"author:6" matching MCP servers:

MCP server for see-u-ui component library, allowing AI assistants to query component props/events/slots/examples on demand.

Enables searching the YÖK National Thesis Center and retrieving thesis contents in Markdown format for LLM applications. It allows users to perform detailed searches based on criteria like author, university, and subject while providing programmatic access to thesis metadata and PDF content.

MCP server that exposes tools to route natural language queries to typed IDs, describe catalog entries, and list repository verification commands for the m-dev-tools organization.

Enables searching J-Quants API endpoints, retrieving detailed documentation, generating executable sample code, and answering FAQs via MCP clients like Claude Desktop.

This MCP server enables natural-language questions, keyword search, and topic lookups about vibecamp 6 using bundled public vibe.camp pages, returning sourced answers and pointing to official channels when information is unknown.

Provides direct access to 200M+ academic papers from Semantic Scholar, enabling paper search with advanced filters, author discovery, citation analysis, and AI-powered paper recommendations through natural language.

MCP server that recommends which npm/PyPI libraries to use or avoid, with concise verdicts, alternatives, and code snippets, keeping responses under 500 tokens.

Provides LLMs with real-time access to up-to-date documentation from PyPI, npm, crates.io, GoDocs, DockerHub, GitHub, and GCP, preventing outdated code generation and API hallucinations.

Enables AI clients like Claude Desktop to search J-Quants API endpoints, get detailed information, reference implementation patterns, and access FAQ answers using MCP.

MCP server for document intelligence via x402 micropayments. 6 tools: document analysis, invoice extraction, screenshot data, alt text, PII detection, sentiment analysis. Pay-per-use with USDC on Base — no API keys needed.

Allows users to search and retrieve academic papers, metadata, and citation counts from the IEEE Xplore digital library. It supports full-text search, author-specific queries, and publication tracking through the IEEE Xplore API.

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 searching and reading books from your Calibre ebook library through MCP. Supports title, author, and full-text search across multiple formats with lightweight Windows-optimized implementation.

An MCP server for creating, loading, and editing RFC TXT documents using the rfc-editor Python library. It provides a suite of tools to manage document components including sections, abstracts, titles, and author metadata.

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

Helps migrate projects from AI SDK 4.x to 5.0 by generating a migration checklist and searching the official migration guide for code and data changes.

Enables programming agents to retrieve internal R&D documentation with traceable, reproducible evidence through the MCP protocol, supporting multi-corpus routing and access control.

Zero-config knowledge base for AI coding agents. Loads your markdown docs into a searchable database and exposes them as MCP tools — search, read, and manage documentation without leaving your editor. Works instantly with SQLite (no setup), upgrades to PostgreSQL + pgvector for hybrid semantic search. 6 MCP tools, 3 resources, FTS5 keyword search, 176 tests.

A Python-based MCP server that enables document-based question answering by processing PDF, TXT, and Markdown files through OpenAI's API. It provides hallucination-free responses based strictly on document content using semantic search and includes a web interface for management.

Enables document-based question answering using OpenAI's GPT-4 with semantic search and embeddings. Upload PDF, TXT, or Markdown files and get answers strictly based on document content with source attribution and confidence scores.