@snippkit/mcp-server
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., "@@snippkit/mcp-server find a verified Python snippet for reading CSV files"
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.
@snippkit/mcp-server
Official Model Context Protocol (MCP) server for SnippKit.
Connect your AI coding agents (Google Antigravity, Cursor, Claude Desktop, Windsurf, Claude Code) directly to your SnippKit library. Empower your agents with procedural AI Skills, verified Code Snippets, and executable Shell Commands.
β‘ Quick Start
1. Cursor Setup
Add the following to your Cursor MCP settings (.cursor/mcp.json or Settings > Features > MCP):
{
"mcpServers": {
"snippkit": {
"command": "npx",
"args": ["-y", "@snippkit/mcp-server"],
"env": {
"SNIPPKIT_API_KEY": "sk_live_YOUR_API_KEY"
}
}
}
}2. Claude Desktop Setup
Add to claude_desktop_config.json:
{
"mcpServers": {
"snippkit": {
"command": "npx",
"args": ["-y", "@snippkit/mcp-server"],
"env": {
"SNIPPKIT_API_KEY": "sk_live_YOUR_API_KEY"
}
}
}
}3. Antigravity & Windsurf Setup
In your MCP configuration file:
{
"mcpServers": {
"snippkit": {
"command": "npx",
"args": ["-y", "@snippkit/mcp-server"],
"env": {
"SNIPPKIT_API_KEY": "sk_live_YOUR_API_KEY"
}
}
}
}Related MCP server: AAS Core MCP Server
π οΈ Provided Tools
Tool | Description |
| Search public and team AI Skills in the SnippKit registry by keywords or agent compatibility. |
| Fetch complete |
| Search your private and public code snippets by title, tag, or language. |
| Retrieve decrypted code from your SnippKit library. |
| Save newly written or refactored code directly into SnippKit from the agent. |
| Search verified shell scripts and DevOps command runbooks. |
| Retrieve shell command scripts. |
π Resources & Prompts
Resources:
snippkit://skills/{slug}: Read a skill's full instructions as a direct context resource.snippkit://snippets/{id}: Read a snippet as a direct context resource.
Prompts:
use-skill: Injects a named SnippKit skill into the agent's context window.save-solution: Prompts the agent to format and persist code to SnippKit.
π Authentication
Generate your API key from SnippKit Dashboard > Settings > Developer Keys.
The server checks credentials in this order:
SNIPPKIT_API_KEYenvironment variable.Command-line flag
--api-key <key>.Local
snixCLI vault (if you have already logged in viasnix login).
π License
MIT Β© SnippKit
Available Tools
7 toolssnippkit_get_commandA
Retrieve the shell commands/scripts from a runbook in SnippKit by ID or slug.
Inputs: id (required).
snippkit_get_skillB
Fetch the complete SKILL.md instructions and procedural rules for an AI skill from SnippKit. Use this to guide your execution with expert domain knowledge.
Inputs: slug (required), username.
snippkit_get_snippetA
Retrieve the decrypted source code of a specific code snippet from SnippKit by ID or slug.
Inputs: id (required).
snippkit_save_snippetB
Save newly generated or refactored code directly into your SnippKit library. Persists solutions across your projects and environments.
Inputs: code (required), title (required), tags, language, +2 more.
snippkit_search_commandsB
Search verified shell commands, deployment scripts, and terminal runbooks stored in your SnippKit library.
Inputs: query.
snippkit_search_skillsC
Search the SnippKit AI Skills Registry for agent capabilities, procedural rules, and autonomous instructions.
Inputs: agent, limit, query.
snippkit_search_snippetsB
Search your personal and bookmarked code snippets library in SnippKit by title, language, or keyword.
Inputs: query.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelogβ¦
TDQS
Scored across 7 tools
Each tool pairs a clear verb (search/get/save) with a distinct resource (skills, snippets, commands), so overlaps are minimal. The only mild ambiguity is conceptual: skills, snippets, and commands can all contain code-like content, so an agent might briefly hesitate between search_skills and search_snippets, but the descriptions resolve it.
All names follow a uniform `snippkit_<verb>_<resource>` snake_case pattern, which is highly predictable. The only deviation is singular vs. plural resource nouns (search_skills vs get_skill), a minor inconsistency that doesn't impede selection.
Seven tools is well-scoped for a registry/library server, with a symmetric search+get pair per resource and a single write operation. Every tool earns its place and nothing feels redundant or padded.
Search and retrieval are covered symmetrically across skills, snippets, and commands, and snippets support creation. However, snippets lack update/delete operations and the write path is asymmetric (no save for commands, no delete anywhere), leaving notable lifecycle gaps.
Maintenance
Related MCP Connectors
Search your team's shared AI-skill library, get install commands, and save skills from your agent.
Agent skills for Claude, Codex and Cursor: find, install and load skills from one connector.
Git-backed platform for skills, tools, and context for AI agents
One place to build, share, and govern the skills and tools your AI agents use at work.
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- AlicenseNot gradedqualityDmaintenanceEnables coding agents to search, recommend, and validate a stack of reusable skills from a local catalog, producing deterministic plans without modifying the project.6,098 npm1MIT
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- FlicenseNot gradedqualityAmaintenanceEnables AI assistants to save and retrieve code snippets, perform semantic code search, generate language-specific style guides and deep wiki documentation, and orchestrate multi-agent workflows for comprehensive documentation.-