# Qiskit Documentation MCP Server

> Use this tool when you need to access Qiskit documentation, guides, and API references in a programmatic way, solving problems related to Quantum Computing development and research by providing a query-based interface for retrieving relevant information, with inputs such as search queries and outputs including relevant documentation and guides. It is ideal for developers and researchers working with Qiskit who require quick access to documentation and API references. This tool streamlines the development process by providing a centralized and easily accessible knowledge base.

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

## Description

MCP server for querying and retrieving Qiskit documentation, guides, and API references

## Trust

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

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.Qiskit%2Fqiskit-docs-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-docs-mcp-server"
    }
  }
}
```

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

---
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