Install
$ agentstack add mcp-dataworkshop-simple-mcp-server ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ● Network access Used
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Simple MCP Server
A simple Model Context Protocol (MCP) server built with FastMCP, featuring three utility tools.
Tools
- generate_uuid - Generates a random UUID (version 4 or 1)
- convert_temperature - Converts temperature between Celsius and Fahrenheit
- text_statistics - Calculates basic text statistics (characters, words, lines)
Installation
Install dependencies using uv:
uv sync
Usage
Running the Server
Start the MCP server with HTTP transport:
uv run server.py
The server will start on http://localhost:8000/mcp by default.
Testing with FastMCP Client
Run the FastMCP-based client:
uv run client_fastmcp.py
Testing with httpx Client
Run the pure httpx client (no MCP libraries required):
uv run client_httpx.py
Testing with curl Client
Run the bash script using only curl and jq:
./client_curl.sh
Requirements for curl client:
curl(for HTTP requests)jq(for JSON parsing)- Standard Unix tools (
grep,sed,awk,tr)
Project Structure
server.py- MCP server with three utility toolsclient_fastmcp.py- Client using FastMCP libraryclient_httpx.py- Client using only httpx for direct HTTP requestsclient_curl.sh- Bash script client using curl and jqmain.py- Original template file (not used)
Example Output
All three clients will:
- Connect to the server
- List available tools
- Test generate_uuid (generates a UUID v4)
- Test convert_temperature (converts 0°C to Fahrenheit → 32.0°F)
- Test text_statistics (counts characters, words, and lines in sample text)
Example:
Test 1: Generate UUID
Result: 98f99e94-7357-4dd4-85eb-76819fad3ada
Test 2: Convert temperature (0°C to Fahrenheit)
Result: 32.0
Test 3: Text statistics
Result: {"characters":47,"words":9,"lines":3}
Technical Details
- Transport: Streamable HTTP (MCP protocol over HTTP)
- Endpoint:
/mcp - Response Format: Server-Sent Events (SSE)
- Session Management: Server assigns session ID via
Mcp-Session-Idheader
Client Implementations
- FastMCP Client (
client_fastmcp.py):
- Uses official MCP Python SDK
- Handles SSE automatically
- Full protocol support
- httpx Client (
client_httpx.py):
- Pure Python with only httpx dependency
- Manual JSON-RPC implementation
- Custom SSE parsing
- curl Client (
client_curl.sh):
- Bash script using curl and jq
- Demonstrates raw HTTP requests
- No Python dependencies required
Requirements
- Python 3.13+
- fastmcp
- httpx (included as fastmcp dependency)
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: dataworkshop
- Source: dataworkshop/simple-mcp-server
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.