mcp-core-research

MCP serverSearch

CORE Research MCP — wraps CORE API (api.core.ac.uk/v3)

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use mcp-core-research

From the project's README

As published by pipeworx-io/mcp-core-research in README.md.

CORE Research MCP — wraps CORE API (api.core.ac.uk/v3)

Part of Pipeworx — an MCP gateway connecting AI agents to 1573+ live data sources.

Tools

ToolDescription
search_papersSearch open-access research papers by keyword (e.g., "machine learning healthcare"). Returns titles, authors, abstracts, DOIs, and download links. Useful for literature reviews and finding academic sources.
get_paperGet full metadata for a research paper by its CORE ID. Returns title, authors, abstract, full text link, DOI, publisher, year, and citation count.

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

{
  "mcpServers": {
    "core-research": {
      "url": "https://gateway.pipeworx.io/core-research/mcp"
    }
  }
}

What this endpoint actually serves

tools/list at https://gateway.pipeworx.io/core-research/mcp returns the tools in the table above plus the shared Pipeworx meta-toolsask_pipeworx, discover_tools, search_within, remember/recall and the rest of the gateway-wide set. So the tool count you see is larger than this table: a single-pack endpoint currently lists roughly 30 shared tools alongside the pack's own. The connection's initialize response states its exact scope, and is the authoritative answer for a given day.

This is deliberate, not multiplexing by accident. The meta-tools are what let a scoped connection answer a question this pack does not cover — via ask_pipeworx, which routes across the whole catalog — without you adding a second MCP server. There is currently no way to mount a pack endpoint without them; if the extra schemas cost you more context than the routing is worth, connect to the full gateway once rather than to several pack endpoints.

Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://gateway.pipeworx.io/mcp"
    }
  }
}

Both URLs reach the same gateway and the same 1573+ data sources. The only difference is which pack's tools are listed directly; ask_pipeworx reaches all of them from either one.

Standalone (no gateway account)

This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:

{
  "mcpServers": {
    "core-research": {
      "command": "npx",
      "args": ["-y", "@pipeworx/mcp-core-research"]
    }
  }
}

Or run it directly to confirm it starts:

npx -y @pipeworx/mcp-core-research

It speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call for only this pack's tools — none of the shared meta-tools the gateway connection above adds. Same source, same tools, no ask_pipeworx routing.

Using with ask_pipeworx

Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:

ask_pipeworx({ question: "your question about Core Research data" })

The gateway picks the right tool and fills the arguments automatically.

More

License

MIT

Advanced
Delivery
core-research MCP server → your ahel gateway (mcp.ahel.ai) → every connected AI client.
Catalog kind
mcp-server
Gateway key
io-github-pipeworx-io-core-research
Source
github.com/pipeworx-io/mcp-core-research
Hosted endpoint
https://gateway.pipeworx.io/core-research/mcp