Official Python, TypeScript, and MCP-server clients for the SentiSift API.
SentiSift SDKs
以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →
Official client libraries for the SentiSift comment-moderation and intelligence API. Three published packages, all open source for the integration code so developers can read, audit, and contribute.
| Package | Source | Registry | Install |
|---|---|---|---|
| sentisift (Python) | python/ | PyPI | pip install sentisift |
| @sentisift/client (Node/TypeScript) | node/ | npm | npm install @sentisift/client |
| sentisift-mcp (MCP server) | mcp/ | PyPI | uvx sentisift-mcp |
What is SentiSift?
SentiSift filters bots, spam, and noise out of comment sections without silencing real voices. It scores each comment on five independent axes (sentiment, eloquence, length, behavioral patterns, commercial signals) and returns moderation decisions plus crowd-level analytics. On paid tiers, it also contributes constructive perspectives when a discussion skews one-sided ("Influence").
Get a free API key (1,000 comments, no credit card) at sentisift.com/pricing. Full API reference: sentisift.com/api-docs.html.
Quick start
Python
Node / TypeScript
MCP (Claude Desktop, Cursor, VS Code, Continue)
Then add the SentiSift entry to your host's MCP config (Claude Desktop's claude_desktop_config.json, Cursor's ~/.cursor/mcp.json, VS Code's settings.json, etc.). See mcp/README.md for host-specific snippets.
Repository layout
Versioning
All three packages follow Semantic Versioning. Pre-1.0 minor versions may include breaking changes. Per-package CHANGELOG.md files document every release.
Contributing
Bug reports and feature requests welcome via issues. For pull requests, please open an issue first to discuss the change.
Architecture
The full SentiSift API service (auth, billing, scoring pipeline, scrapers) lives in a separate private repository. This public repository contains only the client-facing packages and their integration code, OpenAPI-derived models, and tests.
Documentation is hosted on sentisift.com:
- HTML reference: api-docs.html
- LLM-friendly Markdown mirror: api-docs.md
- OpenAPI 3.1 spec: openapi.json
- AI-agent integration guide: AGENTS.md
- llmstxt.org index: llms.txt