S2T Accelerators

S2T Accelerators

36 enterprise MCP tools for AWS security, infrastructure generation, AI workflows, and agent governance. IAM validation, MFA compliance, CloudFormation/SAM generation, DynamoDB design, OAuth validation, vector embeddings, error analysis, data lake readiness, 12 ACI governance tools for AI agent safety, and 4 local interview tools.

Category
Visit Server

README

S2T Accelerators MCP Server

npm version License: MIT MCP Compatible

MCP server providing Claude with access to S2T's battle-tested enterprise accelerators:

  • Vector Embeddings (ACC-AI-001) - Generate embeddings for RAG, semantic search
  • CloudFormation Generator (ACC-AWS-001) - Generate production-ready SAM/CFN templates
  • OAuth Validator (ACC-INT-001) - Validate OAuth configurations before deployment

Quick Start

1. Install

npm install -g s2t-mcp-accelerators

2. Get an API Key

Visit https://dev.s2tconsulting.com/ai-sales/purchase.html to create an account and get your API key.

3. Configure Claude Desktop

Add to your Claude Desktop config file:

macOS/Linux: ~/.config/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "s2t-accelerators": {
      "command": "npx",
      "args": ["s2t-mcp-accelerators"],
      "env": {
        "S2T_API_KEY": "sk_live_your_api_key_here"
      }
    }
  }
}

Restart Claude Desktop to activate the tools.

Available Tools

s2t_embed

Generate vector embeddings for text. Supports automatic chunking for long documents.

Input:
- text: string (required) - Text to embed (max 100,000 characters)
- model: "amazon.titan-embed-text-v2:0" | "amazon.titan-embed-text-v1"
- chunk_size: number (100-2000, default: 512)
- chunk_overlap: number (0-500, default: 50)

Output: Embedding vectors with metadata

Use cases: RAG systems, semantic search, document similarity, knowledge base indexing

s2t_generate_cloudformation

Generate CloudFormation/SAM templates from natural language descriptions.

Input:
- description: string (required) - What infrastructure you need (max 5000 chars)
- format: "sam" | "cloudformation" (default: sam)
- include_parameters: boolean (default: true)
- include_outputs: boolean (default: true)

Output: Complete YAML template with best practices

Supported resources: Lambda, API Gateway, DynamoDB, S3, SQS, SNS, EventBridge, IAM

s2t_validate_oauth

Validate OAuth 2.0 configuration and detect common misconfigurations.

Input:
- provider: "google" | "microsoft" | "github" | "quickbooks" | "generic"
- client_id: string (required)
- redirect_uris: string[] (required)
- scopes: string[] (required)
- token_endpoint: string (optional, for generic)
- authorization_endpoint: string (optional, for generic)

Output: Validation results, warnings, recommendations

Detects: Invalid client IDs, insecure redirect URIs, missing scopes, deprecated endpoints

s2t_catalog

List all available S2T accelerators with their capabilities and pricing.

s2t_usage

Check your API usage statistics and remaining quota.

Pricing

Tier Price Rate Limit Monthly Limit
Free $0 10/min 100
Developer $29/mo 60/min 5,000
Business $99/mo 300/min 50,000
Enterprise $299/mo 1,000/min Unlimited

Local Development

git clone https://github.com/S2TConsulting/accelerators-mcp.git
cd accelerators-mcp
npm install
npm run build
npm test

MCP Inspector

Test the server interactively with the MCP Inspector:

npx @modelcontextprotocol/inspector node dist/index.js

Running Locally

# Set API key
export S2T_API_KEY="sk_live_your_api_key"

# Run server
npm start

Testing

npm test              # Run tests once
npm run test:watch    # Watch mode
npm run test:coverage # Coverage report

Configuration Options

Environment Variables

Variable Description Default
S2T_API_KEY Your S2T API key (required) -
S2T_API_URL Custom API endpoint Production API

Claude Code

For Claude Code projects, add to ~/.mcp.json (or project-level .mcp.json):

{
  "mcpServers": {
    "s2t-accelerators": {
      "command": "npx",
      "args": ["s2t-mcp-accelerators"],
      "env": {
        "S2T_API_KEY": "sk_live_your_api_key_here"
      }
    }
  }
}

Contributing

We welcome contributions! Here's how to get started:

  1. Fork the repo and create a feature branch
  2. Install dependencies: npm install
  3. Make your changes in src/
  4. Add tests for new functionality in src/handlers.test.ts
  5. Run the test suite: npm test
  6. Submit a PR with a clear description of the change

Please ensure all tests pass before submitting.

Support

  • Website: https://www.s2tconsulting.com
  • Email: sales@s2tconsulting.com
  • Issues: https://github.com/S2TConsulting/accelerators-mcp/issues

License

MIT - See LICENSE file for details.

Recommended Servers

playwright-mcp

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
Magic Component Platform (MCP)

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.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

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.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

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

Official
Featured
Local
Kagi MCP Server

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
graphlit-mcp-server

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
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

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

Qdrant Server

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

Official
Featured