"Sublime Text" matching MCP servers:

An MCP server for retrieving hadith text and metadata from auditable sources, providing exact references, Arabic text, English translations, and source-attributed grading.

Enables MCP clients to read and search Brazilian municipal official gazettes from the Querido Diário public API, including resolving cities by name or IBGE ID and full-text gazette searches with filters.

An MCP server for the Internet Archive that enables searching the full text of digitized books, browsing the catalogue, and reading Wayback Machine captures. No API key or configuration required.

Provides SQL access to the ANSES Ciqual French food composition database, enabling query of nutritional data for over 3,000 foods with full-text search support.

MCP server and CLI for full-text search of the Deutsches Zeitungsportal (German newspaper collection), enabling querying ~33.8 million digitized pages with Solr syntax, date/title/place filters, and snippet highlights.

Enables searching and retrieving Korean Supreme Court precedents from the law.go.kr Open API, with support for keyword search and detailed judgment text.

MCP server for searching and retrieving full-text pages from the Library of Congress, including newspapers, books, and manuscripts, via the loc.gov API.

Enables searching and retrieving Dutch case law (uitspraken) via the Rechtspraak Open Data API, including full text and citation graph exploration.

Searches and fetches research datasets across Zenodo, DataCite (Dryad/Figshare/Dataverse/OSF), NCBI omics archives (GEO/SRA/BioProject), and the literature (PubMed/OpenAIRE) through one normalized model — deduplicating by DOI, expanding organism queries with NCBI Taxonomy synonyms, and bridging papers to the datasets they produced. Resolves citations and open-access full text, and downloads files.

MCP server for Switzerland's national metadata catalogue, enabling AI agents to discover datasets, APIs, public services, and publishers through free-text search and structured queries.

Searches and retrieves academic papers from open access sources like arXiv, Semantic Scholar, and PubMed, with full text access via arXiv PDFs, PubMed Central, and Unpaywall.

Provides a clean interface for AI agents to search arXiv papers, fetch metadata, read full text, and download PDFs/source, with rate-limiting, on-disk caching, and session pinning to avoid duplicate fetches.

Enables to search academic papers in Japanese and English, inspect availability of full text, and download public PDFs locally.

Enables agents to search and analyze US federal procurement data across SAM.gov opportunities, FPDS awards, SAM entities, FFATA subawards, exclusions, and full-text solicitation attachments, with 53 tools for market research, opportunity discovery, teaming, pricing, and compliance.

A standalone MCP server that searches multiple scholarly metadata providers (PubMed, Europe PMC, bioRxiv, Crossref, OpenAlex, Semantic Scholar, arXiv), deduplicates results, and returns ranked literature with optional open-access full-text retrieval from Europe PMC.

Fetches Croatian legislation from the Narodne novine official gazette with European ELI identifiers and verifiable citations. Provides tools to list issues, get act metadata, and fetch full text.

Enables searching SEC EDGAR filings by full-text search and listing company filings, with accurate company name resolution to CIKs in code, avoiding hallucinated identifiers.

Enables searching and retrieving Czech legal acts from the e-Sbirka database via SPARQL, including metadata and full consolidated text with verifiable citations.

An MCP server for the Revised Code of Washington (RCW) that enables retrieving full statutory text by citation, searching for citations by partial reference, and finding bills that affect a given citation.

Enables AI clients to search for academic papers, fetch metadata by DOI, retrieve open access PDF links, and extract full text from research papers using the Unpaywall API. Provides seamless access to scholarly literature for research and analysis tasks.