mcp-tools-hub
Provides tools to run read-only SQL queries on a local SQLite database, enabling agents to retrieve and analyze structured data.
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-tools-hubSearch the web for Python AI tutorials"
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-tools-hub
A collection of production-ready Model Context Protocol (MCP) tools for common tasks — web search, file system access, code execution, database queries, and more. Drop-in tools for any MCP-compatible AI agent or Claude Desktop setup.
What is MCP?
Model Context Protocol (MCP) is an open standard that lets AI models interact with external systems through a unified tool interface. This repo packages useful tools as MCP servers that any compatible agent can call.
Related MCP server: mcp-toolkit
Available tools
Tool server | Description |
| Search the web via Tavily, return structured results |
| Execute Python snippets in a sandboxed environment |
| Read, write, list, and search files safely |
| Run read-only SQL queries on a local SQLite database |
| Fetch and parse web pages, return cleaned markdown |
| Simple key-value memory for agents to persist state |
Architecture
Each tool is a standalone FastMCP server. They can be run individually or composed together via a gateway:
Agent (Claude / LangGraph / any MCP client)
│
│ MCP protocol (JSON-RPC over stdio or HTTP)
│
┌───────▼────────────────────────────────┐
│ MCP Gateway │
│ routes tool calls to the right server │
└──┬────────┬────────┬────────┬──────────┘
│ │ │ │
web-search code-runner file-ops sqlite-queryFeatures
Built with FastMCP — minimal boilerplate, clean tool definitions
Input validation via Pydantic on every tool
Sandboxed code execution (no network/filesystem access from runner)
Configurable allow-lists for file-ops and sqlite-query
Structured JSON responses with consistent error format
Ready for Claude Desktop via
mcpServersconfig
Tech stack
FastMCP · Pydantic v2 · httpx · Tavily API · RestrictedPython
Project structure
mcp-tools-hub/
├── src/
│ ├── servers/
│ │ ├── web_search.py # Tavily-backed search tool
│ │ ├── code_runner.py # sandboxed Python execution
│ │ ├── file_ops.py # file system tools
│ │ ├── sqlite_query.py # SQL query tool
│ │ ├── http_fetch.py # web page fetcher
│ │ └── memory_store.py # agent memory tool
│ └── gateway.py # multi-server MCP gateway
├── examples/
│ └── claude_desktop_config.json
├── requirements.txt
└── .gitignoreSetup
pip install -r requirements.txt
export TAVILY_API_KEY=...
# Run a single tool server (stdio mode for Claude Desktop)
python -m src.servers.web_search
# Run all servers via gateway (HTTP mode)
python -m src.gateway --port 8080Claude Desktop config
{
"mcpServers": {
"web-search": {
"command": "python",
"args": ["-m", "src.servers.web_search"],
"cwd": "/path/to/mcp-tools-hub"
},
"code-runner": {
"command": "python",
"args": ["-m", "src.servers.code_runner"],
"cwd": "/path/to/mcp-tools-hub"
}
}
}This server cannot be deployed
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