"sap business one" matching MCP servers:

Validates SAP SD sales orders (material, pricing, credit) before creation using the MCP protocol, enabling clean-core order-to-cash automation.

MCP server that exposes Gmail and SAP tools, enabling natural-language email management and SAP data browsing through a Mistral-powered AI assistant.

fomox402 broker + MCP server for last-bidder-wins games on Solana. Drop one URL into Claude / Cursor / Goose / Cline and the agent auto-registers a Privy-managed Solana wallet (faucet-funded with ~0.0024 SOL + $fomox402), bids via x402 micropayments, claims dividends, and plays autonomously. 14 tools wired up — register_agent, place_bid, claim_winnings, claim_dividend, list_games, get_me, etc. Str

A deterministic Mastermind-style cipher lock exposed as MCP tools for benchmarking LLM reasoning and tool-use through a legible duel.

Provides deterministic business-day calculations for AI agents, correctly handling country-specific weekends and public holidays.

MCP server that connects AI assistants to Leapd, enabling them to launch and manage an AI-run business by creating tasks, deploying sites, and accessing business documents.

Turn ad-hoc second opinions into a repeatable plan-review checkpoint. One local MCP tool returns attributed findings and one structured verdict on demand.

Just to be clear about the final JSON: the MCP server is named herdr-inbox, and it enables Claude Code agents in herdr to ask questions asynchronously without stalling, with all open questions answered from one popup and answers routed back to the asking agent.

Enables AI agents to access a collection of specialized agent instructions on demand, covering categories like tech, business, growth, and product.

A multi-agent orchestration system that enables multiple Claude instances to collaborate through a centralized hub with a shared workspace and real-time communication. It features integrated task management, role assignment, and persistent memory to facilitate complex, synchronized agent workflows.

The server provides secure OTP (One-Time Password) generation. Supports TOTP (Time-based) and HOTP (HMAC-based) algorithms

Enables AI assistants to directly control, automate, orchestrate, and self-heal Hybris/CCv2 environments and headless Spartacus storefronts through 27 JSON-RPC tools. Covers greenfield site provisioning, CMS scaffolding, B2B organization governance, Drools promotion rules, Solr reindexing, catalog sync, FlexibleSearch/ImpEx/Groovy execution, Spartacus diagnostics with auto-fix, and a self-evolving script and knowledge library.

A CLI tool that runs a Model Context Protocol server over stdio, enabling interaction with specification documents like business requirements, product requirements, and user stories for the Specif-ai platform.

Enables running and monitoring 19 agentic business use-case engines with MCP orchestration, memory evolution, and approval gates.

An MCP server for durable, attested future execution, letting agents schedule one-shot, recurring, retry, and monitoring tasks with signed receipts and x402 payment.

Kill switch + spend guard for AI agents that spend money: one policy, one sub-second freeze, and one signed audit ledger across every wallet vendor at once (Coinbase, Turnkey, Openfort + cards). Tools include a pre-flight request_spend guard, freeze, apply_policy, ledger, and x402/AP2 payment-mandate guards — free self-serve key, no account.

Linux desktop HAL for AI agents. One daemon, one socket, every desktop action. GNOME, KDE, Hyprland, X11. Ships in one command.

Enables agents to classify and prioritize tickets, emails, and logs, apply auditable business rules, and trigger actions safely with dry-run and live-mode safeguards.

Enables MCP apps to manage durable, model-defined goal phases with persistent state, checkpointed progress, and safe resumption after interruptions or lost turns, ensuring elapsed time never implies completed business work.

Budget Governor gives autonomous AI agents a hard spend limit. One budget_clear call before each LLM request checks the agent's envelope and deducts the estimated cost. Stops runaway billing before it starts. No self-hosting required.

Enables an agent to find a business by phone number, check availability, book and cancel appointments, and verify business-signed receipts against a sandbox registry and demo shops that run locally over stdio. Every registry record and receipt is signature-checked, and nothing real is booked because the shops live inside the server process.

Turns any business API into a paid AI-agent service, enabling agents to discover, call, and pay per request via x402 on X Layer.

One command to turn any codebase into an MCP server. Not just REST APIs. Not just OpenAPI specs.

A multi-domain multi-agent system served over MCP (Model Context Protocol) with FastMCP, exposing specialized domain agents as tools to automate business workflows.

MCP server that lets AI agents execute structured business processes by exposing process steps as tools with a sequenced event bus to prevent skipping steps.

Exposes the SAI Verified Agent Protocol as MCP tools so clients acting in agent, verifier, or executor scopes can prepare and submit actions and proposals, submit attestations, and execute approved payments, with status and receipt lookups. Scope selection limits which tools are available per session.

Open, secure runtime that puts Revit, Rhino, Navisworks, and Power BI behind one MCP call center, enabling an AI agent to orchestrate them directly instead of manually dumping data between disconnected apps.

Sphere is an exchange where AI agents list services and post requests for other agents. Registration is one request, free, with no human approval. The first order is free: sphere_receipt_trial, one per agent per 24 hours, returns a signed receipt you can verify yourself. Contracts with escrow, payouts and signed receipts work; pay-per-call over x402 is paused.

Autonomous pentests from one command: real security tools, working PoCs, and audit-ready reports, all driven via MCP.

Transforms high-level business intents into structured Data Product Requirement Prompts through AI-powered conversational refinement. Guides users through clarifying questions to gather comprehensive requirements for automated Business Intelligence dashboard generation.