pulsemcp verified Safe content atomic mcp-remote

DeepSeek + Claude

A server implementation that combines DeepSeek's reasoning capabilities with Claude 3.5 Sonnet's response generation through OpenRouter. Built with TypeScript and the MCP protocol, it enables AI assistants to leverage both models' strengths - using DeepSeek for analytical thinking and Claude for natural language output. This implementation is particularly valuable for users who want to enhance their AI interactions by combining multiple models' capabilities in a single conversation flow.

Cognium trust score

97%

Tier

Verified

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 2026-09-30.

Scan details: Circle-IR · 2026-09-30 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: other
Source: PulseMCP
Repository: github.com/niko91i/mcp-deepseek-v3-et-claude-desktop
Author type: human
Last scanned: 2026-09-30
Updated: 2026-09-30

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MCP

Resolve DeepSeek + Claude 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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"