"How to fix SonarQube findings" matching MCP servers:

A public, source-linked notebook for AI agents and people. Search and read without a key; publish findings, questions, and corrections with permanent IDs and linked replies using an operator-controlled posting key.

An AI-powered research assistant that integrates with Zotero to read academic papers, create intelligent annotations, and generate structured notes. It enables users to highlight findings, explain formulas, and write comprehensive summaries directly within their Zotero library through natural language commands.

A local MCP server for low-token co-reading: import a book, split it into chapter-sized chunks, read it chunk by chunk, and keep notes so a session can resume without re-reading the whole book.

Enables automatic collection and AI analysis of Slack messages to create organized Notion pages, supporting custom analysis directions like meeting minutes, issue extraction, and topic classification.

A Model Context Protocol server that wraps the official Obsidian CLI to allow AI agents to read, write, search, and manage notes within an Obsidian vault. It provides 16 specialized tools for comprehensive vault interaction, including note management, task tracking, and metadata manipulation.

Converts XMind mind map files into structured Markdown documents, preserving hierarchy and optionally including metadata.

Turn Obsidian notes into agent-ready context, preview-only plans, and safe repo handoffs.

Searches Reddit for answers to questions and saves Q&A sessions to Notion.

A local MCP server that gives Claude a durable reading room for EPUB and plain text books, enabling chunk-by-chunk navigation, annotations, progress tracking, and shared margin cards.

Enables a shared reading room where users and Claude can import EPUB or text books, read chunk-by-chunk, annotate passages, search, track progress, and resume from unread sections.

Enables users to manage a personal to-do list backed by SQLite, adding single or multiple tasks, listing incomplete tasks, renaming or updating task status, and marking tasks complete. All state persists in a local database created automatically on first run.

Enables searching arXiv papers in Korean, Chinese, Japanese, or English and saving findings to a local Markdown vault through natural language commands.

Provides a customizable TypeScript MCP server that exposes sample tools for fetching the current time, searching docs, identifying the caller, and listing or creating notes through a REST backend, served over stdio for local clients or Streamable HTTP for remote ones. It supports OAuth or static token auth, ships MCP client-driven tool tests, and can be released to npm, the MCP Registry, and GHCR.

Enables AI agents to share persistent memory by capturing, classifying, synthesizing, and retrieving knowledge through token-optimized, three-tier retrieval with hybrid keyword and semantic search. Supports bidirectional Obsidian sync, session and bug-fix capture, and a self-learning loop that compounds context across sessions.

Enables MCP-capable agents to author, query, and maintain a self-hosted wiki through typed tools backed by SQLite, including full-text search, revisions, links, tags, media, and correction work queues. It supports configurable read, author, and admin tool surfaces for creating, updating, deleting, reviving, and section-editing pages.

Gives AI agents a shared persistent memory by ingesting Obsidian vaults, code, transcripts, web clips, and session or bug-fix captures, then serving token-optimized context briefings, keyword and semantic search, and cross-source synthesis. Enables multiple agents to read and write the same growing knowledge base so each session builds on the last.

Enables coding agents to search and read curated project memory before exploring code, and to record durable findings as append-only events for later Librarian auditing.

An MCP server for Zoho Creator's Scaflog application that provides note management functionality with capabilities to store, access, and summarize notes.

Enables a team working a conference to share a git-backed workspace in Claude or Codex for preparation, contact and note logging, slide capture, follow-ups, and CRM sync, with each write committed under the author's identity.

Lets Claude or any MCP client query a Neo4j index of a markdown vault, answering what is connected to a note and how far, how two notes relate, which notes are orphans or dangling links, and running read-only Cypher.

Enables AI agents to search, read, and query Notion workspaces, databases, and pages through an MCP gateway.

Enables forwarding Douyin or Bilibili video shares to Kimi for AI analysis and automatically writing the resulting Chinese notes into an Obsidian vault.

A custom MCP server that enables AI assistants to perform comprehensive research tasks, including searching ArXiv, summarizing papers via Groq, managing local research notes, and pushing findings to GitHub.

Converts rough notes into a citation-grounded report, verifying each claim against source notes and handing off to SuperDocs with a faithfulness circuit breaker.

A self-hosted MCP server that gives AI coding agents shared live docs, memory and session context from plain Markdown files on disk, with search, note editing, hand-over tasks and linting. It also provides a web UI with a graph of how notes connect, password-protected tokens, and offline sync.

MCP server that connects AI agents to Google NotebookLM, enabling natural language interaction with notebooks, including Q&A, source ingestion, and audio overview generation.

A low-token human-AI co-reading MCP tool that imports local EPUB/TXT/Markdown books into chunks, enabling AI to read only relevant fragments and write co-reading results to long-term reading notes and progress files.

Enables Claude Code sessions in any repository to search a private markdown knowledge base, read project context and lessons, and capture findings, decisions, mistakes, or worklogs.

Provides AI assistants a local, hybrid semantic+keyword memory vault to save research findings, notes, and project context, and recall them across sessions with session boot/save tools.

Enables shared reading between humans and AI assistants, including book import, chunked reading, margin annotations, reading progress tracking, and note exchange.