MCP Servers

@quikrun/mcp

Enables AI agents to manage QuikRun snippets (list, read, create, edit, run, deploy, duplicate, delete) via the QuikRun API.

README

@quikrun/mcp

A Model Context Protocol server for QuikRun. It lets an AI agent (Claude Desktop, Cursor, and other MCP clients) manage your QuikRun snippets — list, read, create, edit, run, deploy, duplicate, and delete — by wrapping the QuikRun REST API.

Requirements

Node.js 20 or newer
A QuikRun account and API token

Getting a token

Sign in at quik.run.
Go to Dashboard → Tokens.
Mint a new token. It looks like quik_<keyId>_<secret>.
Copy it — you will paste it into your MCP client config as QUIKRUN_TOKEN.

Claude Desktop setup

Add this to your claude_desktop_config.json:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "quikrun": {
      "command": "npx",
      "args": ["-y", "@quikrun/mcp"],
      "env": {
        "QUIKRUN_TOKEN": "quik_yourKeyId_yourSecret"
      }
    }
  }
}

Restart Claude Desktop. The QuikRun tools appear in the tools menu.

Optional: self-hosted API

Point the server at a different QuikRun API host with QUIKRUN_API_URL (defaults to https://api.quik.run):

"env": {
  "QUIKRUN_TOKEN": "quik_yourKeyId_yourSecret",
  "QUIKRUN_API_URL": "https://api.quik.run"
}

Tools

Tool	What it does
`list_snippets`	List all your snippets with a compact summary.
`get_snippet`	Get one snippet's metadata and full source code.
`create_snippet`	Create a snippet (optional name, language, prompt).
`update_snippet_code`	Save source code to a snippet's draft.
`run_snippet`	Run a snippet and return output, response, and logs.
`deploy_snippet`	Publish the current draft as the live version.
`update_snippet`	Update name, visibility, language, or runtime.
`duplicate_snippet`	Duplicate a snippet.
`delete_snippet`	Permanently delete a snippet (destructive).

Development

npm install
npm run typecheck   # type-check without emitting
npm run build       # compile to dist/
npm run dev         # run from source with tsx

License

MIT

Recommended Servers

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official

Featured

TypeScript

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official

Featured

Local

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official

Featured

TypeScript

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official

Featured

Python

E2B

Using MCP to run code via e2b.

Official

Featured

Neon Database

MCP server for interacting with Neon Management API and databases

Official

Featured

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official

Featured

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official

Featured