KevoDB
KevoDB MCP Server provides a standardized interface for AI agents to interact with KevoDB, a key-value database system. Developed by KevoDB, it exposes core database operations including key-value operations, range/prefix/suffix scans, transactions, and batch operations through MCP tools. The server connects to a running KevoDB instance (configurable via environment variables) and handles UTF-8 encoding/decoding of data, making it accessible through a simple string-based API. This implementation is particularly valuable for AI applications that need persistent storage with transaction support, enabling agents to read, write, and query structured data without direct database integration.
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
- database
- Source
- PulseMCP
- Repository
- github.com/kevodb/kevo-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve KevoDB 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.