Akave Storage
This MCP server provides a complete interface to Akave's S3-compatible storage platform, enabling AI assistants to manage buckets and objects through natural language commands. Built with TypeScript using the AWS SDK v3, it offers comprehensive storage operations including listing buckets, uploading/downloading files, generating signed URLs, copying objects, and managing bucket lifecycle operations like creation and deletion. The implementation features intelligent file type handling with automatic text cleaning for common formats like markdown and JSON, supports both Claude Desktop and local LLM integration via Ollama, and includes robust error handling and environment-based configuration, making it valuable for AI workflows that need to interact with cloud storage for data management, file processing, or content generation tasks.
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 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/akave-ai/akave-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Akave Storage 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.