"DOI" matching MCP servers:

Converts Digital Object Identifiers (DOIs) to BibTeX format using the official DOI content negotiation API, enabling users to quickly generate bibliography entries for academic papers.

Provides a documentation search MCP tool (search_docs) that enables AI agents to retrieve relevant chunks from BDC documentation using semantic embeddings and keyword search, with filtering by document type and date.

Enables progressive exploration of Swagger/OpenAPI API documentation. Supports loading multiple specs, browsing endpoints and schemas, and searching across documentation.

Enables querying and exploring the City of Vancouver Open Data Portal, including dataset search, schema inspection, record filtering, facet discovery, and data export.

Enables read-only querying of LangSmith traces including runs, children, and URLs without extra instrumentation.

An MCP-compliant server that exposes Gmail and Google Docs as tools, enabling AI agents to draft, send, and manage emails, as well as create, read, and append to documents through natural language.

MCP server for DCI API enabling AI models to extract and analyze DCI jobs, components, and topics, with integrations for Google Drive, Jira, GitHub, and Red Hat support cases.

Enables an MCP client to observe and control a text-mode DOS system via a Python bridge, supporting keyboard input and screen capture.

An MCP server for the INSPIRE-HEP API, enabling literature search, author lookups, DOI/arXiv/ORCID resolution, citation export, and bibliography generation with configurable detail levels.

Enables LLMs to dereference and query OpenAPI/Swagger specifications, search endpoints and schemas, validate payloads, extract security schemes, and generate production-ready integration code in multiple languages.

Provides AI assistants with intelligent access to project documentation and API references through smart search, contextual rules, and Docset integration. Enables AI to understand project-specific conventions, patterns, and official framework documentation without token limits.

The CSPR.trade MCP server provides AI Agents with 14 tools for interacting with the CSPR.trade decentralized exchange on the Casper Network.

A universal MCP server for document processing, conversion, and automation. Handle PDF, DOCX, HTML, Markdown, and more through a unified API and toolset.

Enhances large language models with competitive programming knowledge by leveraging OI-Wiki content through vector search, allowing models to retrieve relevant algorithms and techniques.

This MCP server provides critical evidence assessment for organization-design, leadership and transformation claims, enabling users to critique consulting text, check claims against research, and generate safer phrasing.

Enables querying documents through a Langflow backend using natural language questions, providing an interface to interact with Langflow document Q\&A flows.

Word document reading and writing MCP implemented in Node.js

MCP server for hybrid documentation search (keyword + vector) and RAG chat, enabling natural language queries with cited answers from indexed repositories.

Enables agents to search, retrieve, and list open-licensed documents with verifiable provenance, attaching sha256, DOI, and OpenTimestamps proof to every response.

Provides programmatic access to UK legal documents with hybrid semantic search and Model Context Protocol integration for AI assistants.