@launchlint/mcp
Secure local MCP connector for LaunchLint. It reads only supported files from the explicitly approved workspace, respects .gitignore and .launchlintignore, never executes project code, and sends a controlled snapshot directly to LaunchLint over HTTPS.
README
@launchlint/mcp
Secure local MCP connector for LaunchLint. It reads only supported files from the explicitly approved workspace, respects .gitignore and .launchlintignore, never executes project code, and sends a controlled snapshot directly to LaunchLint over HTTPS.
On Windows, the connector combines Node.js' bundled certificates with the trusted Windows certificate store. TLS verification always remains enabled.
Codex
codex mcp add launchlint -- npx -y @launchlint/mcp@0.1.5
Claude Code
claude mcp add launchlint -- npx -y @launchlint/mcp@0.1.5
Cursor or JSON configuration
{
"mcpServers": {
"launchlint": {
"command": "npx",
"args": ["-y", "@launchlint/mcp@0.1.5"],
"env": {
"LAUNCHLINT_WORKSPACE": "/absolute/path/to/app"
}
}
}
}
LAUNCHLINT_WORKSPACE is optional when the MCP client provides exactly one filesystem root.
The first tool call opens a browser for OAuth sign-in and consent. prepare_workspace_scan only reports the selected file count, size, exclusions, and a one-time confirmation token. A paid app check is consumed only after an explicit start_workspace_scan confirmation.
The connector excludes local credential files, dependencies, caches, build outputs, binary files, and symlinks. It does not install dependencies, invoke a shell, run package scripts, or send source files through the model context. Unsaved editor changes cannot be checked.
Security
The connector is public so its local file handling and network boundary can be audited. LaunchLint's scanner, authorization, billing, database, and infrastructure remain in the private service. Installing this package does not grant a LaunchLint plan or access to another user's projects.
Please report vulnerabilities privately as described in SECURITY.md.
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.
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.
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.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
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.
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.
Neon Database
MCP server for interacting with Neon Management API and databases
E2B
Using MCP to run code via e2b.
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.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.