Deepseek
This MCP server, developed by vincentf305, enables integration between Claude Desktop and Deepseek models. Built with Python and Docker, it provides a bridge for Claude to leverage Deepseek's AI capabilities through a simple API. The implementation focuses on ease of setup and configuration, with features like environment variable management and Docker containerization. It's particularly useful for users wanting to extend Claude's functionality with Deepseek's models, enabling use cases such as enhanced language processing, specialized task completion, or access to Deepseek-specific features without directly interacting with the Deepseek API.
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/vincentf305/mcp-server-deepseek
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Deepseek 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.