BatchIt
This MCP implementation, developed using TypeScript, provides a robust foundation for building AI-powered applications. It leverages modern JavaScript features and strict type checking to ensure code quality and maintainability. The implementation focuses on modularity and extensibility, with a well-structured project setup including comprehensive linting and build configurations. It's particularly useful for developers looking to create scalable and type-safe AI integrations, enabling use cases such as natural language processing, data analysis, and machine learning model deployment without compromising on code quality or development experience.
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 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- devops-ci
- Source
- PulseMCP
- Repository
- github.com/ryanjoachim/mcp-batchit
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve BatchIt 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.