
Sentiment Analyzer API
io.github.Br0ski777Published by GitHub account Br0ski777v1.1.0Updated Oct 27, 2026
Analyze text sentiment, emotions, confidence scores, and key phrases. x402 USDC.
Overview
Remote MCP endpoint that analyzes text sentiment, emotions, confidence and key phrases, billed per call in USDC via x402.
- What you can do
- Analyze a single text for sentiment label, confidence score, numeric score, emotion breakdown and key phrases
- Analyze up to 20 texts in one batch call, returning per-text results, an average sentiment and a positive/negative/neutral distribution
- Support customer feedback, review, survey and social media tone analysis
- When to use it
- Useful when an assistant needs to judge the emotional tone of customer feedback, reviews, support tickets or social posts, or to compare sentiment across a batch of texts without building its own model.
- Requirements
- A remote MCP client pointed at the hosted endpoint; no API key or signup. Calls are paid per request in USDC on Base L2 through the x402 protocol, so an x402-capable client and a funded wallet are needed to complete the payment challenge. Network access required.
Installation
In SourceWeft
- Open Sentiment Analyzer API in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Web executable via SSE. Remote servers run from the web runtime once configured in a workspace.
Use with an agent
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/io.github.Br0ski777%2Fsentiment-analyzer/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.Other MCP clients
Add this to your client's mcpServers config.
{
"mcpServers": {
"sentiment-analyzer-api": {
"type": "sse",
"url": "https://sentiment-analyzer.api.klymax402.com/mcp"
}
}
}README
Sentiment Analyzer API
[MCP Server] [x402] [License: MIT]
Sentiment analysis with emotion detection, confidence scores, and key phrase extraction. Single or batch mode. Pay-per-call via x402 (USDC on Base L2) -- no API key, no signup, no rate-limit wall.
Part of the klymax402 marketplace -- 100 x402 micropayment APIs for AI agents, one wallet, USDC on Base.
Quickstart -- MCP
Add to your MCP client config (Claude Desktop, Cursor, ElizaOS, etc.):
Quickstart -- HTTP (x402)
Any x402-aware client (@x402/fetch, x402-agent-tools, ATXP) handles the 402 -> sign -> retry cycle automatically.
Tools
text_analyze_sentiment
Use this when you need to determine the emotional tone and sentiment of text. Returns structured sentiment analysis with emotion breakdown and key drivers.
Parameters
Returns
sentiment-- overall sentiment label (positive, negative, neutral)confidence-- confidence score 0-100emotions-- detected emotions with scores (joy, anger, fear, surprise, sadness)keyPhrases-- array of phrases driving the sentimentscore-- numeric sentiment score from -1.0 (negative) to 1.0 (positive)
Example response:
When to use: responding to customer feedback, reviews, or social media mentions. Essential for brand monitoring, support ticket triage, and content tone analysis.
text_analyze_sentiment_batch
Use this when you need to analyze sentiment of multiple texts at once (up to 20). Returns an array of individual sentiment results in one call.
Parameters
Returns
results-- array of sentiment objects, one per input textaverageSentiment-- overall average sentiment score across all textsdistribution-- count of positive/negative/neutral texts
Example response:
When to use: bulk analysis of reviews, survey responses, or social media feeds. Essential when comparing sentiment across multiple data points.
Example agent prompts
- "Determine the emotional tone and sentiment of text"
- "Analyze sentiment of multiple texts at once (up to 20)"
Payment
- Protocol: x402 -- HTTP-native pay-per-call, no signup, no API key
- Network: Base L2 (
eip155:8453) - Asset: USDC
- Facilitator: Coinbase CDP (primary), PayAI (fallback)
- Also reachable via ATXP (OAuth-wrapped x402, RFC 9728 protected-resource metadata)
Part of klymax402
100 x402 micropayment APIs for AI agents -- one wallet, USDC on Base, zero signup.
- Catalog: https://klymax402.com/llms.txt
- Full API reference: https://klymax402.com/llms-full.txt
- Live stats: https://klymax402.com/stats
License
MIT
Source: README.md at commit 3f03de6
Tools
0Version history
1- v1.1.0LatestSep 16, 2026
Score
50% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 daysRequired25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declaredRequired10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts