Sathus AI 2.0 is now generally available — evaluation harnesses and guardrails included. Explore
Build enterprise-grade Model Context Protocol (MCP) servers, tools, and prompts. Connect LLMs and agentic swarms securely to internal enterprise APIs with fine-grained access control.
Common obstacles that prevent enterprises from realizing the full value of AI initiatives.
Every AI project builds bespoke API wrappers that break whenever endpoint schemas change.
Agents accessing raw tokens or database handles risk data leaks and unauthorized execution.
Core capabilities that enable production-grade AI systems with enterprise governance.
Build high-performance TypeScript and Go MCP servers implementing resources, prompts, and tool handlers.
Centralized authentication, rate-limiting, and telemetry for agentic tool execution.
Anthropic Model Context Protocol specification, OAuth2 credential vault, tool call rate limiter, and audit logging stream.
The tools and platforms we use to deliver production-grade AI systems.
MCP server lifecycle.
Identify enterprise REST/GraphQL APIs for MCP tool packaging.
Develop typed MCP resources, prompts, and tool endpoints.
Wrap endpoints with OAuth2 token rotation and scope checks.
Measurable results that drive enterprise value from AI initiatives.
Accelerated connectivity between LLM agents and internal APIs.
10x
Real-world examples of how we've delivered AI solutions for enterprise clients.
SaaS Global • Enterprise Software • 4 Months
AI agents required safe tool execution across 20+ microservices.
Unified MCP Gateway with automated scope revocation.
10x faster agent tool onboarding with 100% audit logging.
Common questions about our AI Engineering practice and approach.
MCP is an open standard created by Anthropic that enables secure, standardized bi-directional communication between AI models and external software systems.
Let's discuss how our engineering practices can accelerate your business outcomes.
