MCP PlaygroundSAFE
A Streamlit-based chat app for LLMs with plug-and-play tool support via Model Context Protocol (MCP), powered by LangChain, LangGraph, and Docker.
Overview
From the repository's own README, as read at the audited commit. Badges and raw HTML are left out.
A Streamlit-based playground that lets you chat with large language models and seamlessly plug in external Multi-Server Command Protocol (MCP) tools. Spin up multiple FastMCP servers (Weather & Currency) alongside a Streamlit client, all orchestrated with Docker Compose. The client is provider-agnostic (OpenAI • Amazon Bedrock • Anthropic • Google Gemini • Groq) thanks to LangChain + LangGraph. Built with uv for lightning-fast dependency installation.
📖 Learn More
Want a deep dive into how it all works? Check out the detailed walkthrough in this Medium article: https://medium.com/@elkhan.alizada/your-own-ai-agent-playground-build-it-with-streamlit-langgraph-and-docker-4caeb6fe0ac4
🖥️🔌 Main Interface – Connected View
🏗️ Architecture
✨ Key Features
d6e44c9a6592OBSERVED · 2026-10-08Connect
Built from this server's own package name, version and transport as found in its source — not copied from anyone's documentation, so it cannot drift against a page we do not control.
claude mcp add currency_service -- uvx currency_service
{
"mcpServers": {
"currency_service": {
"command": "uvx",
"args": [
"currency_service"
]
}
}
}Exposed tools (4)
4 read · 0 write · 0 destructive.
| Tool | Risk | Description |
|---|---|---|
convert_currency | read | |
get_currency_rates | read | |
get_current_weather | read | Get the current weather for a location. |
get_forecast | read | Get a weather forecast for a location. |
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | PASS |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | WARN |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- declared (6 observation(s))
- Network
- declared (8 observation(s))
- Shell
- none-observed
- Dependencies
- not all pinned
- Secrets in source
- none-found
Findings (4)
sse
.python-vesion
langchain-openai, langchain-anthropic, langchain-google-genai, langchain_groq
Gates applied: no_behavioural_pass, no_license.
d6e44c9a6592full audit observations/trust-audit/mcp-server/elkhn__mcp-playground.json · Report an issue / request a re-scanAudit history
Every audit this server has had. A grade with a past is a grade somebody is still checking.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-08 | d6e44c9a6592 | SAFE | B | 89 | first audit |
Questions
What is the MCP Playground MCP server?
A Streamlit-based chat app for LLMs with plug-and-play tool support via Model Context Protocol (MCP), powered by LangChain, LangGraph, and Docker.
What tools does MCP Playground expose?
4 in total: 4 read-only, 0 that write, and 0 that can delete or overwrite. Every one is listed on this page with its risk.
Is MCP Playground safe to connect to an agent?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean server reads B.
What credentials does MCP Playground need?
No credential environment variables were found in its source, so it appears to need none.
How does MCP Playground run?
It speaks sse, so it runs as a service you connect to over the network. It is published on PyPI as currency_service.
How current is this page?
The grade is for one exact copy of the source (d6e44c9a6592), read on 2026-10-08. The repository is watched and re-audited when it changes.