Back to Browse

Openalex MCP Server

Developer ToolsLow Risk10.0MCP RegistryLocalRemote
Free

Server data from the Official MCP Registry

OpenAlex MCP — wraps the OpenAlex API (scholarly works, free, no auth)

About

OpenAlex MCP — wraps the OpenAlex API (scholarly works, free, no auth)

Remote endpoints: streamable-http: https://gateway.pipeworx.io/openalex/mcp

Security Report

10.0
Low Risk10.0Low Risk

Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry. Trust signals: trusted author (2596/2596 approved).

50 tools verified · Open access · 1 issue found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

file_system

Check that this permission is expected for this type of plugin.

HTTP Network Access

Connects to external APIs or services over the internet.

env_vars

Check that this permission is expected for this type of plugin.

What You'll Need

Set these up before or after installing:

Optional Pipeworx API key. Without it calls are anonymous and capped daily; a free key raises the cap.Required

Environment variable: PIPEWORX_API_KEY

How to Install & Connect

Available as Local & Remote

This plugin can run on your machine or connect to a hosted endpoint. during install.

Documentation

View on GitHub

From the project's GitHub README.

OpenAlex — Open Catalog of Scholarly Works

OpenAlex is a free, open replacement for Microsoft Academic Graph (which shut down in 2022). 240M+ scholarly works with structured data on authors, institutions, concepts, citations, and venues. Open-source data model, generous API. Free, no auth (polite User-Agent + email recommended).

Part of Pipeworx — an MCP gateway connecting AI agents to 1856+ live data sources. This is an independent, unofficial integration — not affiliated with, endorsed by, or published by the upstream provider.

Why this matters for AI agents

Where Semantic Scholar is search-focused and Crossref is DOI-focused, OpenAlex is the most comprehensive structured graph: papers + authors + institutions + funders + concepts, all linked. For institutional analysis, citation networks, or systematic literature review, OpenAlex covers ground the others don't.

Common flows:

  • Work lookup. Find a paper by DOI, title, or OpenAlex ID; get full structured record.
  • Author / institution. Search Yale's CS department's papers in 2024.
  • Concept browsing. Papers tagged with "transformer architecture" or "CRISPR Cas9."
  • Journal publishing model. Is a journal subscription, hybrid or open access? Look up by ISSN (print or electronic).
  • Citation graph. "Who cites paper X?" or "What does paper X cite?"

Citable URI: pipeworx://openalex/work/{work_id}.

Auth

Free, public. OpenAlex strongly encourages identifying yourself via mailto= query parameter or User-Agent for "polite pool" priority. Pipeworx forwards mailto=support@pipeworx.io and User-Agent: Pipeworx (mailto:support@pipeworx.io) automatically.

Entity types

OpenAlex models 5 entity types, each with stable IDs:

EntityID prefixExample
Work (paper)WW2741809807
AuthorAA1234567890
InstitutionII97018004 (Yale)
Venue (journal/conference)VV202381698
Concept (subject taxonomy)CC41008148 (computer science)

Works are linked to authors, institutions (where authors are affiliated), venues (where they were published), and concepts (what they're about). Cross-entity queries are powerful.

Common pitfalls

  • Author disambiguation. OpenAlex makes a serious effort but isn't perfect. The same person may have separate Author IDs across early-career vs late-career; common-name authors split across entities. Cross-reference with ORCID where available.
  • Concept hierarchy depth. OpenAlex concepts form a 6-level tree. "Computer science" level 0 is too coarse for most queries; level 3-4 ("transformer model", "BERT model") is more useful.
  • Open access status. OpenAlex tracks oa_status (gold, green, hybrid, bronze, closed). Use it to surface free-to-read versions in your output.
  • Citation count vs. cited-by. OpenAlex computes citation counts from its own corpus. Same paper can show different counts in Google Scholar (broader) and Web of Science (narrower).
  • Lag. New papers appear within weeks. Citations to those papers take longer because citing papers must themselves be indexed.
  • Tied to Semantic Scholar? OpenAlex and Semantic Scholar are separate projects with separate data. Some overlap in coverage; some divergence in metadata. Use both for comprehensive lookups.

Quick Start

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

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

What this endpoint actually serves

tools/list at https://gateway.pipeworx.io/openalex/mcp returns the tools in the table above plus the shared Pipeworx meta-tools — ask_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 1856+ data sources. The only difference is which pack's tools are listed directly; ask_pipeworx reaches all of them from either one.

No MCP client? Call it over HTTP

curl -X POST https://gateway.pipeworx.io/v1/tools/openalex_search_works \
  -H 'Content-Type: application/json' \
  -d '{"query":"transformer neural networks"}'

No account needed for the first calls. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/openalex_search_works. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.

Run it from npm

@pipeworx/mcp-openalex is a local stdio bridge to the Pipeworx gateway: your MCP client starts it with npx, and it forwards every call to the same https://gateway.pipeworx.io/openalex/mcp endpoint shown above. It needs network access; there is no offline mode.

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

Without a key it calls anonymously, capped at 50 calls a day. A free account raises that to 200 a day: get a key at https://pipeworx.io/signup and add "env": { "PIPEWORX_API_KEY": "<your key>" } to the server entry. The key is sent as a Bearer token, the same way a hosted connection sends it, so calls are metered and billed exactly as they are there.

It lists only this pack's tools by default. Set PIPEWORX_META_TOOLS=1 to also list ask_pipeworx and the other gateway-wide tools.

Behind an HTTPS proxy: Node's built-in fetch does not read HTTPS_PROXY by default. Newer Node releases honour it when NODE_USE_ENV_PROXY=1 is set; check your Node version's documentation.

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 Openalex data" })

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

More

License

MIT

Reviews

No reviews yet

Be the first to review this server!