"Information on RAG Documents or Processing" matching MCP servers:

AI modifies a function but misses 5 callers that also need updating. crag fixes this — it builds precise call graphs via static analysis, so AI knows exactly what's affected before making changes.

Provides persistent, searchable memory across AI coding agent and chat history (Claude Code, Codex, Gemini CLI, ChatGPT, and more) via retrieval-augmented generation, enabling semantic and hybrid search to retain context across sessions.

Fetches documents by URL, DOI, ISBN, PMID or PMCID, and reports a block as a block, never as an empty success.

A Linux system monitoring MCP server that provides real-time information on CPU, memory, disk, network, processes, Docker, security, and more via MCP tools.

A Model Context Protocol server implementation for Axiom that enables AI agents to query your data using Axiom Processing Language (APL).

Serves a folder as an MCP knowledge server: it indexes text, code, PDFs, office documents and audio or video, then answers search and ask calls with citations that name the file, the line range, the page or the time range. Runs fully local with Ollama by default; Mistral, OpenAI, Gemini and Anthropic are optional providers.

An unofficial MCP server that brings your Fileee documents to AI clients, with secure authentication via OAuth or static tokens and capabilities for reading, writing, sharing, and more.

Enables LLMs to read, write, browse, search, and subscribe to live data on OPC-UA industrial automation servers, with caching, discovery index, and support for stdio or HTTP transports.

Enables AI agents to work a Noeto kanban board: browse boards and cards, search across them, create and update cards, move and reorder them between columns, comment, and read or write documents and attachments on cards. It runs as a local process for Claude Code and Claude Desktop and deliberately avoids destructive actions such as deleting human-created content.

Search, read, (bulk) edit the documents and metadata in your Paperless NGX instance.

A lightweight RAG (Retrieval-Augmented Generation) system for Claude Code that enables semantic search over local markdown documents via MCP tools, saving tokens and time.

An MCP server for prompt and RAG evaluation workflows, enabling users to register, create API keys, and run evaluations via Claude Desktop, Cursor, or other MCP clients, with a hosted backend for heavy evaluation work.

Enables LLM agents to play six-on-six Pokémon battles with hidden information, a full move set, and a deterministic battle engine, including local play, reproducible matches, and benchmarking against AI opponents.

Votars is the world's smartest multilingual meeting assistant, designed for voice recording, transcription, and advanced AI processing. It features real-time translation, intelligent error correction, AI summarization, smart content generation, and AI discussions. The Votars app is available on Web,

A secure and pluggable MCP server to run terminal commands on your local machine or cloud server — remotely, safely, and with LLMs or agentic clients.

MCP server for a self-hostable personal planner — exposes memo, todo, calendar event, and cross-resource full-text search tools so Claude, Cursor, or any MCP client can manage your schedule and notes in natural language.

Minimal Go library for building stdio MCP servers on the official go-sdk — struct-derived JSON Schema, tiny static binaries.

Hybrid search over your local documents, with file and page citations. One binary, fully local.

Baryon connects MCP-compatible AI assistants to Proton Mail through a local bridge, enabling email search, reading, attachment handling, and draft creation while enforcing deliberate permission limits. It runs locally and cannot send, delete, or modify mail.

Scans source code for possible Korean compliance risks (PIPA, Network Act, Credit Information Act, E-Commerce Act) and maps findings to specific legal provisions. Runs locally, exposes MCP tools for scanning and law lookup, and does not constitute legal advice. That's hedged (matches the project's "possible risk / not legal advice" rule), keyword-rich for search, and names all four laws.