Nexus-MCP Knowledge Search

Developers managing knowledge across disparate silos like Notion and Supabase often struggle with retrieval latency and context switching. This skill provides a structured workflow for AI agents to interface with an existing Nexus-MCP server, enabling unified search across internal documentation and databases.

What it does

• Multi-source search query both Notion pages and Supabase records through a single interface.
• Contextual synthesis summarize findings from multiple sources while clearly distinguishing between facts and inferences.
• Source attribution include specific titles and identifiers provided by the MCP tools for every result.
• Safe retrieval prioritize read-only operations to prevent accidental data modification during search.

How it works

1. Identify the specific project, date range, or keywords the user needs to find.
2. Inspect the available Nexus-MCP tools exposed by the local environment to determine specific search capabilities.
3. Query the connected Notion and Supabase instances using the relevant read-only tools.
4. Report a consolidated summary of the findings or provide troubleshooting steps if the server is unreachable.

Frameworks & tools

Requires a functional Nexus-MCP server installation and an AI client that supports MCP tools. Designed for environments integrating Notion and Supabase.

Why this beats prompting it yourself

Standard prompts often hallucinate search results or fail to distinguish between multiple documentation sources. This skill enforces a strict verification loop, ensuring the agent only reports data actually returned by the Nexus-MCP server while maintaining read-only safety by default.

Use cases

• Compare deployment notes in Notion with historical migration records in Supabase.
• Locate specific onboarding documentation across multiple internal workspaces.
• Retrieve and summarize project-specific database schemas for new team members.

Known limitations

Does not include the Nexus-MCP server, credentials, or databases. Depends entirely on the user's local MCP configuration and tool availability within their AI client.