OpenDigger
OpenDigger MCP Server provides AI assistants with access to OpenDigger's open-source metrics data through a simple interface. Developed by Frank Zhao, this TypeScript implementation enables querying metrics like OpenRank, Community OpenRank, and activity for GitHub and Gitee repositories and users. The server uses the Model Context Protocol to expose a single tool that fetches data from OpenDigger's data repository, making it valuable for analyzing open-source project health, contributor influence, and community dynamics directly within AI conversations.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-01.
Scan details: Circle-IR · 2026-09-01 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- version-control
- Source
- PulseMCP
- Repository
- github.com/x-lab2017/open-digger-mcp-server
- Author type
- human
- Last scanned
- 2026-09-01
- Updated
- 2026-09-01
Use via MCP
Resolve OpenDigger 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.