"A server for assisting researchers in novel discovery and document analysis" matching MCP servers:

Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.

A novel game server supporting multi-branch visual novel scenarios in English and Japanese, designed to help understand MCP Resources.

A Model Context Protocol server that provides document analysis capabilities to LLM applications, including extraction, chunking, summarization, and semantic search for PDF, DOCX, and plaintext documents.

Enables AI tools to collaboratively write novels by managing chapters, characters, and story state through commands like validate, context, draft, review, and approve.

Provides calculations for novel writing including dates, traditional units, currency, travel time, and growth rates, helping AI avoid arithmetic errors in fiction.

An MCP server for intelligent novel processing that enables precise token-based text segmentation and management of bulk rewriting tasks. It integrates with the Cursor editor to facilitate automated content transformation workflows and prompt management.

A production-grade MCP server that provides tools to fetch historical stock data, company information, and technical indicators (SMA, EMA, RSI, MACD, Bollinger Bands) via yfinance, and includes a Flask web dashboard for visual analysis.

An MCP server that exposes documents.js's document conversion, .odb, metadata, and font tooling as MCP tools, enabling agents to convert, inspect, and edit a wide range of document formats over stdio.

Enables intelligent document processing by extracting text, classifying document types, and generating structured summaries from PDFs and images using vision LLMs.

A secure Model Context Protocol server that enables Claude AI to list, search, and read local documents in formats such as PDF, DOCX, and XLSX. It features read-only access with path traversal protection and supports deployment via Docker with SSE or STDIO transport options.

Persistent memory and pattern learning for AI coding assistants via MCP.

MCP server for automation discovery, enabling users to search Zapier's app directory for integrations and find popular ready-made Zap templates with one-click create links.

Efficiently delivers project documentation to AI agents like Claude on-demand, optimizing token usage by loading context only when needed. Supports document retrieval, listing, and keyword search with security features.

A meta-MCP server that discovers and explores other MCP servers using progressive disclosure patterns to reduce token usage by up to 99%.

MCP server for document conversion and processing, enabling AI assistants to handle various document formats.

An MCP Server that enables interaction with Ticketmaster's Discovery API for accessing event, venue, and artist information through natural language commands.

Enables MCP-compliant agents to perform data discovery, schema matching, and export via HTTP, with a mock mode for demonstration.

Enables users to preprocess, analyze, and visualize CSV data through comprehensive tools for data manipulation, statistical analysis, and graph generation.

Enables local analysis of unstructured documents (PDF, DOCX, PPTX, SVG, PNG) by extracting text and structure with citation anchors, and verifies summaries against source material before a human approves saving a report.

Call OpenAI Codex from Claude Code for independent second opinions, structured code review, and delegated coding tasks through a FastMCP plugin that drives the codex CLI safely.