mcp-toolbox
Click on "Install 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-toolboxsearch ./src for FIXME"
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.
mcp-toolbox
Product/PM angle: A plug-and-play MCP tool server — add capabilities to any MCP-compatible agent (Claude Desktop, etc.) by registering pure-Python tools with zero boilerplate.
An MCP (Model Context Protocol) server exposing a growing library of agent tools: file search, reliability scoring, and prompt injection detection.
Status — milestone roadmap
Tag | Milestone | Status |
m1 | Package scaffold, tool registry, | Done |
m2 |
| Done |
m3 | Config system, CLI ( | Done |
m4 | Demo script, edge-case tests, manifest dump | Done |
Related MCP server: IteraTools MCP
Installation
pip install -e ".[dev]" # dev + tests
pip install -e ".[server]" # includes mcp SDK + pyyamlUsage
mcptb list # list registered tools
mcptb dump # JSON manifest of all tools
mcptb serve # start MCP server (requires [server] extra)Use from Claude Desktop
Requires the
[server]extra — install it first:pip install -e ".[server]"This pulls in the
mcpSDK (the stdio transport) andpyyaml.
Add to your Claude Desktop claude_desktop_config.json:
{
"mcpServers": {
"mcp-toolbox": {
"command": "python",
"args": ["-m", "mcp_toolbox.cli", "serve"],
"env": {}
}
}
}The server uses stdio transport (as required by the MCP spec) and
registers every tool in the registry automatically. The mcp package is
lazy-imported inside serve(), so the rest of the CLI (mcptb list,
mcptb dump) works without the [server] extra installed.
Tools
repo_search(directory, keyword, file_pattern="*.py")
Keyword search over a directory tree. Returns [{file, line_no, line}].
reliability_score(answer, context)
Heuristic faithfulness score (0-1) for an answer vs. its context. Returns {score, details}.
redteam_scan(text)
Detects prompt injection / jailbreak patterns. Returns {risk_level, flags, score}.
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