Octagon Deep ResearchSAFE
The Octagon Deep Research MCP server provides specialized AI-powered comprehensive research and analysis capabilities by integrating with advanced deep research agents. No rate limits, faster than ChatGPT Deep Research, more thorough than Grok DeepSearch or Perplexity Deep Research.
Overview
From the repository's own README, as read at the audited commit. Badges and raw HTML are left out.
The Octagon Deep Research MCP server provides specialized AI-powered comprehensive research and analysis capabilities by integrating with advanced deep research agents. No rate limits, faster than ChatGPT Deep Research, more thorough than Grok DeepSearch or Perplexity Deep Research. Add unlimited deep research functionality to any MCP client including Claude Desktop, Cursor, and other popular MCP-enabled applications.
Powered by [Octagon AI](https://docs.octagonagents.com) - Learn more about the Deep Research Agent at docs.octagonagents.com
[](https://youtu.be/yh1cyrm9aus)
🏆 Why Teams Choose Octagon's Enterprise-Grade Deep Research API
👉 8–10x faster than the leading incumbent—complex analyses complete in seconds, not minutes 👉 Greater depth & accuracy —pulls data from 3x more high-quality sources and cross-checks every figure 👉 Unlimited parallel runs—no rate caps, so your analysts can launch as many deep-dive tasks as they need (unlike ChatGPT Pro's 125-task monthly limit)
🚀 Core Differentiators
✅ No Rate Limits - Execute unlimited deep research queries without restrictions (vs ChatGPT Pro's 125-task monthly limit) ✅ Superior Performance - Faster than ChatGPT Deep Research, more thorough than Grok DeepSearch or Perplexity Deep Research ✅ Enterprise-Grade Speed - 8-10x faster than leading incumbents, with 3x more source coverage ✅ Universal MCP Integration - Add deep research functionality to any MCP client ✅ Multi-Domain Expertise - Comprehensive research across any topic or industry ✅ Advanced Data Synthesis - Multi-source aggregation with cross-verification of every figure
Features
✅ Comprehensive Research Capabilities
- Multi-source data aggregation and synthesis
- Academic r
bff99cf69feeOBSERVED · 2026-10-07Connect
Built from this server's own package name, version and transport as found in its source — not copied from anyone's documentation, so it cannot drift against a page we do not control. Replace the environment placeholders with a token scoped to the least it needs.
claude mcp add octagon-deep-research-mcp --env OCTAGON_API_KEY=${OCTAGON_API_KEY} -- npx -y [email protected]{
"mcpServers": {
"octagon-deep-research-mcp": {
"command": "npx",
"args": [
"-y",
"[email protected]"
],
"env": {
"OCTAGON_API_KEY": "${OCTAGON_API_KEY}"
}
}
}
}Exposed tools (1)
1 read · 0 write · 0 destructive.
| Tool | Risk | Description |
|---|---|---|
octagon-deep-research-agent | read |
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | PASS |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- not all pinned
- Secrets in source
- none-found
Findings (1)
@modelcontextprotocol/sdk, dotenv, openai, zod, @types/node, ts-node, typescript
Gates applied: no_behavioural_pass.
bff99cf69feefull audit observations/trust-audit/mcp-server/octagonai__octagon-deep-research.json · Report an issue / request a re-scanAudit history
Every audit this server has had. A grade with a past is a grade somebody is still checking.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-07 | bff99cf69fee | SAFE | B | 89 | first audit |
Questions
What is the Octagon Deep Research MCP server?
The Octagon Deep Research MCP server provides specialized AI-powered comprehensive research and analysis capabilities by integrating with advanced deep research agents. No rate limits, faster than ChatGPT Deep Research, more thorough than Grok DeepSearch or Perplexity Deep Research.
What tools does Octagon Deep Research expose?
1 in total: 1 read-only, 0 that write, and 0 that can delete or overwrite. Every one is listed on this page with its risk.
Is Octagon Deep Research safe to connect to an agent?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean server reads B.
What credentials does Octagon Deep Research need?
It reads OCTAGON_API_KEY from the environment. Give it a token scoped to the least it needs — an agent that can be talked into calling a tool can be talked into calling it with your credentials.
How does Octagon Deep Research run?
It speaks stdio, so it runs as a local process your client starts. It is published on npm as octagon-deep-research-mcp at 1.0.19.
How current is this page?
The grade is for one exact copy of the source (bff99cf69fee), read on 2026-10-07. The repository is watched and re-audited when it changes.