Kintone
This MCP server for Kintone, developed by r3-yamauchi, integrates the Model Context Protocol with the Kintone low-code platform API. Built with Node.js and leveraging the MCP SDK, it enables AI agents to interact with Kintone applications through natural language. The implementation focuses on bridging the gap between AI and business process management, allowing for operations like data retrieval, record creation, and workflow automation within Kintone. It's particularly useful for organizations looking to enhance their Kintone-based systems with AI capabilities, enabling use cases such as automated data entry, intelligent reporting, and AI-assisted process optimization without directly dealing with the complexities of the Kintone API.
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
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/r3-yamauchi/kintone-mcp-server
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve Kintone 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.