Integrations

Connect SmartGate with the tools you already use — browse integrations for observability, authentication, and AI infrastructure.

Guides for attaching SmartGate—the MCP-native intelligence layer—to hosts, observability, auth, and AI infrastructure you already use. Not a model router and not a chatbot replacement.

Verified Connectors & Tools

Role guides

Connect OpenClaw to SmartGate over MCP: Config and Guardrails

OpenClaw MCP setup in four steps: point OpenClaw at a Streamable HTTP MCP endpoint, send the Bearer plus platform headers, then cap tool traffic with per-plan rate limits, a hard budget guard.

AI Agent Architecture: LangGraph vs CrewAI vs a Gateway

An AI agent architecture is drawn as four layers and decided as a framework choice. The twelve shipped symbols here cover what neither LangGraph nor CrewAI decides: registration.

Optimize AI Agent Execution Cost: Meter, Attribute, Prove

Optimising AI agent execution cost starts with attribution, not model choice: record usage at the gateway, infer tokens when a tool omits them, count with the right tokeniser.

Build a Low-Cost AI Backend Architecture: Count, Cache, Meter

A low-cost AI backend is four cost decisions, not a cheaper model: price each call, cache and batch what repeats, route on cost per resolved task, and self-host only past a computed break-even.

AI Financial Analysis for Agents: From Audit Log to Report

AI financial analysis with agents is an accounting problem before it is a model problem. Seven shipped functions price a call against a team, a window and a budget.

AI Automation for SaaS Operations: Queues, Webhooks, Billing

AI workflow automation in a SaaS product is three primitives, not a canvas: a durable email queue, a webhook intake that verifies before it deduplicates.

Concurrency Control in AI Backend Systems: Limits, Queues, Pools

Concurrency control in an AI backend has five layers: a plan catalog that decides the numbers, a two-level MCP limiter per key and per team, an edge sliding window for bursts.

API Documentation Best Practices for AI Tools: Generators, Specs

Twelve API documentation best practices for AI tools, each with code: publish a machine-readable spec, give agents annotations, test the docs against the code, enforce a frontmatter contract.

Prompt Security for AI Applications: Policy, Keys, Audit

Prompt security is five layers, not one filter: a schema-validated policy per team, a clamp that only tightens, a key check on every request, masking before the log is written.

Token Optimization Techniques for AI Apps: Caps and Cost Control

Token optimization for AI apps: measure usage, shape prompts, cache repeats, route by price, cap output. Eight techniques with the gateway code behind them.

AI Gateway vs API Gateway: Where Each Responsibility Sits

An AI gateway and an API gateway share routing, auth and request rate limits; they part at per-key token quota, cost accounting, the audit row per task and tool proxying.

Integrations as attachment points, not a second product

SmartGate stays an MCP-native intelligence layer. Integration guides explain how that layer attaches to observability, authentication, and AI infrastructure you already run—not how to replace your host model with SmartGate. You keep Cursor, Claude, OpenClaw, or your runtime for reasoning; SmartGate shapes tool traffic before it becomes billable model input.

Typical attachment themes include connecting MCP hosts, aligning audit export with compliance workflows, and placing gateway counters next to FinOps reviews. Comparison and architecture notes in the index clarify where an AI gateway differs from an API gateway or a model router: SmartGate governs information intelligence—search, fetch, dedup, compress, budget, memory, pipe—not chat completions.

Browse published integration articles for concrete setup language. For the live wire, Dashboard Connect remains the source of truth for Streamable HTTP URL and Bearer headers. Docs cover endpoint contract, tools, logs, security, and billing. Pricing documents fair-use limits and Gainshare without inventing ROI case studies.

If an article mentions a third-party brand, treat it as an attachment context, not an endorsement or partnership claim beyond what the article states. We do not recreate deleted industry KV pages here; this hub lists what the content index currently publishes.