"Oracle Fusion Cloud API Documentation and Resources" matching MCP servers:

A stateful MCP server that remembers what your AI agent has already seen.

Enables AI clients to securely operate isolated coding workspaces with file, command, Git, and deployment tools via authenticated remote MCP.

Installs an agent on Linux hosts to allow shell commands, file edits, and service management through Claude.ai or ChatGPT via a secure outbound WebSocket connection.

A comprehensive MCP server with RESTful API that enables file operations, command execution, project management, and AI integration for remote development control with security features and real-time communication.

Enables AI agents to operate a persistent Linux sandbox in the cloud, running commands, managing files, using Git, and publishing artifacts through a Streamable HTTP MCP endpoint.

MCP server for the Stashcat messenger API. Enables AI assistants to read and send messages, manage channels, conversations, files, polls, and more.

Enables AI clients to read, write, search, and manage files in an Obsidian vault via MCP over SSE, running standalone without the Obsidian desktop app.

Enables cloud agents to securely operate local machine resources (files, commands, screenshots) via standard MCP protocol.

MCP server that provides file operations and Moonshot API-powered tools (reasoning, code review, testing, research, web search, agent) for Kimi K2.5, requiring only a Moonshot API key.

Enables conversion between PDF/Office documents and structured JSON, supporting extraction and generation of document content.

Enables AI assistants to interact with PDF documentation files stored locally. Provides tools to list, read, search, and extract metadata from CRM API documentation PDFs through natural language queries.

A bridge server that allows LLM tools to interact with an Obsidian vault through a local REST API, enabling file operations, note management, and metadata access through natural language.

Enables AI assistants to inspect Ignition gateway backups, project exports and tag exports locally and turn them into an editable engineering reference and manual pack workspace. Runs over stdio so agents can explain, validate and complete the evidence-traced documents without uploading anything.

Unifies local MCP servers into a single secure Cloudflare Tunnel endpoint, making them accessible to MCP clients like Notion and Claude. Supports HTTP/SSE/stdio servers, built-in file system tools, bearer authentication, and one-click Windows setup.

Enables AI agents to read, create, update and delete any file in a mounted folder of markdown notes, patch individual headings, blocks or frontmatter keys, search by text or JsonLogic queries over frontmatter, tags and links, and stream note changes as events. Runs as a standalone container requiring no Obsidian installation and binds only to private networks such as Tailscale or WireGuard.

Combines KC Chat Panel session interaction with AgentDock computer control tools, enabling Cursor Cloud Agent to chat and operate the local machine via AgentDock.

An MCP server that gives LLM clients access to a SQL Server database and the local filesystem, including file operations and image handling.

MCP server with intelligent memory management and file monitoring that enables context-aware AI assistance across multiple LLM providers (Grok, OpenAI, Claude, Ollama) with persistent memory of interactions and real-time file system changes.

Enables AI agents and users to manage workspace files, monitor system metrics, take persistent notes, and retrieve weather data via MCP tools and resources.

Enables document conversion between PDF, DOCX, and Markdown formats to facilitate reading and editing complex files in AI tools like Claude Desktop or Cursor. It utilizes marker-pdf and pandoc to provide structured text versions of documents, helping to manage context and support unsupported file types.

A Model Context Protocol (MCP) server for ZeroDrive file management. It enables AI assistants like Claude to interact with ZeroDrive cloud storage through a standardized interface.

Enables AI clients to securely execute remote commands and transfer files over SSH through standardized MCP tools, with multi-host management, flexible authentication, and an admin console.

An implementation of the Model Context Protocol that allows AI models to interact with 360 AI Cloud Drive, providing comprehensive file management capabilities including uploading, downloading, searching, and sharing files.

Enables AI assistants to search documentation, read and update configuration files, and discover settings across your development workspace. Supports JSON, YAML, TOML, and Markdown files with seamless integration for GitHub Copilot and other MCP clients.

Secure agent coding runtime for local Git repos with policy enforcement, RBAC, sessions, approval workflow, and sandboxed writes, optionally connectable to ChatGPT via Secure MCP Tunnel.

TheWeave is a markdown-native memory architecture for Claude and any MCP-aware agent. Your agent's memory lives as plain .md files you own: a 5-verb MCP core over the vault, query-driven PageRank retrieval, bi-temporal facts (valid_from / valid_until), and a persona-as-vault model. No database and no embeddings server. The files are the memory, inspectable in your editor and versionable in git.

Lets AI assistants and editors read documents on the local machine, turning PDFs, scans, invoices, receipts and bank statements into structured fields, line items and entities over stdio. Runs fully self-hosted with no cloud calls or API keys, so sensitive files never leave the user's machine.

Enables AI assistants to read, create, edit Word/Excel/PPT files and manage the filesystem on the user's computer via natural language.

Enables reading and searching documents in allowlisted folders via LiteLLM and MCP tools, using COM for Office files to support IRM-protected content.

This server enables multi-agent conversations that interact with the Google Drive API, allowing agents to perform file operations, manage permissions, and handle Google Drive content through a standardized protocol.