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Octagon Deep Research

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.

Cognium trust score

100%

Tier

Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: ai-ml
Source: PulseMCP
Repository: github.com/octagonai/octagon-deep-research-mcp
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve Octagon Deep Research from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"