Nexus Multi Agent

v1.0.0

A powerful MCP server built with NitroStack

Connection Setup

Add via Cursor Settings UI (Settings > Features > MCP > Add New MCP Server):

{
  "mcpServers": {
    // your other mcp servers
    "nexus-multi-agent": {
      "url": "https://nexus-6a59eeb3-cipherx-amrita-university-amritapuri-campus.app.nitrocloud.ai/mcp"
    }
  }
}

Connect remote tools directly via Claude's Web UI:

Add custom connector BETA
Connect Claude to your data and tools. Learn more about connectors or get started with pre-built ones.
Advanced settings
Only use connectors from developers you trust. Anthropic does not control which tools developers make available and cannot verify that they will work as intended or that they won't change.

Configure custom tools directly via ChatGPT's Web UI:

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Add the following configuration block under mcpServers in your Antigravity configuration file (~/.gemini/config/mcp_config.json):

{
  "mcpServers": {
    // your other mcp servers
    "nexus-multi-agent": {
      "serverUrl": "https://nexus-6a59eeb3-cipherx-amrita-university-amritapuri-campus.app.nitrocloud.ai/mcp"
    }
  }
}

Add the following configuration block to your Codex configuration file (~/.codex/config.toml):

[mcp_servers.nexus-multi-agent]
url = "https://nexus-6a59eeb3-cipherx-amrita-university-amritapuri-campus.app.nitrocloud.ai/mcp"

Connect directly using the Server-Sent Events endpoint:

https://nexus-6a59eeb3-cipherx-amrita-university-amritapuri-campus.app.nitrocloud.ai/mcp
Available Tools
explore_academic_sources

Explores academic sources and evidence for a research topic or study question.

build_learning_path

Builds a structured study plan or learning path from a topic, goal, and timeline.

generate_debate_position

Simulates a debate agent that challenges the main claim and presents opposing academic viewpoints.

review_learning_output

Reviews a draft, submission, or study output for clarity, structure, and rubric alignment.

compose_exec_strategy

Turns findings into a structured academic summary and action plan.

orchestrate_multi_agent_consensus

Runs the full five-agent workflow and creates an academic consensus board with action items.

rank_research_options

Creates a ranked list of research directions or study options for a topic.

draft_feedback_plan

Produces a feedback and improvement plan for a draft, presentation, or learning artifact.

summarize_agent_opinions

Synthesizes opinions from multiple educational agents into a concise consensus summary.

build_execution_checklist

Creates a practical execution checklist for a learning, teaching, or research plan.

map_key_concepts

Maps the most important concepts, themes, and subtopics for a subject.

generate_quiz_outline

Creates a compact quiz outline for a topic to support learning and assessment.

build_research_summary

Builds a concise summary of research findings and next steps for a topic.