comment-moderationsentiment-analysisspam-detectioncontent-intelligence
Analyzes article comments for bots, spam, sentiment, behavioral patterns, and crowd-level moderation signals.
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Manual Client & Custom JSON ConfigExpand JSON ā¾
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Overview
Use cases
Moderate article comments for bot and spam activity
Analyze multilingual sentiment across a discussion
Score comments for behavioral and commercial signals
Summarize crowd-level patterns in an article discussion
Key features
Bot and spam detection
Multilingual sentiment analysis
Five-axis comment scoring
Moderation decisions and crowd analytics
Influence support on eligible paid tiers
Capabilities & Tool Schemas
Inspect callable tools, capabilities, and parameters exposed to AI agents by Sentisift Sdks.
Extracted Tool Capabilities
Bot and spam detection
Multilingual sentiment analysis
Five-axis comment scoring
Moderation decisions and crowd analytics
Influence support on eligible paid tiers
How Sentisift Sdks works
What pickelfintech/sentisift-sdks MCP server does
The pickelfintech/sentisift-sdks MCP server provides an MCP-facing way to use the SentiSift API for article comment analysis. It is distributed as the sentisift-mcp Python package and is intended for MCP hosts such as Claude Desktop, Cursor, VS Code, and Continue.
SentiSift evaluates comments across five separate dimensions: sentiment, eloquence, length, behavioral patterns, and commercial signals. The API uses those signals to identify bots, spam, and other noise, while preserving information about genuine participation. Results include moderation decisions and analytics about the comment group rather than only a single per-comment label.
How it works
An MCP client starts the server locally and provides the SentiSift API key through the environment. The server forwards analysis requests to the hosted SentiSift service. A request includes an article URL and a list of comments; each comment can contain fields such as its text, author, and timestamp.
The pickelfintech/sentisift-sdks MCP server is an API client layer, not the SentiSift scoring or billing service itself. Authentication, scoring, and the underlying processing pipeline are handled by the separate hosted API. The public repository contains the client packages, integration code, generated API models, and tests.
Setup and configuration
Install and run the MCP package with uvx:
The package can also be installed with pip:
Set SENTISIFT_API_KEY in the environment used by the MCP host. An API key is required to call the SentiSift service and can be obtained from SentiSift's pricing page. After installation, add the server to the host's MCP configuration. The repository specifically references Claude Desktop's claude_desktop_config.json, Cursor's ~/.cursor/mcp.json, and VS Code settings, with host-specific configuration examples documented in the MCP package directory.
Tools and capabilities
The pickelfintech/sentisift-sdks MCP server supports the SentiSift comment-analysis workflow, including:
- Submitting an article URL and comment collection for analysis.
- Detecting bots, spam, and other unwanted comment activity.
- Producing multilingual sentiment analysis.
- Scoring comments for sentiment, eloquence, length, behavioral patterns, and commercial signals.
- Returning moderation decisions and aggregate or crowd-level analytics.
- Supporting Influence, which generates constructive perspectives when a discussion is one-sided on eligible paid tiers.
The provided material does not list the individual MCP tool names or their complete input and output schemas. Consult the package documentation and SentiSift API reference for those details.
Limitations and notes
The integration code is open source and MIT licensed, but the SentiSift API is a separate hosted service governed by its own terms. Using the API requires an API key. The documented free allowance is 1,000 comments with no credit card; higher-tier features and Influence availability depend on the SentiSift plan.
The server analyzes comments supplied to it along with an article URL. The repository description does not establish that it retrieves comments from arbitrary websites, performs scraping itself, or modifies a publication's comment system. The full API service, including authentication, billing, scoring, and scrapers, is maintained outside this public SDK repository.
The three SentiSift packages use semantic versioning, although pre-1.0 minor releases may contain breaking changes. The MCP package is one part of a repository that also publishes Python and Node/TypeScript SDKs; those SDKs are separate from the MCP server.
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Adoption & maintenance
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GitHub stars
1
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Last commit
1mo ago
Most recent push to the default branch.
Directory activity
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CategoryMarketing
PricingFreemium
10/11 checks healthy over the last 32d
49Quality signal: Fair Ā· 49/100How this signal is calculated ā¾
Server availabilityNot measured
Not scored for repo-hosted servers ā we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.
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Documentation & tools24/30
Adoption & activity3/15
Community engagement0/10
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Scanned 19d ago via OSV.dev Ā· sentisift-mcp (PyPI)
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