Noverload

You can connect your Noverload saved content to AI assistants using the Model Context Protocol (MCP) to enable advanced search, analysis, and insights across your content library.

How to use

Use MCP to link your saved content to supported AI assistants. You will provide a personal access token and the MCP configuration to your AI tool’s MCP integration. The integration will read your content, run searches, extract insights, and help you build narratives or identify connections.

How to install

Prerequisites: ensure you have Node.js and npm installed on your system.

# Prerequisites check (example)
node -v
npm -v

Option 1: Zero-Install with NPX (recommended for quick start)

{
  "command": "npx",
  "args": ["-y", "noverload-mcp@latest"]
}

Option 2: Global installation (requires manual updates)

npm install -g noverload-mcp

{
  "command": "noverload-mcp",
  "args": []
}

Additional configuration and setup

Prepare your access token and connect your MCP client to the Noverload MCP server. You will paste the generated configuration into your AI tool’s MCP settings or profile and start using your AI to query your saved content.

Configuration

Step 1: Retrieve your Personal Access Token from Noverload.

Step 2: Configure your AI tool with the MCP server details. Use the environment configuration string shown in the examples below to authorize access.

Security and safety notes

Use read-only mode by default to prevent unintended changes to your content. Protect your token and revoke it if needed. Create tokens scoped for specific use cases to minimize risk.

Troubleshooting

If you encounter token or connection issues, verify token correctness, token scope, and the API URL. Restart your AI assistant after configuration changes and check the MCP configuration in your tool’s settings.

Tools and capabilities overview

A comprehensive set of tools covers content retrieval, search, analysis, synthesis, and action tracking to help you explore and manage your saved content.

Notes on self-hosting

If you prefer to run your own MCP server, you can clone the project, install dependencies, build, and start the server according to your environment setup.

Available tools

list_saved_content

Browse your saved content library with filtering to quickly locate items of interest.

get_content_details

Retrieve full content details including summaries and insights for a selected item.

get_raw_content

Access the raw text content for processing or analysis.

batch_get_content

Retrieve multiple items in a single operation to optimize data transfer.

search_content

Perform advanced searches with support for multiple modes and filters.

find_similar_content

Discover content that semantically resembles a given item.

expand_search

Expand queries with related terms to broaden discovery.

synthesize_content

Create comprehensive analyses from multiple sources.

explore_topic

Deep dive into topics across your saved content.

find_connections

Identify patterns and relationships between content items.

extract_insights

Extract key takeaways and actionable insights.

get_timeline

Build a chronological understanding of topics.

build_knowledge_graph

Visualize concept relationships between content items.

extract_frameworks

Identify methodologies and structured approaches.

find_examples

Locate specific examples and case studies.

build_narrative

Create coherent narratives from multiple sources.

save_content

Save new URLs to your library (write mode only).

smart_sections

Organize content into intelligent sections.

list_actions

View extracted action items with priorities.

complete_action

Mark action items as done (write mode only).

list_goals

Access your Health, Wealth, Relationships goals.

estimate_search_tokens

Preview token usage before large operations.

get_instructions

Access user-specific guidance and context.

plan_query

Strategically plan complex multi-step analyses.