mcp-tools-hub
A collection of production-ready MCP tools for common tasks such as web search, code execution, file operations, and database queries, enabling AI agents to perform these actions through a unified interface.
README
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.
Available tools
| Tool server | Description |
|---|---|
web-search |
Search the web via Tavily, return structured results |
code-runner |
Execute Python snippets in a sandboxed environment |
file-ops |
Read, write, list, and search files safely |
sqlite-query |
Run read-only SQL queries on a local SQLite database |
http-fetch |
Fetch and parse web pages, return cleaned markdown |
memory-store |
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-query
Features
- 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
└── .gitignore
Setup
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 8080
Claude 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"
}
}
}
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