Turn a client's Firebase Realtime Database records into answers for your next report or meeting. Connect the database to Catchr, select a discovered first-level node, and query its available columns in ChatGPT or Claude through Catchr MCP.
For freelancers and agencies, start with the data your client actually stores: discover the fields, choose what matters, and keep record keys and paths alongside the results for review.
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Each selected Firebase node can contain a different set of fields. Discover its available columns before choosing a reporting question, then use Firebase record identifiers to make the results easier to check.
Catchr discovers first-level nodes from your Firebase Realtime Database so you can select the relevant node without typing its name manually. Focus your analysis on the child records under that selection.
For client work, confirm the selected node before asking for a summary. This keeps the report tied to the intended collection of records.
Available fields are inferred from a limited sample of child records under the selected node. Review those fields and their types before selecting columns for a breakdown, comparison, or numeric summary.
Arrays are ignored, and fields containing mixed scalar types are treated as text. Base calculations on columns confirmed as numeric, and avoid treating the discovered fields as a complete inventory of everything stored in the database.
Firebase Record Key identifies an extracted record by its Firebase key. Firebase Path gives its absolute location in the database.
Include both alongside your selected columns when reviewing records that meet a condition or checking missing values. They give your team a precise reference for discussing individual results with the client.
A focused analysis, a prepared report, and a question through Catchr MCP serve different client needs. Each starts with the selected Firebase node and the columns available from it.
Use a focused analysis to understand a node's records, assemble a report when you need a consistent presentation, and use Catchr MCP for specific questions and follow-ups. Across all three, confirm the discovered columns before interpreting the results.
Connect Firebase Realtime Database in Catchr using your database URL and full service account JSON. The Firebase web API key is not the authentication method for this connection.
Select the relevant first-level node from the discovered options, then connect your AI destination through Catchr MCP. Start by asking which columns are available before requesting a client-facing analysis.
Start with field discovery, then replace the bracketed selections with your connected account, node, and chosen columns. These prompts help prepare a report, review a breakdown, investigate exceptions, and check data completeness.
Using Catchr, discover the available columns and their types for [connected account] and [selected Firebase node]. Which columns can I use in a client report? List Firebase Record Key and Firebase Path separately from the discovered data columns, identify which columns support numeric analysis, and explain the limits of sample-based field discovery.
Copy promptUsing Catchr, inspect the available fields for [connected account] and [selected Firebase node]. Confirm that [selected category column] is available, then count the returned records by that column, showing missing values separately. Which categories contain the most records in the queried data? State the query scope and any limits before summarizing the breakdown for a client meeting.
Copy promptUsing Catchr, discover the fields for [connected account] and [selected Firebase node] and confirm that [selected numeric column] is numeric. Which records have a value above [threshold]? Return the matching values with Firebase Record Key and Firebase Path, sorted from highest to lowest. If the column is unavailable or treated as text, explain the limitation before attempting the comparison.
Copy promptUsing Catchr, confirm that [user-selected columns] are available for [connected account] and [selected Firebase node]. Which returned records have missing or empty values in those columns? Summarize the affected record count for each column and list the affected records with Firebase Record Key and Firebase Path. Distinguish missing values from empty text and limit the conclusion to the records queried.
Copy promptYou need the database URL and the full service account JSON. Enter the JSON in the multiline credential field during authorization. This connection does not use the Firebase web API key for authentication.
Catchr discovers the database's first-level nodes. Select the relevant node from those options rather than entering its name manually. Field discovery and reporting then use child records under that selected node.
Fields are inferred from a limited sample of child records, so discovery may not capture every field in the node. Arrays are ignored, and mixed scalar types are treated as text. Check the available fields and types before requesting calculations.
Ask for Firebase Record Key and Firebase Path alongside your selected columns. The key identifies the extracted record, while the path gives its absolute location in Firebase. Include both when sharing records that need further review.
Connect your sources to Catchr, add the MCP server to your AI assistant, and ask about the work that matters now.
