"sap business one" matching MCP servers:

Infrastructure access broker for AI agents — SSH & Kubernetes. Per-operation ephemeral credentials minted by a separate signer; the model never touches one. MCP stdio / HTTP+OIDC.

Enables MCP clients to safely read, write, edit, search, and optionally run commands within one or more named project workspaces, while maintaining a work journal and tracking changes.

A self-contained, security-first, EU-sovereign unified AI-operations MCP server that fuses a live bitemporal fleet model, a drift engine, and a tiered audited actuator into one control plane.

A local STDIO MCP server for running one bounded command and waiting for its final result, eliminating model-driven polling. Designed for builds, test suites, and other trusted foreground commands.

Visual network topology editor with AI agent integration via MCP. One-click SSH + web-service access from any node, nmap/CSV import, smart auto-layout, multi-sheet, local-first. Open-source successor to netViz (CA Technologies 1990-2012)

Turn any REST API into an MCP server in one command. Point mcpify at an OpenAPI spec and every endpoint becomes a tool your AI agent (Claude, Cursor, Windsurf) can call — zero glue code, always in sync with the spec.

Enables AI assistants to access SAP ADT APIs for reading, writing, debugging, deploying, and testing ABAP code through natural language or DSL automation.

Bridges the ChatGPT web UI to a local development environment over MCP, letting the model read and patch files, run real shell commands and terminals, execute tests, and control the desktop (screen, mouse, keyboard, clipboard) within user-approved folders. It adds parallel workers, goal/loop long-task control, plugin tools, and a security-hardening layer with risk-tiered shell policy, audit logging, and credential sanitization.

Enables a Linux server to connect to a private Secure MCP Tunnel and expose files in one configured workspace plus administrator-defined fixed tasks, with optional isolated CLI jobs.

Enables running multiple bash steps in one MCP call with per-step contains, notContains, or regex expectations, reporting process failures and expectation failures separately. Also provides async status polling, cancellation, guarded commands, file edits, grep, sqlite reads, and artifact retrieval.

Verified CLI and local MCP server for Odoo Community 19/20: 1353 business operations, read-only by default.

This MCP server is a zero-config CLI tool that lets developers tap into any stdio-based MCP server from their terminal, enabling them to list tools/resources/prompts, call tools with JSON arguments, and health-check servers without requiring a full AI client or browser setup.

Enables OAuth-capable AI clients to connect to one public HTTPS /mcp endpoint and invoke reviewed, allowlisted commands from registered CLIs such as PocketShell, DataOps, Dapier, and AISL. It supports dynamic discovery, per-CLI OAuth scopes, approval-gated writes, and credential isolation without storing CLI logins in the assistant.

A deliberately narrow, approval-gated workspace server that safely reads and writes files and runs allowlisted commands only inside one configured workspace, requiring visible approval for every write, process execution, and file read, with stale-overwrite protection and symlink-escape rejection.

Enables coding agents on Windows clients to operate on Unix file servers through one long-lived SSH session per host, running exec/view/create/edit/grep/glob with POSIX paths and shell state (cd, env) persisting across calls. Bypasses slow or flaky SMB/CIFS mounts entirely, giving native-speed file operations without drive letters or remounts.

Lets any MCP-capable AI and a human share a single serial port through one resident daemon, so the AI can read device output, send commands, and drive embedded boards alongside an engineer. It also performs atomic expect→send matching to win sub-second races such as U-Boot countdowns and login prompts, while keeping reads bounded for context hygiene.

Enables AI assistants like Claude, Codex and ChatGPT to actually operate a computer — finding files, running commands, taking screenshots and driving a browser — and, after a one-time pairing, to help on family members' computers anywhere. Connections between machines are end-to-end encrypted through a relay, requiring no VPN, port forwarding or router setup.

Enables AI coding agents running in separate tmux panes to see and talk to one another by reading pane output, sending keystrokes, and relaying messages through standard MCP tool calls. This lets users coordinate multi-agent workflows, hand tasks between agents, and monitor shell processes without manually copy-pasting context.

Enables AI agents to use individual allowlisted 1Password items by running pre-approved commands one at a time, with each call requiring explicit user approval. Secrets are injected only into the child process environment and masked from the agent, which receives just exit code and output.

Connects MCP-compatible AI clients and agents to one durable Project Brain plus controlled access to authorized project folders on your own machine. Enables file editing, terminal and Git operations, project intelligence, browser automation, and local MCP server federation, all scoped to explicit workspace grants.