arikusi/deepseek-mcp-server

v2.0.0 Breaking

This release includes 2 breaking changes for platform teams planning a safe upgrade.

Published 1mo MCP Developer Tools

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✓ No known CVEs patched

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✓ No known CVEs patched in this version

Topics

ai claude-code deepseek deepseek-v4 gemini-cli llm

+3 more

mcp mcp-server typescript

Summary

AI summary

Updates Highlights, Pricing, and Models across a mixed release.

Full changelog

DeepSeek V4

This release migrates the server and the hosted endpoint to DeepSeek V4.

Models

deepseek-v4-flash (new default): fast and economical, 1M context, up to 384K output
deepseek-v4-pro: top capability, 1M context, up to 384K output
deepseek-chat and deepseek-reasoner keep working as aliases that resolve to deepseek-v4-flash (chat = non-thinking, reasoner = thinking). The DeepSeek API retires those two names on 2026-07-24, so the server translates them for you. Upgrading is drop-in.

Highlights

Default model is now deepseek-v4-flash. Direct v4 calls are non-thinking by default for fast responses; enable reasoning with thinking: {type: "enabled"} or the deepseek-reasoner alias.
New reasoning_effort parameter (high / max) for thinking mode.
max_tokens upper bound raised to 384000.
Model fallback now pairs deepseek-v4-flash with deepseek-v4-pro.
The hosted worker endpoint (deepseek-mcp.tahirl.com) is on V4 as well.

Pricing (per 1M tokens)

v4-flash: $0.0028 cache hit, $0.14 cache miss, $0.28 output
v4-pro: $0.003625 cache hit, $0.435 cache miss, $0.87 output

Fixed

Declared cost_usd and routed_from in the deepseek_chat output schema, which strict MCP clients rejected under SDK 1.29 structured-content validation.

Full notes in CHANGELOG.md.

Breaking Changes

Model names `deepseek-chat` and `deepseek-reasoner` are retired on 2026-07-24; they now alias to `deepseek-v4-flash` (chat) or enable reasoning via `thinking: {type: "enabled"}`.
Default model changed from previous version to `deepseek-v4-flash`.

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About arikusi/deepseek-mcp-server

MCP server for DeepSeek AI with chat, reasoning, multi-turn sessions, function calling, thinking mode, and cost tracking.