deploying· AWS · MCP · agents · Stockholm

Your AI stack,
fully assembled.

From MCP servers and Bedrock guardrails to AgentCore runtimes and vector retrieval — we engineer the entire production stack, then hand it back to your team running on AWS.

AGENT · Claude · GPT · Llama MCP · tools · auth · audit AGENTCORE · memory · traces BEDROCK · guardrails · VPC VECTOR · OpenSearch · pgvector // AWS · eu-north-1 · stockholm
// working with AWS Bedrock AgentCore Anthropic MCP OpenSearch pgvector Claude · GPT · Llama LangGraph Terraform
// 06 capabilities

We bring the whole stack, not the slide deck.

M

MCP servers

Production Model Context Protocol servers that let Claude, GPT and local models call your real tools — Postgres, Salesforce, internal APIs — with auth, audit, and rate-limits.

14 servers in productionAnthropic · OpenAI
A

AWS Bedrock AgentCore

Managed runtime for autonomous agents on AWS — memory, identity, tools, traces, evals. We migrate your hand-rolled loops in 2 weeks.

migration · runtime · opslaunch partner
B

Bedrock models

Claude, Llama 3, Mistral and Titan inside your VPC. Guardrails, KMS, CloudWatch — done right.

V

Vector search

OpenSearch Serverless, pgvector, Pinecone. p95 retrieval < 100ms or your money back.

O

Orchestration

Multi-step agents with tool selection, retries, hand-off, human-in-the-loop checkpoints.

E

Skills & evals

Reusable capability packs and the eval harnesses that keep agents from regressing.

// recorded trace · lunchguide.mcp

An MCP we built. Replayed.

Captured trace from our lunchguide MCP server. Same wire protocol Claude uses to talk to your tools — no tokens consumed, just the JSON.

▶ replay running…
POST /lunchguide/mcp · v1
5 events · 312 ms · 1 tool call