mcp_quickstart_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., "@mcp_quickstart_serverlist the available tools and their input schemas"
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.
AI Engineering & Operator Quickstart Pack ⚡
Production-grade FastMCP servers, deterministic prompt evaluation guardrails, hybrid vector search checklists, and automation ROI scorecards for AI engineers and technical operators.
📦 What's Inside the Quickstart Pack
This repository provides open-source architectural blueprints and starter files designed to eliminate the initial 40+ hours of boilerplate when standing up enterprise AI workflows:
mcp_quickstart_server.py: A standalone FastMCP server implementation featuring:In-memory token-bucket rate limiting (prevents runaway token-burning loops).
Strict Pydantic v2 input boundary validation.
Standardized JSON-RPC 2.0 error payloads and protocol compliance.
prompt_engineering_guardrails.md: The 10 production prompt patterns we enforce across agent deployments (XML boundary encapsulation, delimiter hygiene, negative constraint enforcement).ai_workflow_audit_micro_scorecard.xlsx: Dynamic financial ROI model evaluating 10 automation workflows with sensitivity analysis.rag_production_checklist.md: 12-point pre-launch verification checklist for hybrid dense/sparse search, chunking strategies, and cross-encoder reranking.
Related MCP server: my-mcp-server2
🚀 Quickstart
1. Clone & Setup Environment
git clone https://github.com/jonmarrs/mcp-agent-starter-kit.git
cd mcp-agent-starter-kit
# Create virtual environment using uv or standard venv
uv venv
source .venv/bin/activate
# Install dependencies
uv pip install "mcp>=1.0.0" "pydantic>=2.0.0"2. Run the FastMCP Server
python mcp_quickstart_server.pyThe server starts listening on stdio, ready to connect to Claude Desktop, Cursor, OpenClaw, or custom agent runners.
{
"mcpServers": {
"quickstart": {
"command": "python",
"args": ["/path/to/mcp_quickstart_server.py"]
}
}
}🛠️ The Architecture Ladder: Choose Your Depth
Deliverable | Free Quickstart | MCP Tool Registry ($34.99) | Production RAG Kit ($39.99) | Complete Master Suite ($99.00) |
FastMCP Quickstart Server | ✅ | ✅ | ✅ | ✅ |
Prompt Guardrails & ROI Scorecard | ✅ | ✅ | ✅ | ✅ |
Production Tool Registry (12 Tools) | ❌ | ✅ | ❌ | ✅ |
Postgres & SQLite Hybrid Storage | ❌ | ✅ | ❌ | ✅ |
Dense + BM25 Reciprocal Rank Fusion | ❌ | ❌ | ✅ | ✅ |
Cross-Encoder Reranking Engine | ❌ | ❌ | ✅ | ✅ |
Multi-Agent Async Boilerplate | ❌ | ❌ | ❌ | ✅ |
Agency Legal Contracts & Proposal Pack | ❌ | ❌ | ❌ | ✅ |
All 9 Commercial Production Toolkits | ❌ | ❌ | ❌ | ✅ |
🎁 Community Welcome Discount
As a member of the developer community, get 20% OFF any production toolkit or the all-inclusive Master Suite using our launch voucher:
Voucher Code: WELCOME20
📄 License & Attribution
Quickstart Code & Blueprints: Licensed under the MIT License.
Commercial Toolkits & Contracts: Sold under Digital Viking Commercial Team Licenses.
This server cannot be deployed
Maintenance
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