Sprout MCP server
io.github.mepsopti/sprout-mcp·v0.1.4Model-tiered content pipeline — cheap models seed, expensive models verify
0 stars14 downloads/wk
Reviews
Write oneNobody has reviewed Sprout MCP yet.
If you have run it, two minutes of your experience saves the next person an afternoon.
Sprout MCP tools (13, 2 write)
write = sends, deletes, buys or postsRead from the package source without running it. The installed server may list more.
cancel_scheduledwrite actionCancel a pending scheduled task.
configure_routingAdd or update a routing rule for a task type.
export_chunksExport verified chunks as JSON compatible with enrich-nodes.js.
get_cost_reportGet estimated cost report by model and project.
get_review_queueList chunks needing review.
get_statsGet dashboard of chunk counts by confidence level and token usage.
list_scheduledView pending scheduled tasks.
mark_reviewedPromote or reject a chunk after review.
opus_testGenerate structured review summary for the OpusTest workflow.
recommend_modelGet model recommendation for a task type.
retry_on_errorRecord a failed attempt for a chunk and get retry guidance.
schedule_taskSchedule a task to run at a specific time or after a delay.
submit_chunkwrite actionStore content with provenance tracking.
Public scan report
scanner v0.1.10 · 2026-09-28 · same rubric, same numbers if you re-run it
- Code scan11 source files scanned25/25
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitylocal package, no credentials required12/15
- Maintenancelast push 96 days ago8/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
How Sprout MCP compares
Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 82/100
- higher than 65% of 4,460 AI and agents servers
- Tools
- 13
- the typical AI and agents server has 6
- Tools that change things
- 15%
- typical: 0%. Fewer write tools means less an agent can break
- Downloads a week
- 14
- more than 3% of 1,538 AI and agents servers with a package
What its tools let an agent do: 10 read · 2 change · 1 delete
Install Sprout MCP in Claude Code, Cursor or VS Code
claude mcp add sprout-mcp -- uvx sprout-mcp
What the publisher says
From the Sprout MCP repository's README, as published. We do not edit it. Read it on GitHub
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-mcpOr 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)
Configuration
Environment Variables
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
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 reviewShortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Sprout MCP: common questions
- Is Sprout MCP server safe?
- Mostly: it is graded B (82/100). Read the Sprout MCP safety report
- How do I install Sprout MCP?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Sprout MCP need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Sprout MCP maintained?
- The last commit was 133 days ago (2026-06-24). The latest release is v0.1.4.
- What can I use instead of Sprout MCP?
- Servers from other publishers that do the same job: Watch Skill MCP server, Emilia Protocol MCP server and Mockserver MCP server.
- How does Sprout MCP compare with other AI and agents MCP servers?
- safety score 82/100 (higher than 65% of 4,460 AI and agents servers); tools 13 (the typical AI and agents server has 6); tools that change things 15% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.
Alternatives to Sprout MCP
Same job from other publishers: the closest match first, then the best rated.
- Watch SkillWatch video and live sessions, keep timestamped evidence, and verify an agent's own work.not reviewedEstablishedB
- Emilia ProtocolExact-action approval for consequential agent actions: request, track, and verify signed receipts.not reviewedEstablishedB
- MockserverMock, record/replay, verify and chaos-test any HTTP, REST, gRPC or LLM dependency over MCP.not reviewedEstablishedA