Octagon Deep Research MCP logo

Octagon Deep Research MCP

Organization
OctagonAI

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.

PublisherOctagonAI
Repositoryoctagon-deep-research-mcp
LanguageJavaScript
Forks
13
Stars
90
Available tools
0
Transport typestdio
Categories
LicenseMIT
Links
  • Connect tools to AI workflows

    Octagon Deep Research MCP exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 0 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    90 stars and 13 forks from the linked repository.

Octagon Deep Research MCP

Favicon 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 - Learn more about the Deep Research Agent at docs.octagonagents.com

Demo

๐Ÿ† Why Teams Choose Octagon's Enterprise-Grade Deep Research API

๐Ÿ‘‰ 8โ€“10x faster than the leading incumbentโ€”complex analyses complete in seconds, not minutes
๐Ÿ‘‰ Greater depth & accuracy โ€”pulls data from 3x more high-quality sources and cross-checks every figure
๐Ÿ‘‰ Unlimited parallel runsโ€”no rate caps, so your analysts can launch as many deep-dive tasks as they need (unlike ChatGPT Pro's 125-task monthly limit)

๐Ÿš€ Core Differentiators

โœ… No Rate Limits - Execute unlimited deep research queries without restrictions (vs ChatGPT Pro's 125-task monthly limit)
โœ… Superior Performance - Faster than ChatGPT Deep Research, more thorough than Grok DeepSearch or Perplexity Deep Research
โœ… Enterprise-Grade Speed - 8-10x faster than leading incumbents, with 3x more source coverage
โœ… Universal MCP Integration - Add deep research functionality to any MCP client
โœ… Multi-Domain Expertise - Comprehensive research across any topic or industry
โœ… Advanced Data Synthesis - Multi-source aggregation with cross-verification of every figure

Features

โœ… Comprehensive Research Capabilities

  • Multi-source data aggregation and synthesis
  • Academic research and literature review
  • Competitive landscape analysis
  • Market intelligence and trend analysis
  • Technical and scientific research
  • Policy and regulatory research
  • Real-time web scraping and data extraction

โœ… Universal Domain Coverage

  • Technology and AI research
  • Healthcare and medical research
  • Environmental and sustainability studies
  • Economic and business analysis
  • Scientific and engineering research
  • Social and cultural studies
  • Political and policy analysis

โœ… Advanced Analysis Tools

  • Comprehensive report generation
  • Cross-source verification
  • Trend identification and forecasting
  • Comparative analysis frameworks

Get Your Octagon API Key

To use Octagon Deep Research MCP, you need to:

  1. Sign up for a free account at Octagon
  2. After logging in, from left menu, navigate to API Keys
  3. Generate a new API key
  4. Use this API key in your configuration as the OCTAGON_API_KEY value

Prerequisites

Before installing or running Octagon Deep Research MCP, you need to have npx (which comes with Node.js and npm) installed on your system.

Mac (macOS)

  1. Install Homebrew (if you don't have it):

    bash
    /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
  2. Install Node.js (includes npm and npx):

    bash
    brew install node

    This will install the latest version of Node.js, npm, and npx.

  3. Verify installation:

    bash
    node -v
    npm -v
    npx -v

Windows

  1. Download the Node.js installer:
  2. Run the installer and follow the prompts. This will install Node.js, npm, and npx.
  3. Verify installation: Open Command Prompt and run:
    cmd
    node -v
    npm -v
    npx -v

If you see version numbers for all three, you are ready to proceed with the installation steps below.

Installation

Running on Claude Desktop

To configure Octagon Deep Research MCP for Claude Desktop:

  1. Open Claude Desktop
  2. Go to Settings > Developer > Edit Config
  3. Add the following to your claude_desktop_config.json (Replace your-octagon-api-key with your Octagon API key):
json
{
  "mcpServers": {
    "octagon-deep-research-mcp": {
      "command": "npx",
      "args": ["-y", "octagon-deep-research-mcp@latest"],
      "env": {
        "OCTAGON_API_KEY": "YOUR_API_KEY_HERE"
      }
    }
  }
}
  1. Restart Claude for the changes to take effect

Running on Cursor

Configuring Cursor Desktop ๐Ÿ–ฅ๏ธ Note: Requires Cursor version 0.45.6+

To configure Octagon Deep Research MCP in Cursor:

  1. Open Cursor Settings
  2. Go to Features > MCP Servers
  3. Click "+ Add New MCP Server"
  4. Enter the following:
    • Name: "octagon-deep-research-mcp" (or your preferred name)
    • Type: "command"
    • Command: env OCTAGON_API_KEY=your-octagon-api-key npx -y octagon-deep-research-mcp

If you are using Windows and are running into issues, try cmd /c "set OCTAGON_API_KEY=your-octagon-api-key && npx -y octagon-deep-research-mcp"

Replace your-octagon-api-key with your Octagon API key.

After adding, refresh the MCP server list to see the new tools. The Composer Agent will automatically use Octagon Deep Research MCP when appropriate, but you can explicitly request it by describing your research needs. Access the Composer via Command+L (Mac), select "Agent" next to the submit button, and enter your query.

Running on Windsurf

Add this to your ./codeium/windsurf/model_config.json:

json
{
  "mcpServers": {
    "octagon-deep-research-mcp": {
      "command": "npx",
      "args": ["-y", "octagon-deep-research-mcp@latest"],
      "env": {
        "OCTAGON_API_KEY": "YOUR_API_KEY_HERE"
      }
    }
  }
}

Running with npx

bash
env OCTAGON_API_KEY=your_octagon_api_key npx -y octagon-deep-research-mcp

Manual Installation

bash
npm install -g octagon-deep-research-mcp

Documentation

For comprehensive documentation on using Deep Research capabilities, please visit our official documentation at: https://docs.octagonagents.com

Specifically for the Deep Research Agent: Deep Research Agent Guide

The documentation includes:

  • Detailed API references
  • Research methodology guidelines
  • Examples and use cases
  • Best practices for comprehensive research
  • Advanced features and capabilities

Available Tool

octagon-deep-research-agent

Comprehensive deep research and analysis across any topic or domain.

The tool uses a single prompt parameter that accepts a natural language query. Include all relevant details in your prompt for optimal results.

๐Ÿ“š Example Research Queries

Technology & AI Research

  • "Research the current state of quantum computing development and commercial applications across major tech companies"
  • "Analyze the competitive landscape in large language models, comparing capabilities, limitations, and market positioning"
  • "Investigate recent developments in autonomous vehicle technology and regulatory challenges"
  • "Study the evolution of edge computing architectures and their impact on IoT deployment"

Healthcare & Medical Research

  • "Research breakthrough medical treatments for Alzheimer's disease developed in the last 3 years"
  • "Analyze the effectiveness of different COVID-19 vaccine technologies and their global distribution"
  • "Investigate the current state of gene therapy research for rare diseases"
  • "Study mental health treatment innovations and their accessibility across different demographics"

Environmental & Sustainability

  • "Research sustainable agriculture practices and their adoption rates globally"
  • "Analyze renewable energy adoption trends and policy drivers across different countries"
  • "Investigate the environmental impact of cryptocurrency mining and proposed solutions"
  • "Study carbon capture technologies and their commercial viability"

Business & Economics

  • "Analyze the gig economy's impact on traditional employment models and worker protections"
  • "Research the evolution of remote work policies post-pandemic and their effectiveness on productivity"
  • "Investigate supply chain resilience strategies adopted after global disruptions"
  • "Study the impact of digital transformation on traditional retail businesses"

Social & Cultural Studies

  • "Research the impact of social media algorithms on information consumption patterns and political polarization"
  • "Analyze changing demographics in urban areas and their impact on city planning"
  • "Investigate the effectiveness of different approaches to digital literacy education"
  • "Study the cultural impact of streaming services on traditional media consumption"

Science & Engineering

  • "Research advances in materials science for semiconductor manufacturing"
  • "Analyze the development of fusion energy technologies and timeline to commercialization"
  • "Investigate innovations in water purification technologies for developing regions"
  • "Study the engineering challenges and solutions for space exploration missions"

Policy & Governance

  • "Investigate recent developments in AI regulation across different countries and their potential impact"
  • "Research privacy legislation trends and their effects on technology companies"
  • "Analyze different approaches to cryptocurrency regulation globally"
  • "Study the effectiveness of various climate policy mechanisms"

Cybersecurity & Privacy

  • "Investigate cybersecurity threats in IoT devices and enterprise mitigation strategies"
  • "Research the evolution of ransomware attacks and defensive technologies"
  • "Analyze privacy-preserving technologies and their adoption in consumer applications"
  • "Study the security implications of quantum computing on current encryption methods"

Education & Learning

  • "Research the effectiveness of different online learning platforms and methodologies"
  • "Analyze the impact of AI tools on academic research and education"
  • "Investigate innovative approaches to STEM education in underserved communities"
  • "Study the future of skills-based learning and certification programs"

๐Ÿ” Research Capabilities

  • Multi-Source Analysis: Aggregates information from academic papers, industry reports, news sources, and expert opinions
  • Real-Time Data: Accesses current information and recent developments
  • Cross-Verification: Validates findings across multiple reliable sources
  • Trend Analysis: Identifies patterns and forecasts future developments
  • Competitive Intelligence: Comprehensive competitive landscape analysis
  • Technical Deep-Dives: Detailed analysis of complex technical topics
  • Policy Impact Assessment: Analysis of regulatory and policy implications
  • Market Dynamics: Understanding of market forces and business implications

Troubleshooting

  1. API Key Issues: Ensure your Octagon API key is correctly set in the environment or config file.
  2. Connection Issues: Make sure the connectivity to the Octagon API is working properly.
  3. Rate Limiting: No rate limits apply to Deep Research MCP - execute unlimited queries.

License

MIT


โญ Star this repo if you find it helpful for your research needs!

Installation

TypingMind
Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "octagon-deep-research-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "octagon-deep-research-mcp@latest"
      ],
      "env": {
        "OCTAGON_API_KEY": "YOUR_API_KEY_HERE"
      }
    }
  }
}

Use Octagon Deep Research MCP MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once Octagon Deep Research MCP is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add Octagon Deep Research MCP as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the Octagon Deep Research MCP MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "octagon-deep-research-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "octagon-deep-research-mcp@latest"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the Octagon Deep Research MCP MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the Octagon Deep Research MCP MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use Octagon Deep Research MCP to help me with this task?
Octagon Deep Research MCP
Sure. I read it.
Here is what I found using Octagon Deep Research MCP.

Frequently asked questions

What is the Octagon Deep Research MCP MCP server used for?

Octagon Deep Research MCP is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use Octagon Deep Research MCP MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use Octagon Deep Research MCP with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use Octagon Deep Research MCP MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With Octagon Deep Research MCP connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect Octagon Deep Research MCP MCP to TypingMind?

Octagon Deep Research MCP runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does Octagon Deep Research MCP MCP provide in TypingMind?

Octagon Deep Research MCP exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use Octagon Deep Research MCP MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Octagon Deep Research MCP requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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