"Files" matching MCP servers:

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。

A read-only MCP server that provides document awareness for agents by parsing local files into structured profiles, blocks, chunks, and search results, enabling agents to understand and cite document content without dealing with raw file formats.

Provides a hierarchical memory management system using Markdown files. Enables creating, reading, linking, splitting, and archiving memory files with bidirectional wikilinks, keyword+graph search, and optimistic concurrency control.

Turns a folder of Markdown files into a searchable work journal that any LLM can read and write.

A self-hosted memory layer for Claude using plain markdown files, enabling persistent context across different Claude accounts.

MCP server for managing swipe files (sample/reference data) with tools to add, search, and update entries via Claude.

A local-first, open-source harness for organizing your files with an AI agent.

An MCP server that allows Claude and other LLMs to manage persistent memories across conversations through text file storage, enabling commands to add, search, delete and list memory entries.

Persistent, searchable memory for AI agents. Enables agents to recover context after compaction by searching indexed conversations, emails, and files via MCP tools.

The personal context layer for AI - one user owned profile plus files, read by any MCP client so you never re-introduce yourself.

Persistent memory MCP server that stores and retrieves memories in Markdown files, enabling shared context across multiple AI agents with hybrid search and deduplication.

Enables creating memos and attaching files to a Memos instance via MCP tools.

Watches local and SMB folders for settled new files and pushes them into the Renfield knowledge base and Paperless over REST; also provides interactive MCP tools for browsing and on-demand file ingestion.

Enables AI agents to read and update a repository's decision ledger, check which files a decision governs, find stale files after a decision reversal, and record or reverse decisions over MCP.

Enables reading and searching ZIM files for offline reference content like Wikipedia.

Create, validate, read, edit, export, and search JSON Canvas files with an interactive inline viewer, stored privately per user.

Persistent shared memory for AI coding agents that turns a folder of markdown files into searchable memory across sessions, repos, and machines.

Enables AI agents and MCP-compatible hosts to search, ask, and retrieve section-level citations from scattered local notes, docs, PDFs, Word files, web pages, org files, and chat logs using hybrid vector and BM25 retrieval.

Persistent memory for AI agents enabling saving, searching, and managing knowledge across sessions with local markdown files.

Enables AI agents and MCP hosts to search and query a local hybrid vector/BM25 index of scattered notes, docs, PDFs, Office files, web pages, org files, and chat exports. It returns section-level citations so agents can ground answers in the user's own files.