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Model-tiered content pipeline — cheap models seed, expensive models verify
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Model-tiered content pipeline — cheap models seed, expensive models verify
Security Report
4.5
Use Caution4.5High RiskValid MCP server (0 strong, 3 medium validity signals). 5 known CVEs in dependencies (1 critical, 3 high severity) Package registry verified. Imported from the Official MCP Registry.
11 files analyzed · 6 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
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How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-mepsopti-sprout-mcp": {
"args": [
"sprout-mcp"
],
"command": "uvx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Sprout MCP
Drop your Opus bill 80%. Model-tiered content pipeline for MCP — cheap models seed work, expensive models verify it.
Sprout routes tasks to the right model tier automatically. Haiku drafts, Sonnet fact-checks, Opus verifies. Every chunk tracks provenance, confidence, and cost.
Install
uvx sprout-mcp
Or add to Claude Code's MCP config (~/.claude/settings.json):
{
"mcpServers": {
"sprout": {
"command": "uvx",
"args": ["sprout-mcp"]
}
}
}
How It Works
Haiku (seed) → Sonnet (watered) → Opus (sprouted)
Draft Fact-check Verify
$0.005/M $0.015/M $0.075/M
- Seed — Haiku drafts content cheaply (summarization, extraction, first passes)
- Water — Sonnet reviews and fact-checks the seeds
- Sprout — Opus deep-verifies only what passed Sonnet's review
Instead of running everything through Opus at $75/M output tokens, most work stays at Haiku's $5/M. Only the final verification — typically 10-20% of total work — touches Opus.
Tools (13)
| Tool | Description |
|---|---|
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 |
Configuration
Environment Variables
| Variable | Default | Description |
|---|---|---|
SPROUT_DB_PATH | ~/.sprout/sprout.db | SQLite database location |
SPROUT_CONFIG | (none) | Path to JSON config file for custom routes and pricing |
SPROUT_MAX_RETRIES | 3 | Max retry attempts before giving up |
SPROUT_RETRY_BACKOFF | 2.0 | Exponential backoff base (seconds) |
Custom Config File
Create a JSON file and point SPROUT_CONFIG at it:
{
"routes": {
"code_review": { "tier": "sonnet", "reason": "Code analysis needs reasoning" },
"translation": { "tier": "haiku", "reason": "Straightforward language task" }
},
"pricing": {
"custom-model": 10.00
}
}
Default Routing Table
| Task Type | Tier | Why |
|---|---|---|
biography_synthesis | haiku | Factual summarization |
council_description | haiku | Historical summarization |
document_synopsis | haiku | Content summarization |
json_validation | haiku | Structural verification |
summarization | haiku | General summarization |
data_extraction | haiku | Structured extraction |
fact_check_first_pass | sonnet | Cross-reference claims |
code_review | sonnet | Code analysis |
fact_check_final | opus | Deep factual verification |
theological_analysis | opus | Domain expertise required |
complex_analysis | opus | Deep reasoning required |
Unknown task types default to haiku — start cheap, escalate if needed.
Example Workflow
You: Use recommend_model for "biography_synthesis"
Sprout: biography_synthesis → haiku-4.5 (Factual summarization)
You: Use submit_chunk to store the Haiku output
Sprout: Stored chunk abc12345 [seed] for person-001.biography
You: Use get_review_queue to see what needs fact-checking
Sprout: 1 chunk pending review
You: Use mark_reviewed to promote after Sonnet fact-checks it
Sprout: Chunk abc12345 → watered (verified by sonnet-4.6)
You: Use get_cost_report
Sprout: haiku-4.5: ~1,300 tokens (1 chunk) — $0.0065
Total: $0.0065
Development
git clone https://github.com/mepsopti/sprout-mcp.git
cd sprout-mcp
uv sync --extra dev
uv run pytest
Support
If Sprout saves you money on your AI bill, consider buying me a coffee:
License
MIT
mcp-name: io.github.mepsopti/sprout-mcp
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