"Files" matching MCP servers:

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

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

Filesystem MCP server for AI assistants. Search, read, edit, and manage local files in directories you choose.

Enables users to search files and directories through an MCP interface.

Enables listing, reading, and searching local files and directories through MCP tools.

Provides local hybrid search over files by combining semantic vector and full-text BM25 retrieval, with MCP stdio/HTTP support, OAuth 2.1 authentication, and tools for reading and converting documents to Markdown.

Enables AI coding agents to index local codebases and search them by natural-language intent, find related files through imports and semantic similarity, and check indexing status. All processing runs locally via MCP tools.

Enables MCP clients to list, read, search, parse, batch-process, and poll for resume files within a configured root directory over stdio JSON-RPC.

Enables LLM agents and MCP clients to read, list, write, search, watch, and batch-process files within configured allowed directories, while exposing discoverable file resources and structured error codes.

Provides file system tools for resume matching agents, enabling reading, writing, searching, listing, watching, and batch processing of files via the Model Context Protocol.

Enables LLM agents to securely explore, read, search, and analyze text-based files within a sandboxed environment.

Enables users to ask natural-language questions about a local folder's contents, including file names, sizes, and timestamps, with rollups by type and age and cleanup suggestions for stale or large files. It returns metadata only and cannot read, move, or delete files.

Enables AI models to access and search offline Wikipedia and other knowledge bases stored in ZIM format files. Provides intelligent content retrieval, structured browsing, advanced search capabilities, and metadata extraction for comprehensive offline knowledge access.

On-premises knowledge retrieval over the Markdown, text, PDF, Word and Excel files an organization keeps, with the rules you set enforced before anything is retrieved. Agents connect over MCP, get cited passages, and read from it and never write to it.

A local MCP server that enables LLMs to securely search and read files within designated Google Drive folders. Supports Google Docs, Google Sheets, PDFs, and plain text with strict folder-scoping via service account authentication.

Enables Claude to retrieve relevant memories from a folder of markdown files using hybrid search (BM25F, dense embeddings, phrase proximity) and to explicitly report when no strong match exists instead of guessing.

A personal file-indexing MCP server that provides semantic and keyword search over a file index, plus file content lookup and browsing. It enables agents to search and retrieve files from a user's home directory.

A persistent memory MCP server for AI assistants, storing and retrieving notes using local JSONL files with BM25 search.

Enables searching and reading Fold3 military records, including files, index records, memorials, and collection browsing, along with full-resolution page image downloads, using an existing Ancestry session in read-only mode.

An MCP server for indexing and searching local text files using late-interaction retrieval (ColBERT-style MaxSim), enabling token-level relevance matching.