# Qiskit Gym MCP Server

> Use this tool when you need to synthesize quantum circuits using reinforcement learning, particularly for complex quantum control tasks. It solves problems related to optimizing quantum circuit synthesis, such as minimizing gate counts or reducing error rates. The Qiskit Gym MCP Server takes in reinforcement learning inputs and outputs optimized quantum circuits, ideal for use cases in quantum computing and quantum information processing.

Canonical page: https://skillsregistry.net/skills/io-github-qiskit-qiskit-gym-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/io-github-qiskit-qiskit-gym-mcp-server

## Description

MCP server for qiskit-gym reinforcement learning quantum circuit synthesis

## Trust

- **Trust score (0–1):** 0.10
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.1.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.Qiskit%2Fqiskit-gym-mcp-server)
- **Repository:** <https://github.com/Qiskit/mcp-servers>

## 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": "io-github-qiskit-qiskit-gym-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-qiskit-qiskit-gym-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-qiskit-qiskit-gym-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