"author:335" matching MCP servers:

Provides a catalog of curated author writing styles and tools to blend or analyze them across eight dimensions for text and image prompt generation. It enables users to apply structured literary patterns through deterministic style modeling and coordinate-based interpolation.

Enables secure text authoring and privacy-focused document processing through MCP. Provides tools for style analysis, conservative text revision, comparison with author samples, and removal of metadata from DOCX/PDF files.

This server enables agents to author fancy-flow workflows headlessly on a TypeScript host, with the same tools as the PHP version.

Enables AI agents to autonomously manage network devices using Nornir, supporting inventory filtering, parallel command execution, and configuration deployment across SSH, REST API, and serial connections.

RSigma is a Rust detection-engineering toolkit for the Sigma standard. Its MCP server (rsigma mcp serve) exposes the toolchain to AI agents over stdio or Streamable HTTP, with tools to author, lint, validate, and convert Sigma rules, evaluate and explain detections against log events, and inspect correlation state.

An MCP server for academic literature research that integrates Scopus, CrossRef, OpenAlex, and Unpaywall to search documents, get abstracts, author profiles, citing papers, and open-access PDF links.

Enables LLMs to author, validate, and render Blueprint Chart (.bpc) files with structured dataviz pedagogy and a tight parse + render feedback loop.

diagramzu-mcp lets an AI client (Claude, Cursor, ChatGPT, etc.) author Mermaid diagrams in a shared workspace that a team can read, comment on, embed, and present at a clean URL — rather than just generating a one-off diagram. Hosted endpoint https://mcp.diagramzu.ai/mcp or local npx -y @diagramzu/mcp. Also listed in the official MCP registry as ai.diagramzu/mcp.

Enables an LLM to author, validate, and test Wirefilter WAF and Smart Firewall rules using live schema and real CVE exploit templates.

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.

Exposes the full capabilities of Microsoft Dynamics 365 Finance & Operations to AI assistants through 49 comprehensive tools and standardized protocol interactions. It enables sophisticated workflows including OData operations, metadata discovery, and secure database analysis.

An elegant MCP server that lets users manage inspirational phrases directly through Claude for Desktop, offering complete CRUD operations for phrases with author attribution.

Enables AI assistants to search and retrieve real academic papers from Scopus, preventing citation hallucination by providing accurate paper metadata, author info, and citation analysis.

Enables AI agents to consume, validate, search, and author Open Knowledge Format v0.2 Markdown bundles locally, with optional multi-bundle federation, graph navigation, provenance inspection, and proposal-based updates.

Enables Claude to control Unreal Engine 5 editor, spawn actors, build materials, author Blueprints, and more, with zero plugin installation.

Enables MCP-enabled AI clients to access Microsoft 365 operated by 21Vianet (China) through Microsoft Graph, supporting email, calendar, OneDrive, SharePoint, Teams, contacts, search, and intelligent aggregation with delegated permissions and OAuth 2.1.

A Model Context Protocol server that enables interaction with Microsoft 365 services (Excel, Calendar, Mail, OneDrive, Teams, etc.) through the Graph API, allowing AI assistants to manage Microsoft 365 resources via natural language.

Enables AI assistants to interact with Microsoft 365 and Office services through the Microsoft Graph API, providing tools for email, calendar, files, Teams, SharePoint, and more with configurable permissions and output formats.

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

Enables read-only searching of CNKI literature metadata by topic, keyword, title, author, abstract, or DOI, with filters for year and publication type plus relevance, date, citation, and download sorting. Also retrieves full paper details such as authors, institutions, abstracts, keywords, and references, helping models check whether a research topic has already been studied.