Bing Search
This MCP implementation provides a toolkit for analyzing Bing search data, offering automated collection, parsing, and trend analysis capabilities. Developed to extract insights from search queries and results, it features configurable scraping, flexible output formats, and integration with the Bing Search API. The toolkit is designed for use cases such as market research, trend forecasting, and competitive intelligence. It stands out by offering a comprehensive suite of tools specifically tailored for Bing search analysis, including automated data collection, advanced parsing, and customizable analysis features. The implementation is built with Node.js and requires a Bing Search API key for optimal functionality, though it also supports proxy usage for large-scale searches.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- search
- Source
- PulseMCP
- Repository
- github.com/seanivore/bing-searches-mcp
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve Bing Search from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.