# LangGraph FastAPI MCP Server

> Use this tool when you need to securely integrate Large Language Models (LLMs) with downstream microservices, enabling agents to orchestrate tasks via exposed FastAPI endpoints. It solves problems of secure communication and microservice orchestration, providing a scalable interface for LLM-powered agents. Ideal for use cases requiring seamless interaction between LLMs and microservices, with inputs including agent requests and outputs comprising orchestrated responses.

Canonical page: https://skillsregistry.net/skills/gilish-tech-ai-shopping-assistant-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/gilish-tech-ai-shopping-assistant-mcp-server

## Description

Enables LLM-powered agents to securely communicate with and orchestrate downstream microservices via FastAPI endpoints exposed as MCP tools.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/um4p8de1ud)
- **Repository:** <https://github.com/gilish-tech/ai-shopping-assistant-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "gilish-tech-ai-shopping-assistant-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gilish-tech-ai-shopping-assistant-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gilish-tech-ai-shopping-assistant-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt