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Enable AI agents to manage live REST API records with full CRUD operations.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "fancy-api" yet — see the docs or source repo.
Use fancy-api to list records from the customers table where users registered within the last 30 days and status is active. Return name, email, and signup date, sorted by newest first.
A filtered list of matching customer records with key fields shown in descending signup date order.
Use fancy-api to insert the following lead records into the leads table with company name, contact person, email, and source channel. Check for duplicate emails, skip duplicates, and summarize the result.
New records are inserted successfully, with duplicates skipped and an import summary returned.
With fancy-api, find records in the inventory table where price is null or stock is negative. First generate an issue list; then mark missing-price records as pending_review and update negative-stock records to invalid.
An issue report is produced and the affected records are updated with the requested status changes.
Convert OpenAPI specs into MCP servers so AI agents can call APIs.
Turn existing APIs and databases into MCP tools for direct AI use.
Auto-generate MCP servers so AI can query data sources without code.
Turn OpenAPI specs into MCP servers for LLM access to REST APIs.
Manage files, monitor systems, keep notes, and fetch weather via MCP.
Turn a running FastAPI app into an MCP server for natural-language API calls.