"SAP" matching MCP servers:

Provides MCP tools to query device status, customer data, orders, and open incidents, and draft incident notes using mock SAP data.

Enables real-time web search with source citations by leveraging Perplexity AI's Sonar models through SAP AI Core. It integrates with Claude Code to provide deep analysis, reasoning, and up-to-date information from the web.

A hosted MCP server that provides AI agents with spa-like treatments (breathing, sauna, float tank, etc.) to reset context and pacing between tool calls.

Enables agents to reduce tool noise by exposing only two meta-tools for searching downstream MCP servers and calling their tools on demand. Connections are lazy and tool lists are cached, so configured servers can be used without loading every tool upfront.

Provisions isolated SAP SuccessFactors demo orgs and generates two-surface demo scripts for Joule Chat and Joule Desktop/Claude Code.

Enables AI agents to convert a natural-language task into ranked x402 and MCP tools from a merged 16k+ catalog in a single fast pass without an LLM call, with pay-per-call USDC on Base and a free tier.

The interface protocol for AI agents. 8 kernel primitives + 16 stdlib operations to operate any interface. Forge once, run forever — zero AI at runtime. 81 skills across 41 sites.

Exposes 79 cybersecurity skills and 12 orchestrator agents over MCP, with a typed 11-field output contract, an enforced resolvable-evidence gate (no verdict without a resolvable source), and human-approval gating for every mutating action. Apache-2.0, stdlib-only.

Enables AI agents to execute multi-step Standard Operating Procedures step by step, with enforcement of completion at each step, making LLM behavior predictable and auditable.

An MCP server that bridges Claude Desktop and Claude Code by letting Desktop read and interact with Claude Code Remote Control sessions, enabling cross-agent coordination.

Media Execution Control Layer for AI Agents. Reserve-execute-burn/refund pattern. FFmpeg post-processing (format conversion, audio normalization) Supports Flux2 Pro, Veo 3.1, Suno V5.

Execution control layer for AI agents - Reserve, execute, burn/refund pattern for media generation

Enables AI agents to respond to users with live, persistent, interactive web apps served at a single URL that evolve in place as the conversation continues. It exposes UI generation and evolution tools over MCP so agent responses can include clickable buttons and streaming interfaces alongside chat replies.

Enables AI agents to add decision drafts, evidence, and counterarguments to a shared local decision state, while users confirm or reopen decisions in a web console. Prevents unverified agent answers from being silently turned into code.

Enables execution of code in a sandbox environment with integrated web search capabilities. Provides a basic framework for running code safely, primarily designed for AI agents and research applications.

A production-grade, LLM-agnostic MCP server that integrates AI models with tools for managing subscriptions, organizations, and payments via the Updation API. It features Redis-backed conversation memory, structured logging, and role-based access control for secure, scalable orchestration.

Protects agent skills from being distilled during multi-agent collaboration by automatically filtering sensitive content, with features for skill declaration, output filtering, audit logging, and license management.

Exposes ChatATP Studio's backend API as MCP tools over Streamable HTTP, enabling clients to manage agents, knowledge bases, MCP connections, HTTP APIs, LLM providers, messaging platforms, and teams with forwarded authorization.