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 "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-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: agentic-store-mcp
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 installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Latest Blog Posts
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/ramaprv/mcp-tools-hub'
If you have feedback or need assistance with the MCP directory API, please join our Discord server