CKBrennan/overtone-news-mcp
by Various
MCP server for the Overtone Intelligence API — news with tone, brand safety, and narrative shift signals for agents
MCP
CKBrennan/overtone-news-mcp
Added 1 June 2026
Overview
An MCP server that wraps the Overtone Intelligence API, enabling AI agents to retrieve news enriched with tone analysis, brand safety assessments, and narrative shift signals. It exposes these structured signals through the Model Context Protocol so agents can programmatically filter and evaluate news content.
Best for
Best for
Developers building AI agents that need nuanced, safety-aware news analysis from a single API
Use cases
- Integrate brand safety checks into a news aggregation agent
- Monitor narrative shifts in coverage about a specific topic or entity
- Filter news streams by tone (e.g., positive, negative, neutral) for automated reporting
Notes
An MCP server that wraps the Overtone Intelligence API, enabling AI agents to retrieve news enriched with tone analysis, brand safety assessments, and narrative shift signals. It exposes these structured signals through the Model Context Protocol so agents can programmatically filter and evaluate news content.
0 stars on GitHub. Last updated 2026-05-04. Licensed MIT.
Use cases
- Integrate brand safety checks into a news aggregation agent
- Monitor narrative shifts in coverage about a specific topic or entity
- Filter news streams by tone (e.g., positive, negative, neutral) for automated reporting
Pros
- Leverages MCP for straightforward integration with agent frameworks
- Provides structured, actionable signals (tone, brand safety, narrative shift) beyond raw text
- Python codebase is easy to extend and deploy
Cons
- Zero stars and unknown maintenance cadence indicate an early-stage project
- Requires an Overtone Intelligence API key, adding a dependency and potential cost
- Limited documentation and community support outside the repository
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Leverages MCP for straightforward integration with agent frameworks
- Provides structured, actionable signals (tone, brand safety, narrative shift) beyond raw text
- Python codebase is easy to extend and deploy
Cons
- Zero stars and unknown maintenance cadence indicate an early-stage project
- Requires an Overtone Intelligence API key, adding a dependency and potential cost
- Limited documentation and community support outside the repository
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