Deepseek
This MCP thinking server, developed by Matt Carey, extracts the reasoning chain from the Deepseek R1 model and makes it available to Claude Desktop and other MCP clients. Built with TypeScript and leveraging the Model Context Protocol SDK, it provides a bridge between Deepseek's API and MCP-compatible applications. The implementation focuses on exposing Deepseek R1's step-by-step reasoning capabilities through a standardized interface. It's particularly useful for developers and researchers looking to incorporate Deepseek's advanced reasoning into their workflows, enabling use cases like complex problem-solving, decision analysis, and explainable AI without directly interacting with Deepseek's 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 2026-09-19.
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
- search
- Source
- PulseMCP
- Repository
- github.com/mattzcarey/mcp-thinking
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
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.