How to Use the MIT DBLP MCP in Claude Code

Q: How do I add the MIT DBLP server to Claude Code?

Use the command claude mcp add followed by the server URL. Claude Code will then index the tools and make them available for your terminal session.

Run headless research queries with Claude Code and the MIT DBLP MCP Server.

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Connect MIT DBLP MCP to Claude Code

Create your Vinkius account to connect MIT DBLP to Claude Code and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup MIT DBLP with Claude Code

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Claude

Perplexity

Terminal-based research for Claude Code

Pipe the output of `search_publications` directly into your shell scripts. Claude Code interacts with the server to find papers, allowing you to script complex literature reviews without a browser. It handles the JSON stream from the API efficiently. You get the data you need for your CI/CD pipelines or automated reports immediately.

Scripted co-author network analysis

Use `get_coauthors` within your terminal tasks to map collaboration density. Claude Code executes these calls in sequence, making it easy to generate network statistics for large datasets. It also supports `get_author_stats` for quick productivity checks. You can feed these metrics into other command-line tools to visualize research impact.

Venue-specific data scraping

Retrieve conference proceedings using `get_venue_publications`. Claude Code can automate the extraction of specific year data, helping you keep your local research mirror up to date. By combining this with `search_venues`, you can programmatically track the output of specific CS communities. It works perfectly in headless environments.

Setup guide

Set up MIT DBLP MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see mit-dblp-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest MIT DBLP transactions." It will automatically discover and invoke the available MIT DBLP tools.

Terminal

claude mcp add --transport http mit-dblp-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the MIT DBLP MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "mit-dblp-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DBLP. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about MIT DBLP MCP in Claude Code

Use the command `claude mcp add` followed by the server URL. Claude Code will then index the tools and make them available for your terminal session.

Yes. Because it is a CLI tool, it works well with shell scripts. You can chain multiple tool calls to automate data extraction from DBLP.

The server uses a local transport. Your queries are direct requests to the DBLP API, and the data remains in your local environment.

You get access to all 16 tools. This includes everything from `search_database_papers` to `get_publication`, all accessible via the command line.

The server does not track your IP or query history. It simply acts as a bridge between your terminal and the public academic database.

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