Model-tiered content pipeline — cheap models seed, expensive models verify
Sprout MCP MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. Model-tiered content pipeline — cheap models seed, expensive models verify.
Sprout routes tasks to the right model tier automatically. Haiku drafts, Sonnet fact-checks, Opus verifies. Every chunk tracks provenance, confidence, and cost.
Once Sprout MCP is connected, these are the calls the assistant has available:
submit_chunk — Store content with provenance (model, task type, sources)get_review_queue — List chunks needing review, filtered by confidence/projectmark_reviewed — Promote (seed→watered→sprouted) or reject chunksrecommend_model — Get model recommendation for a task typeget_stats — Dashboard of chunk counts, confidence levels, token usageexport_chunks — Export verified chunks as JSONopus_test — Generate structured review summary for batch verificationschedule_task — Schedule tasks to run at a specific time or delaylist_scheduled — View pending scheduled taskscancel_scheduled — Cancel a pending scheduled taskconfigure_routing — Add/update routing rules at runtimeget_cost_report — Estimated spend per model with real pricingYou will need one environment variable: SPROUT_DB_PATH. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Installation goes through your MCP client rather than a global install: point it at sprout-mcp on PyPI and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.
This sits in the planning and project tracking group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Sprout MCP's toolset — submit_chunk, get_review_queue, mark_reviewed and 10 more — is a fair guide to whether it matches your workflow. It is maintained by mepsopti; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Sprout MCP's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| submit_chunk | Store content with provenance (model, task type, sources) |
| get_review_queue | List chunks needing review, filtered by confidence/project |
| mark_reviewed | Promote (seed→watered→sprouted) or reject chunks |
| recommend_model | Get model recommendation for a task type |
| get_stats | Dashboard of chunk counts, confidence levels, token usage |
| export_chunks | Export verified chunks as JSON |
| opus_test | Generate structured review summary for batch verification |
| schedule_task | Schedule tasks to run at a specific time or delay |
| list_scheduled | View pending scheduled tasks |
| cancel_scheduled | Cancel a pending scheduled task |
| configure_routing | Add/update routing rules at runtime |
| get_cost_report | Estimated spend per model with real pricing |
| retry_on_error | Track failed attempts with backoff guidance |
{
"mcpServers": {
"sprout": {
"command": "uvx",
"args": ["sprout-mcp"],
"env": {
"SPROUT_DB_PATH": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| SPROUT_DB_PATH | Filesystem location the server is allowed to use. | Optional |
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