"Retrieving Markdown Files from a Database" matching MCP servers:

Syncs Jira Cloud issues into local Markdown files with source metadata, kept current including deletions. Includes a local read-only MCP server so Claude Code or Codex can search, read and list recent changes. Linux.

Enables Claude Cowork on Windows to read, write, edit, list, find, and regex-search files inside a WSL distribution over stdio, accepting Windows and Linux path spellings. Access is confined to server-fixed roots, with secrets files refused, key-shaped strings redacted, and no delete or move operations.

An MCP server that enables users to download webpages as markdown files using r.jina.ai service, with features for configurable download directories and automatic date-stamped filenames.

Enables reading and optionally editing existing Markdown files under a configured root folder, including section-level queries, overwrites, appends, deletions, and front matter management, over stdio with no network dependencies.

Enables ChatGPT/Codex to read, search, and edit files in a single allowed folder on Windows through OpenAI Secure MCP Tunnel.

Enables AI assistants to read local documents by converting PDFs, Office files, images, and audio to Markdown on-device, without uploading them.

MCP server for markdown files — search, extract sections, list headings, find code blocks across docs.

A lightweight MCP server for basic file operations, enabling reading, writing, and listing files securely via the Model Context Protocol.

Stdio MCP server for sandboxed file access — read files, search content, safely edit with checksums, and manage file structure.

Agent-controlled markdown files with frontmatter-based permissions, enabling read, append, or edit access for AI agents.

Enables LibreChat agents to manage per-user private files, persistent documentation, RAG indexing and semantic search, and publish files via secure opaque public links.

A very simple vector store that provides capability to watch a list of directories, and automatically index all the markdown, html and text files in the directory to a vector store to enhance context.

An MCP server for local testing that enables file management operations, requiring authentication via Microsoft identity platform credentials.

Provides structured, addressable access to a local markdown vault with heading-anchored fragments, BM25 search, and stable IDs for verifiable retrieval.

Enables AI agents to safely explore directories, read files, search content by pattern or filename, and edit files with checksum verification and dry-run preview within sandboxed filesystem access.

Enables AI assistants to access and inspect local files within a specified sandbox root.

Convert PDF, DOCX, XLSX, images, and 20+ formats to Markdown using markdown.new API.

A generic Markdown vault MCP server with FTS5 full-text search, semantic vector search, frontmatter-aware indexing, incremental reindexing, and non-markdown attachment support that exposes search, read, write, and edit tools.

Provides semantic editing tools for Markdown files, allowing structured manipulation of document elements through hierarchical paths rather than raw text operations. Supports navigation, search, content replacement, element insertion/deletion, undo functionality, and YAML frontmatter management.

Enables secure, read-only access to local project files (including text, DOCX, PDF, and XLSX) through MCP, with strict directory whitelisting and no write, edit, or command-execution tools.

Enables AI agents to convert GitHub Flavored Markdown into formatted Word (.docx) files, including headings, lists, tables, links, code and images, with an optional Chinese official document (公文) font preset. Conversion runs locally, so no content is uploaded.

一个基于FastMCP协议的文件向量化服务，支持自动目录监控、多格式文件处理和高效向量搜索，帮助构建个人或团队知识库。

Enables an AI host to list, read, and move files within a single designated folder, where each action is held until a human approves it through a consent card and the decision is recorded on a tamper-evident chain. Actions proceed only with a written receipt, and any missing answer or error counts as a refusal.

Enables interactive review of rendered Markdown documents by selecting passages, queueing line-anchored feedback, and submitting it in one batch to a coding agent that edits the original source file.

Enables AI agents to persist all generated deliverables as structured Markdown in a project's /.aiartefact directory, with automatic frontmatter, metadata indexing, and full-text search.

Enables AI models to securely analyze SQLite datasets and read local text documents through a local stdio interface. It provides read-only querying, schema discovery, pagination, and timeout protections to prevent data leaks or destructive changes.

Provides a secure, constrained filesystem workspace for LLM agents to manage files, notes, and code artifacts via stdio or remote HTTP. It features granular access controls, including extension whitelisting, storage quotas, and immutable paths for safe automated file operations.

Read selected local folders from ChatGPT on macOS, with per-folder read-only or read-write access and hash-checked, recoverable edits. Requires local installation and a private ChatGPT app. The Glama container is a synthetic evaluation demo; it does not connect to files on your Mac.

Provides safe local file operations through MCP, including reading, writing, searching, organizing, and protected deletion with configurable path restrictions.

Local-first memory server for AI coding agents that stores work sessions, tasks, and durable memories in Markdown files, exposed through MCP tools for session management and memory retrieval.