Restflow.io

RestFlow · MCP Servers

MCP Servers for AI-Native Companies

We design, deploy and audit MCP servers so your AI agents can safely access the tools, data and workflows that actually run your business — with observability, governance and performance built-in.

Why MCP matters for AI

Modern AI agents are only as powerful as the tools they can reach. The Model Context Protocol (MCP) is the backbone that connects LLMs to your apps, APIs, databases and internal services in a structured, secure way.

At RestFlow, we build MCP servers that turn your product into an AI-native platform: consistent tools, predictable responses, clear boundaries and full observability across every agent call.

  • ✅ Safer access to critical systems (auth, scopes, rate limits).
  • ✅ Agent-friendly tools and schemas that LLMs can reliably use.
  • ✅ Central governance and auditing of every tool invocation.
MCP in your stack High-level architecture
AI Agents / LLMs
ChatGPT Claude Internal agents
⇄
RestFlow MCP Servers
Tool definitions · Resources · Prompts · Policies
Your Systems
SaaS & APIs Databases Internal tools
⇄
Governance Layer
Auth · Scopes · Rate limits · Audit logs

MCP Server Development

Design & build

We architect custom MCP servers around your stack, using official SDKs and best practices so tools are easy for LLMs to understand, test and reuse.

  • •Tool & resource design aligned with your business workflows.
  • •Schema design for predictable tool calls and fewer hallucinations.
  • •Test harnesses to validate agent behaviour before going live.

Implementation & Integration

From dev to prod

We plug MCP into your AI stack and infrastructure so agents can safely reach production systems without breaking your existing security model.

  • •Connection to SaaS, internal APIs, data warehouses and n8n workflows.
  • •CI/CD pipelines, environments and roll-back strategies for MCP changes.
  • •Performance tuning and latency budgets per tool / agent.

MCP Security & Audit

Risk & compliance

We review your existing MCP servers and agent workflows to ensure they are safe, compliant and aligned with your governance requirements.

  • •MCP spec compliance & best-practice review.
  • •Audit logs, policy checks and least-privilege tool design.
  • •Red-team scenarios for data exfiltration and abuse of tools.

RestFlow MCP Server Manager

Open-source

An open-source control panel for your MCP ecosystem: one place to discover, configure and observe all your MCP servers across teams and environments.

  • •Registry of MCP servers with health, versions and owners.
  • •Central policies for auth, scopes and rate limits.
  • •Usage analytics: tools called, tokens spent, agents involved.
Git-friendly configuration Pluggable metrics & logging

Ready to make your product truly AI-native? Let RestFlow design and run your MCP layer.

Book a MCP intro call ↗