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PHoenixs57

literature-search-mcp

by PHoenixs57

literature-search-mcp

A standalone Node.js 22 TypeScript MCP server that searches seven scholarly metadata providers over stdio, normalizes records, deduplicates them, and applies deterministic reciprocal-rank fusion.

For ZIP packaging, recipient installation, Claude Code registration, permissions, updates, troubleshooting, and uninstallation, see the Chinese guide: INSTALL_ZH.md.

MCP tools

The server registers exactly three tools:

  • literature_search — search selected providers or all providers by default.

  • literature_sources — list supported providers, limitations, and whether optional environment variables are configured.

  • literature_get_fulltext — fetch open-access full text from Europe PMC (PMC Open Access subset) for a paper identified by pmcid, pmid, or doi, returning title, abstract, structured sections, a joined plain-text full_text, and metadata.

literature_search accepts:

Input

Type

Default

Notes

query

string

required

Search expression. Rich syntax (fielded, wildcard, Boolean) is passed through to providers that support it natively (PubMed [Field], Europe PMC FIELD:, arXiv field:); Crossref, OpenAlex, Semantic Scholar, and bioRxiv receive a sanitized keyword form so wildcards/fields never break them.

limit

integer 1–50

10

Maximum fused results returned.

sources

source ID array

all seven

pubmed, europepmc, biorxiv, crossref, openalex, semantic-scholar, arxiv

year_from

integer

unset

Inclusive lower publication year.

year_to

integer

unset

Inclusive upper publication year.

open_access

boolean

unset

Require positive open-access or PDF evidence.

abstract_max_chars

integer 1–3000

3000

Maximum characters returned for each provider-supplied abstract or summary.

Results include title, cleaned provider-supplied abstracts or summaries capped at abstract_max_chars, normalized identifiers, canonical/PDF URLs, year, authors and venue when available, reciprocal-rank score, source evidence, and per-source statuses. literature_search never downloads full text, fetches citation graphs, or retrieves references/citations. Open-access full text is available through the separate literature_get_fulltext tool (Europe PMC OA subset only; input pmcid/pmid/doi; output title, abstract, structured sections, and a joined plain-text full_text capped by max_chars).

literature_get_fulltext accepts:

Input

Type

Default

Notes

pmcid

string

unset

PubMed Central identifier (e.g. PMC1234567); at least one of pmcid/pmid/doi is required.

pmid

string

unset

PubMed identifier; resolved to a PMCID via Europe PMC search.

doi

string

unset

DOI; resolved to a PMCID via Europe PMC search.

max_chars

integer 1000–1000000

100000

Maximum characters in the joined full_text string; sections and abstract are returned in full.

Papers without open-access full text in Europe PMC return a structured status: "not_found" with empty content; transport or server failures return status: "error" with a sanitized error detail. Full text is never persisted to search history.

Related MCP server: scholar-toolkit-mcp

Requirements and commands

Node.js 22 or newer is required. Dependencies are pinned in package-lock.json.

npm run typecheck
npm test
npm run build
npm start

The build emits dist/server.js and dist/cli.js. npm start runs the stdio server; stdout is reserved for MCP protocol messages and operational logging goes to stderr.

An MCP client can launch the built server with a command equivalent to:

{
  "command": "node",
  "args": ["/absolute/path/to/literature-search-mcp/dist/server.js"]
}

This project does not modify or register MCP client configuration itself.

Optional provider configuration

The server starts and searches without credentials. Optional environment variables improve provider etiquette or rate limits:

OPENALEX_MAILTO
OPENALEX_API_KEY
SEMANTIC_SCHOLAR_API_KEY
CROSSREF_MAILTO
NCBI_TOOL
NCBI_EMAIL
NCBI_API_KEY

No Synthetic Sciences contact address is used as a fallback. PubMed always sends a tool name (literature-search-mcp unless NCBI_TOOL is set); email parameters are sent only when explicitly configured.

See PROVIDERS.md for API-specific behavior and limitations.

Ranking and deduplication

Providers are always processed in this fixed order:

  1. PubMed

  2. Europe PMC

  3. bioRxiv/medRxiv

  4. Crossref

  5. OpenAlex

  6. Semantic Scholar

  7. arXiv

Deduplication checks normalized DOI, PMID, versionless arXiv ID, then normalized title. Records with conflicting values for the same strong identifier type are never merged. Ranking uses reciprocal-rank fusion with a fixed constant (k = 60), followed by stable source/rank/title tie-breakers; provider-native scores do not affect ordering.

HTTP behavior

All provider traffic uses Node's native fetch with:

  • 30-second per-attempt timeout;

  • three retries after the initial attempt for HTTP 408, 429, 5xx, network failures, and internal timeouts;

  • numeric and HTTP-date Retry-After support;

  • exponential backoff;

  • caller cancellation propagation;

  • per-host request pacing and concurrency controls;

  • a maximum five-minute, 256-entry in-memory GET cache;

  • typed, sanitized errors that omit query strings and response bodies.

Search history

Each completed search appends one JSON object to:

${XDG_STATE_HOME:-~/.local/state}/literature-search-mcp/history.jsonl

History records query parameters, source statuses, result identifiers, ranks, evidence, and URLs. It does not store abstracts, authors, provider credentials, or secrets.

Clear history with the compiled CLI:

node dist/cli.js clear-history
# or
npm run history:clear

Tests

npm test is offline and uses node:test, fixtures, fake fetch implementations, and an in-memory MCP transport. It covers HTTP behavior, every provider parser, aggregation/deduplication, history, the search service, and exact MCP tool registration.

The live smoke test is opt-in:

npm run test:live

It performs a small Crossref query and is not part of the offline suite.

License and attribution

Apache License 2.0. See LICENSE and NOTICE. This project adapts concepts from OpenScience literature connectors but does not import the OpenScience runtime.

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