MCP Server - Subin's Portfolio

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:

https://portfolio.subinb.com/mcp

This server is public and doesn’t require authentication.

What it exposes

The MCP server provides two tools that AI agents can use:

Tool	Description
Search	Searches across the portfolio to find relevant content, returning snippets with titles and links. Use this to discover information or find pages matching a query.
Query docs filesystem	Reads and navigates the portfolio’s virtual filesystem using shell-style commands. Use this to retrieve full page content, browse the docs structure, or extract specific sections, including batch reads across multiple pages in a single call.

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:

curl https://portfolio.subinb.com/.well-known/mcp

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 supports remote MCP servers natively through Connectors settings.

Open Connectors.

Go to Customize → Connectors.

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:

Field	Value
Name	`Subin's Portfolio`
URL	`https://portfolio.subinb.com/mcp`

Select Add.

Select Add custom connector. Enter the following:

Field	Value
Name	`Subin's Portfolio`
URL	`https://portfolio.subinb.com/mcp`

Select Add.

An Owner must first add the connector at the organization level:

Go to Organization settings → Connectors.

Select Add → Custom → Web. Enter the following:

Field	Value
Name	`Subin's Portfolio`
URL	`https://portfolio.subinb.com/mcp`

Select Add.

Members can then connect individually under Customize → Connectors.

Verify the connection.

Try this prompt in a new chat:

Search the portfolio and summarize Subin's experience with AI tools.

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.

Add globally
Add for a specific project

Run this command to add the MCP server to your global Claude Code configuration:

claude mcp add --transport http subin-portfolio https://portfolio.subinb.com/mcp

Run this command to add the MCP server scoped to a project:

claude mcp add --transport http --scope project subin-portfolio https://portfolio.subinb.com/mcp

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:

claude mcp list

Verify the connection.

Try this prompt in a new Claude Code session:

Search the portfolio and summarize Subin's experience with AI tools.

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:

codex mcp add subin-portfolio --url https://portfolio.subinb.com/mcp

Confirm the server is listed.

Verify the server is connected by running:

codex mcp list

Verify the connection.

Try this prompt in a new Codex session:

Search the portfolio and summarize Subin's experience with AI tools.

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:

~/.config/opencode/opencode.json

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.

opencode.json

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "subin-portfolio": {
      "type": "remote",
      "url": "https://portfolio.subinb.com/mcp",
      "enabled": true
    }
  }
}

Verify the connection.

Run the following command to confirm the server is listed and connected:

opencode mcp list

The subin-portfolio server should appear with a connected status.

Use in a session.

Start OpenCode and reference the server in your prompt:

Search the portfolio and summarize Subin's technical writing experience.

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:

~/.cursor/mcp.json

Add the MCP server.

Add the portfolio server to the mcpServers object. If you already have other servers configured, add this entry alongside them.

~/.cursor/mcp.json

{
  "mcpServers": {
    "subin-portfolio": {
      "url": "https://portfolio.subinb.com/mcp"
    }
  }
}

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:

Search the portfolio and summarize Subin's experience with AI tools.

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.

Workspace
User

Create or edit .vscode/mcp.json in your project root:

.vscode/mcp.json

{
  "servers": {
    "subin-portfolio": {
      "type": "http",
      "url": "https://portfolio.subinb.com/mcp"
    }
  }
}

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.

Add the MCP server.

Add the following:

mcp.json

{
  "servers": {
    "subin-portfolio": {
      "type": "http",
      "url": "https://portfolio.subinb.com/mcp"
    }
  }
}

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:

Search the portfolio and summarize Subin's experience with AI tools.

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:

https://portfolio.subinb.com/mcp

Tips for best results

Getting the most out of this MCP server requires guiding your AI client effectively.

Be specific in your prompts: The more precise your query, the more relevant the results.

Examples

Instead of	Try
Tell me about Subin	What are Subin’s key skills?
What has Subin done?	What developer documentation work is in Subin’s portfolio?
Summarize everything	What does Subin’s portfolio say about his API documentation experience?

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.
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.
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