MCP server for Reparatio — file conversion, merging, and SQL queries
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# reparatio-mcp > **Alpha software.** Interfaces, tool names, and behaviour may change without notice between versions. MCP server for [Reparatio](https://reparatio.app) — inspect, convert, merge, append, and query local data files directly from your AI assistant. Supports CSV, TSV, Excel (.xlsx / .xls), ODS, JSON, JSONL, GeoJSON, Parquet, Feather, Arrow, ORC, Avro, SQLite, YAML, BSON, SRT, VTT, HTML, Markdown, XML, SQL dumps, PDF (text layer), and files compressed with gzip, bzip2, zstd, or zip. **See also:** [reparatio-cli](https://github.com/jfrancis42/reparatio-cli) (command-line tool) · [reparatio-sdk](https://github.com/jfrancis42/reparatio-sdk) (Python SDK) --- ## How it works The MCP server runs locally on your machine. When your AI assistant calls a tool, the server reads the file from your disk, sends it to the Reparatio API for processing, and writes the result back to disk — returning the output path to the assistant. Binary data never passes through the MCP protocol layer; only file paths and options travel as JSON. --- ## Prerequisites - **Python 3.11 or later** — check with `python3 --version` - **A Reparatio API key** — required for convert, merge, append, and query. `inspect_file` works without a key. - Get a key at [reparatio.app](https://reparatio.app) (Professional plan — $79/mo) - The MCP server requires the **Professional plan**; Standard ($29/mo) does not include API or MCP access - Keys are prefixed with `rp_` `uvx` (from [uv](https://github.com/astral-sh/uv)) is the recommended way to run the server — no install step required. Install uv with: ```bash curl -LsSf https://astral.sh/uv/install.sh | sh ``` --- ## Installation **Option A — run without installing (recommended):** ```bash uvx reparatio-mcp ``` **Option B — install permanently:** ```bash pip install reparatio-mcp ``` --- ## Client configuration MCP is a client-side protocol. Your AI assistant application needs to support MCP tool calls. The sections below…
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