JSONlify
Validate and convert JSONL fine-tuning datasets so they match each provider’s format before you upload training jobs.
Overview
io.github.irmasemma/jsonlify is an MCP server for the Build phase that validates and converts JSONL fine-tuning files across 11 AI providers using 13 tools.
What is this MCP server?
- 13 MCP tools for JSONL validation and cross-provider conversion
- Supports fine-tuning data shapes across 11 AI providers
- Hosted streamable-http remote at https://www.jsonlify.com/api/mcp
- Named product JSONlify v1.0.0 for dataset hygiene workflows
- Reduces rejected uploads from provider-specific JSONL mistakes
- 13 MCP tools; 11 AI provider formats supported (per catalog description)
- Remote URL https://www.jsonlify.com/api/mcp; version 1.0.0
- Repository: github.com/irmasemma/JSONLSPAGeneral
What problem does it solve?
Provider-specific JSONL rules cause silent validation failures and wasted fine-tune spend when your dataset was almost right but formatted for the wrong API.
Who is it for?
Builders preparing custom model fine-tunes who want agent-driven JSONL checks without writing per-vendor conversion scripts.
Skip if: Projects with no fine-tuning pipeline, or teams that only need generic JSON pretty-printing unrelated to training uploads.
What do I get? / Deliverables
After you add the JSONlify MCP remote, your agent can validate and convert datasets in one session so uploads match the target provider’s fine-tuning schema.
- Validated JSONL rows aligned to provider rules
- Converted fine-tuning files across supported providers
- Agent-callable fixes via 13 JSONlify MCP tools
Recommended MCP Servers
Journey fit
Fine-tuning file prep is build work that unblocks model customization integrations, not launch distribution or production incident response. Integrations is the right shelf because the server bridges your raw JSONL and eleven external AI provider schemas via MCP tools.
How it compares
Remote dataset validation MCP, not a model hosting or inference server.
Common Questions / FAQ
Who is io.github.irmasemma/jsonlify for?
Solo builders and small teams converting instruction or chat JSONL into provider-compliant fine-tuning files across many AI APIs.
When should I use io.github.irmasemma/jsonlify?
Use it in build integrations when you have JSONL ready but need validation and format conversion before starting a fine-tune job.
How do I add io.github.irmasemma/jsonlify to my agent?
Register the streamable-http MCP remote URL https://www.jsonlify.com/api/mcp in Claude Code, Cursor, or another MCP client that supports remotes.