Kintone
This MCP server, developed by SHIDA Yuma, enables AI assistants to interact with Kintone databases through a standardized interface. It provides tools for listing apps, reading app info, and performing CRUD operations on records via the Kintone API. The server implements custom permission handling and error checking, offering a simplified workflow for AI systems to access and manipulate Kintone data. By connecting AI capabilities with Kintone's flexible database platform, this implementation empowers AI assistants to perform tasks like data analysis, workflow automation, or custom reporting. It is particularly useful for applications requiring structured data management, business process automation, or any scenario where an AI system needs to interact with and reason about enterprise data stored in Kintone.
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 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/macrat/mcp-server-kintone
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
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.