through a single deep research agent tool, making it valuable for market research, competitive intelligence, academic analysis, policy investigation, and building AI assistants that need professional-grade research capabilities with comprehensive report generation.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/octagonai-deep-research)
- **Repository:** <https://github.com/octagonai/octagon-deep-research-mcp>

## 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": "octagonai-deep-research"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/octagonai-deep-research` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/octagonai-deep-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