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Expose SQLite and public API tools to LLMs via MCP safely.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-server-demo" yet — see the docs or source repo.
Use the available database tool to query SQLite: count orders from the last 30 days in the orders table and return a daily summary.
A daily summary based on SQLite query results, such as dates and order counts.
Use the external API tool to call a public endpoint, get the current weather for a specified city, and summarize it briefly in English.
Key information extracted from the API response, along with a concise summary.
Call the API tool with a missing required field to show the error message produced by input validation.
A clear validation or error-handling message explaining why the request failed.
Developers can expose SQLite query capabilities through MCP so an LLM can read and analyze local structured data within controlled tool boundaries.
When a model needs external information, this tool can call public APIs and improve reliability through input validation and error handling.
It suits developers who want to quickly demonstrate how to wrap database tools and external endpoints as MCP capabilities for MCP-compatible LLM clients.
It exposes database and external API tools through the Model Context Protocol, allowing LLMs to query SQLite and call public APIs. The description also mentions validated inputs and error handling.
Based on the provided description, it clearly supports SQLite and public APIs. Whether it supports more databases or private endpoints is not specified in the given material.
The provided material does not include installation steps, runtime requirements, or credential setup details. See the source repository for specifics.
Query e-commerce SQLite data safely and answer business analytics questions.
Connect LLM apps to query and manage multiple databases through one tool.
Call tools like weather lookup via MCP with reusable resources and prompts.
Safely query SQLite databases and preview schemas through a standardized MCP interface
Query structured data in natural language without needing SQL or API expertise.
Expose OpenAPI endpoints as MCP tools for LLM-driven REST API access.