About this MCP server
The Model Context Protocol (MCP) is an open standard for connecting AI applications to external content sources. This MCP server, generated from Subin’s portfolio site, gives MCP-compatible AI clients structured access to his documentation experience, work samples, and professional profile.
When you connect this MCP server to an AI tool, the tool can search Subin’s portfolio and retrieve full page content as part of its response generation, without relying on stale training data or general web search results.
MCP server URL
Subin’s portfolio MCP server is publicly available at:
This server is public and doesn’t require authentication.
What it exposes
The MCP server provides two tools that AI agents can use:
Agents decide when to use each tool based on context. For example, an agent might first search to find relevant pages and then query docs filesystem to read the full content of the most relevant results.
Discovery endpoint
Agents and tools can auto-discover this MCP server without prior configuration using the discovery document:
This returns a JSON document describing the available MCP servers and their transport configuration, allowing AI orchestration tools to locate and connect to the server automatically.
Connect to AI clients
Connect the MCP server to your preferred AI tool. Select your tool to get started.
Claude
Claude Code
OpenAI Codex
OpenCode
Cursor
VS Code
Other clients
Claude supports remote MCP servers natively through Connectors settings.Add a custom connector.
Free plan
Pro / Max plans
Team / Enterprise plans
Free accounts support one custom connector. If you’ve already used your
connector slot, remove the existing one first before adding this server.
Select Add custom connector. Enter the following: Select Add custom connector. Enter the following: An Owner must first add the connector at the organization level:Go to Organization settings → Connectors.
Select Add → Custom → Web. Enter the following: Verify the connection.
Try this prompt in a new chat:Claude should query the MCP server and return results based on the portfolio content. Claude Code lets you add MCP servers with a single CLI command.Add the MCP server.
Run this command to add the MCP server to your global Claude Code configuration: Run this command to add the MCP server scoped to a project:Project-scoped servers are stored in .claude/ and shared automatically with
teammates who clone the repo.
Confirm the server is listed.
Verify the server is connected by running: Verify the connection.
Try this prompt in a new Claude Code session:Claude Code should query the MCP server and return results based on the portfolio content. Codex lets you add MCP servers with a single CLI command. The configuration is shared between the Codex CLI and IDE extension.Add the MCP server.
Run this command to add the MCP server to your Codex configuration: Confirm the server is listed.
Verify the server is connected by running: Verify the connection.
Try this prompt in a new Codex session:Codex should query the MCP server and return results based on the portfolio content. OpenCode supports remote MCP servers through its JSON config file.Open the config file.
Open or create the global OpenCode config file at:To add the server scoped to a single project instead, create opencode.json in the project root. Add the MCP server.
Add the following under the mcp key. If you already have other servers configured, add this entry alongside them. Verify the connection.
Run the following command to confirm the server is listed and connected:The subin-portfolio server should appear with a connected status. Use in a session.
Start OpenCode and reference the server in your prompt: You can also add the server interactively by running opencode mcp add and
following the prompts.
Cursor supports MCP servers natively through its JSON config file.Open the config file.
Open or create the global Cursor MCP config file at: Add the MCP server.
Add the portfolio server to the mcpServers object. If you already have other servers configured, add this entry alongside them. Verify the connection.
Go to Cursor Settings → Tools & MCPs to confirm if the server is connected. A green indicator next to subin-portfolio confirms a successful connection.
Use in a session.
Open Cursor Chat and reference the portfolio in your prompt:Cursor will automatically query the server and return results based on the portfolio content. GitHub Copilot in Visual Studio Code supports MCP servers through a workspace or user-level configuration file.Add the MCP server.
Create or edit .vscode/mcp.json in your project root: To add the server globally across all workspaces:Open the command palette.
Press Ctrl+Shift+P or Cmd+Shift+P.
Open the user MCP configuration.
Type MCP: Open User Configuration and select it.
Enable the MCP server.
After saving, open Copilot Chat and select the Configure Tools icon to enable the portfolio MCP server for your chat sessions.
Verify the connection.
Try this prompt in a new Copilot Chat:Copilot should query the MCP server and return results based on the portfolio content. Any MCP-compatible client can connect to this server using the HTTP transport. Use the following URL when your client asks for a server endpoint: Tips for best results
Getting the most out of this MCP server requires guiding your AI client effectively.
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Be specific in your prompts: The more precise your query, the more relevant the results.
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Keep queries single-topic: MCP retrieval works best on focused questions. Broad queries like Tell me everything about Subin return shallow results across many pages. Single-topic queries return deeper, more useful content.
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Disconnect when not in use: Active MCP servers consume part of your AI’s
context window. Disconnecting servers you’re not using keeps more context
available for your actual work.
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Combine with your own context: The MCP server retrieves what’s
in the portfolio. You can combine that with your own context to
get more tailored answers:
Check Subin's fit for the role
Last modified on May 10, 2026