"Managing Files in Nextcloud (Create, Read, Update, Delete Operations)" matching MCP servers:

A Model Context Protocol server that enables AI agents to access, search, and understand structured package documentation and source code from Git repositories. It automatically generates specialized tools to browse module overviews, components, and detailed documentation for technical libraries.

Read-only MCP server for the GitHub REST API that enables agents to query repositories, issues, files, and users without any write access.

A modular monolith MCP server connecting multiple providers (Redash, PostgreSQL, GitHub) with unified permission, security, and auditing, enabling secure data access and tool execution.

Enables LLMs to search and read files in local and GitHub repositories, analyze pull request diffs, and grep code content with built-in security protections.

mcp-agent-ops is a local stdio MCP server for deterministic agent-development operations that otherwise cause repeated shell and generated Python calls.

MCP server for managing GitHub wiki pages programmatically, enabling create, read, update, delete, and list operations via git cloning and pushing.

Enables read-only access to explicitly approved local and remote filesystems, including inspecting Git repositories and querying SQLite and DuckDB databases, with root administration kept separate from MCP.

An MCP server that connects to your GitHub repositories, detects API changes, and provides context for Cursor to automatically generate test cases.

Enables querying GitHub repos and stats, and managing DEV.to articles (list, create, update) through natural language.

Enables agents to search, read, create, edit, move, delete, and undo notes in an Obsidian vault through ten typed MCP tools, over stdio or streamable HTTP with OAuth.

Enables AI agents to manage git-backed website content through natural language, with tools to create, update, delete, and draft pages that are schema-validated and committed to a repository.

MCP server for managing a project backlog as Markdown files in Git, enabling AI agents to read, create, and update tasks programmatically.

Enables a connected Claude account to create, update, and commit files to GitHub repositories directly through MCP tools, removing the need for manual git push operations.

Enables AI assistants to manage Markdown content in GitHub repositories as a headless CMS, with operations to list, read, create, update, and delete files always through a branch and pull request workflow.

Enables MCP-compatible AI assistants to perform structured read/write operations across Perforce P4 files, changelists, shelves, workspaces, jobs, reviews, streams, and server metadata with safety controls. It also integrates with P4 DAM to search assets, retrieve metadata, manage reviews, create bundles, update tags, and browse projects.

Enables asking natural-language questions about any GitHub repository and receiving answers grounded in the actual code, with read-only enforcement and automatic repository fetching.

Enables read-only access to the canonical-vault GitHub repository through MCP, letting clients list files, retrieve file contents and history, inspect commits, and search code.

Provides MCP tools to get a single-call snapshot of git and GitHub Actions CI status across all repositories in a folder, flag missing or stale architecture docs, write doc files, and detect release drift between source and release repositories.

Clones a Git repo into a temp directory so MCP clients can search and read files from another repo for context.

Enables AI assistants to query, create, update, and propose changes to Infrahub infrastructure data through the Model Context Protocol, with branch isolation and human approval for changes.