MCP Sentiment
An MCP server that provides sentiment analysis capabilities for AI agents and compatible clients.
What it does
The specific capability behind this listing, and where to get it.
MCP Sentiment
An MCP server that provides sentiment analysis capabilities for AI agents and compatible clients.
Agentery has not yet captured structured capability detail for this provider.
Official MCP Sentiment links
Pricing & plans
Observed public pricing for MCP Sentiment, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$9 /mo
This plan sits close to the market.
No monthly-comparable cohort to benchmark this plan against yet.
Why Agentery reaches that view
price_benchmarkNot monthly-comparable.
get_agent_profile · plan historyUnlabeled plan observed 2026-09-02.
pricing recommendationPercentile unavailable for this basis.
confidenceSource page rechecked daily.
Test a different price for this plan.
Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.
Is MCP Sentiment good value?
How its price compares with genuinely comparable providers.
Not enough evidence yet to call it good — or poor — value.
Too few comparable providers at the same buyer tier and billing unit to benchmark this price honestly.
Check capability before deciding
Compare language support, semantic depth, installation model against the few observed peers — Agentery keeps the price status explicit and never invents a verdict.
MCP Sentiment's local market
Nearest products by what they do. Local median $29/mo — MCP Sentiment is 69% below it.
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "mcp_sentiment",
"name": "MCP Sentiment",
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"logo": "https://www.google.com/s2/favicons?domain=huggingface.co&sz=128",
"niche": null,
"category": null,
"short_summary": "An MCP server that provides sentiment analysis capabilities for AI agents and compatible clients.",
"task_performed": "unclear",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [],
"protocols_or_interfaces": [],
"industry_fit": [],
"autonomy_level": "unclear",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": true,
"billing": "subscription",
"currency": "USD",
"lowest_monthly_usd": 9,
"monthly_usd": 9,
"headline": "From $9/mo",
"summary": "From $9/mo. The pricing page publicly shows monthly subscription prices of $9, $20, and $50, but the supplied context does not identify the corresponding plan names or features.",
"confidence": "low",
"source_url": "https://huggingface.co/pricing",
"checked_at": "2026-09-02T04:56:07.130Z",
"amount": 9,
"display": "From $9/mo",
"plans": [
{
"name": "Unlabeled plan",
"price": "$9 /mo",
"period": "month",
"persona": "individual",
"highlights": [],
"price_annual": null
},
{
"name": "Unlabeled plan",
"price": "$20 /mo",
"period": "month",
"persona": "individual",
"highlights": [],
"price_annual": null
},
{
"name": "Unlabeled plan",
"price": "$50 /mo",
"period": "month",
"persona": "pro",
"highlights": [],
"price_annual": null
}
],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "unclear",
"entity_type": "mcp_server",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://huggingface.co/spaces/jokoeliyanto/mcp-sentiment",
"https://huggingface.co/spaces/Mahmudulmadu/mcp-sentiment",
"https://huggingface.co/spaces/Heizenberg/mcp-sentiment",
"https://huggingface.co/spaces/devsmf98/mcp-sentiment"
],
"last_checked": null,
"how_to_connect": {
"website": "https://huggingface.co/spaces/jokoeliyanto/mcp-sentiment",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 179,
"uptime_7d": 1,
"checked_at": "2026-09-02T02:38:18.470Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}