A
licenseB
qualityD
maintenanceEnables AI agents to create, update, and manage short links through your Dub.co account, allowing for creation, modification, and deletion of custom shortened URLs.
4
28 npm
MIT
@quikrun/mcp
by exit150
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@@quikrun/mcp list my snippets"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
@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
Related MCP server: n8n MCP Server
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.jsonWindows:
%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 all your snippets with a compact summary. |
| Get one snippet's metadata and full source code. |
| Create a snippet (optional name, language, prompt). |
| Save source code to a snippet's draft. |
| Run a snippet and return output, response, and logs. |
| Publish the current draft as the live version. |
| Update name, visibility, language, or runtime. |
| Duplicate a 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 tsxLicense
MIT
Available Tools
9 toolscreate_snippetA
Create a new snippet. Optionally give it a name, language (defaults to javascript), and a prompt describing what it should do.
Inputs: name, prompt, language.
delete_snippetA
[DESTRUCTIVE] Permanently delete a snippet by slug. This cannot be undone.
Inputs: slug (required).
deploy_snippetA
Publish a snippet's current draft as the live version.
Inputs: slug (required).
duplicate_snippetA
Duplicate a snippet, returning the new snippet's slug and name.
Inputs: slug (required).
get_snippetA
Get one snippet's metadata and full source code by slug.
Inputs: slug (required).
list_snippetsA
List all of the user's QuikRun snippets with a compact summary (name, slug, language, visibility, endpoint, run count, last run).
Inputs: no named parameters.
run_snippetA
Run a snippet and return its output, HTTP response summary, and logs. Optionally override the request method, path, body, and bodyType, or run ad-hoc code.
Inputs: slug (required), body, code, path, +2 more.
update_snippetA
Update a snippet's settings: name, visibility (private|public), language, or runtime.
Inputs: slug (required), name, runtime, language, +1 more.
update_snippet_codeA
Save source code to a snippet's draft. Overwrites the current draft code.
Inputs: code (required), slug (required).
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
A4.1/5.0
Scored across 9 tools
Disambiguation5/5
Each tool targets a distinct action or aspect of snippet management. There is minor potential confusion between update_snippet and update_snippet_code, but descriptions clearly differentiate settings updates from code updates. All other tools are unambiguous.
Naming Consistency5/5
All tools follow a consistent verb_noun pattern (e.g., list_snippets, get_snippet, create_snippet, delete_snippet). The only minor deviation is list_snippets using plural, which is standard for collection operations. Overall, the pattern is highly predictable.
Tool Count5/5
With 9 tools, the server is well-scoped for snippet management. Each tool serves a necessary function in the lifecycle, and there is no redundancy or bloat.
Completeness5/5
The tool set covers the full snippet lifecycle: create, read, update (settings and code), delete, duplicate, run, and deploy. This provides complete coverage without any obvious gaps that would hinder typical workflows.
Maintenance
ActivityInactive
ResponsivenessNo recent community issues
Related MCP Connectors
Create and manage Runbear team AI agents, their apps, triggers, and schedules, and deploy to Slack.
Give Claude, Cursor, or another AI assistant direct access to your QuickSnip library.
Read and write KukGit repositories, files, issues and pull requests from an AI assistant.
Query and update Teable records, manage tables, and access the Teable API with AI agents.
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