Integrate DeepSeek LLMs with MCP Applications
An MCP server for DeepSeek V4.1 Flash: text/visual chat, FIM completion, a Files API, model discovery, and balance checks, via 11 exposed tools.
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Why it matters
Connect powerful DeepSeek language models, including their advanced reasoning capabilities, to any MCP-compatible application. Enable multi-turn conversations and leverage anonymous proxy access for seamless integration.
Outcomes
What it gets done
Integrate DeepSeek models (R1, V3) via MCP protocol.
Enable anonymous proxy access to the DeepSeek API.
Support multi-turn conversations with full message history.
Configure model parameters like temperature, token limits, and sampling.
Install
Add it to your toolbox
Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/vb-deepseek-mcp-server | bash After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.
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Overview
DeepSeek MCP Server
An MCP server for DeepSeek's V4 API, exposing only its currently documented surface: chat completions on deepseek-v4-flash or deepseek-v4-pro with thinking mode and streaming, FIM completion, model listing, and account balance. Use it when an MCP client needs to call DeepSeek's V4 models directly for chat or code completion, including its thinking and reasoning mode, rather than a general-purpose or speculative feature set.
What it does
An MCP server for DeepSeek's V4.1 Flash API: text and visual chat, the Responses API, FIM (fill-in-the-middle) completion, Files API lifecycle operations, model discovery, balance checks, and bounded in-memory conversations. As of September 2026, the canonical fast model is deepseek-flash (currently V4.1 Flash), which accepts visual input, documents a 1M-token context window, and up to 384K output tokens. "Multimodal" here means image understanding only - the server does not generate images, video, or audio.
It exposes 11 tools: chat_completion (text/visual chat completions with thinking controls, function tools, JSON output, streaming, optional conversation_id memory), create_response (stateless Responses API with text/images, reasoning controls, web search, structured output), completion (FIM via /beta/completions), list_models, get_user_balance, upload_file/list_files/retrieve_file/delete_file (Files API), and reset_conversation/list_conversations for local in-memory chat state.
Inputs and outputs
Requires Node.js 20+. Run directly over stdio:
DEEPSEEK_API_KEY="REPLACE_WITH_DEEPSEEK_KEY" npx -y deepseek-mcp-server@1
Or install via Claude Code: claude mcp add deepseek --env DEEPSEEK_API_KEY="..." -- npx -y deepseek-mcp-server@1. chat_completion accepts an image by URL, as an inline base64 data URL, or via a previously-uploaded file_id from upload_file - the same uploaded file can be reused with create_response.
Who it's for
Developers who want DeepSeek's current V4.1 Flash model - including its vision and file-handling capabilities - available as MCP tools in Claude Code, Codex CLI, or another MCP client, without hand-rolling the API integration.
Upload safety boundary
upload_file accepts raw base64 or a supported image data URL, but deliberately does not accept local file paths and does not fetch arbitrary URLs server-side. Decoded uploads are capped at 64 MiB and signature-checked before upload. Uploaded data is stored under your DeepSeek account; set an expiry (3,600-2,592,000 seconds) or call delete_file when it shouldn't persist.
Streamable HTTP
Beyond stdio, the server can run as a local HTTP endpoint:
DEEPSEEK_API_KEY="..." MCP_TRANSPORT=streamable-http MCP_HTTP_HOST=127.0.0.1 MCP_HTTP_PORT=3001 npx -y deepseek-mcp-server@1
defaulting to http://127.0.0.1:3001/mcp. For browser clients, MCP_HTTP_ALLOWED_ORIGINS sets an exact comma-separated origin allowlist - any request carrying an Origin header is rejected with 403 unless it's allowlisted (native clients that omit Origin are unaffected). A separately-deployed hosted endpoint is also available, with its own release cycle that may lag the npm/GitHub release - tools/list should be inspected before relying on a newly added tool there. Optional environment variables also let you point at a different DEEPSEEK_BASE_URL, adjust DEEPSEEK_REQUEST_TIMEOUT_MS, set a DEEPSEEK_DEFAULT_MODEL, and cap in-memory conversation length via CONVERSATION_MAX_MESSAGES. Supported image formats for both chat and Files API uploads are JPEG, PNG, GIF, and WebP, with a detail setting of low, high, original, or auto.
Source README
DeepSeek MCP Server
An MCP server for DeepSeek's current V4.1 Flash API: text and visual chat, the
Responses API, FIM completion, Files API lifecycle operations, model discovery,
balance checks, and bounded in-memory conversations.
Version 1.0.1 uses the stable MCP TypeScript SDK v2 and serves both the
2026-07-28 protocol and stateless legacy clients.
What's current
As of September 10, 2026:
- The canonical fast model is
deepseek-flash, currently DeepSeek V4.1 Flash. deepseek-v4-flashanddeepseek-v4-flash-vision-expare temporary aliases
fordeepseek-flash.- DeepSeek announced that
deepseek-v4-prowill begin serving V4.1 Flash on
September 14 until V4.1 Pro is released. - V4.1 Flash accepts visual input through Chat Completions and Responses.
- The Files API supports upload, list, retrieve, and delete for reusable image
inputs. - DeepSeek documents a 1M-token context window and up to 384K output tokens for
deepseek-flash.
“Multimodal” here means image understanding. This server does not generate
images, video, or audio.
Tools
The server exposes eleven tools:
chat_completion: text or visual Chat Completions, thinking controls,
function tools, JSON output, streaming aggregation, and optionalconversation_idmemory.create_response: stateless Responses API calls with text/images, reasoning
controls, function/custom tools, web search, structured output, and semantic
streaming aggregation.completion: FIM completion through/beta/completions.list_models: live model discovery.get_user_balance: account availability and balances.upload_file: upload base64 JPEG, PNG, GIF, or WebP data and receive a
reusable DeepSeekfile_id.list_files: list uploaded files with cursor, order, and purpose filters.retrieve_file: retrieve metadata for onefile_id.delete_file: delete one uploaded file.reset_conversation: clear one local in-memory conversation.list_conversations: list local in-memory conversation IDs.
Every tool declares an MCP output schema and behavior annotations. Full
provider payloads remain opt-in through include_raw_response=true.
Install
Node.js 20 or newer is required.
Run directly over stdio:
DEEPSEEK_API_KEY="REPLACE_WITH_DEEPSEEK_KEY" npx -y deepseek-mcp-server@1
Codex CLI:
codex mcp add deepseek --env DEEPSEEK_API_KEY="REPLACE_WITH_DEEPSEEK_KEY" -- npx -y deepseek-mcp-server@1
Claude Code:
claude mcp add deepseek --env DEEPSEEK_API_KEY="REPLACE_WITH_DEEPSEEK_KEY" -- npx -y deepseek-mcp-server@1
Example MCP client configuration:
{
"mcpServers": {
"deepseek": {
"command": "npx",
"args": ["-y", "deepseek-mcp-server@1"],
"env": {
"DEEPSEEK_API_KEY": "REPLACE_WITH_DEEPSEEK_KEY"
}
}
}
}
Visual input
chat_completion accepts image URLs:
{
"message": [
{ "type": "text", "text": "Describe this image." },
{
"type": "image_url",
"image_url": {
"url": "https://example.com/photo.png",
"detail": "high"
}
}
]
}
It also accepts a supported base64 data URL without first uploading it:
{
"message": [
{ "type": "text", "text": "What is shown here?" },
{
"type": "file",
"file_data": "data:image/png;base64,iVBORw0KGgo...",
"filename": "image.png"
}
]
}
For reuse, call upload_file, then pass its returned ID:
{
"filename": "diagram.png",
"file_data": "iVBORw0KGgo...",
"expires_after_seconds": 86400
}
{
"message": [
{ "type": "text", "text": "Explain this diagram." },
{ "type": "file", "file_id": "file-api-..." }
]
}
The same uploaded file can be used with create_response:
{
"input": [
{
"role": "user",
"content": [
{ "type": "input_text", "text": "Read the image." },
{ "type": "input_image", "file_id": "file-api-..." }
]
}
]
}
Supported image formats are JPEG, PNG, GIF, and WebP. Detail may be low,high, original, or auto.
Upload safety boundary
upload_file accepts raw base64 or a supported image data URL. It deliberately
does not accept local file paths and does not fetch arbitrary URLs on the
server. Decoded uploads are limited to 64 MiB, and the bytes are
signature-checked before upload. Uploaded data is stored by DeepSeek under your
account; use an expiry or delete_file when it should not persist. Expiry must
be between 3,600 and 2,592,000 seconds.
Streamable HTTP
Run a local HTTP endpoint:
DEEPSEEK_API_KEY="REPLACE_WITH_DEEPSEEK_KEY" \
MCP_TRANSPORT=streamable-http \
MCP_HTTP_HOST=127.0.0.1 \
MCP_HTTP_PORT=3001 \
npx -y deepseek-mcp-server@1
The endpoint defaults to http://127.0.0.1:3001/mcp.
For browser clients, set an exact comma-separated origin allowlist:
MCP_HTTP_ALLOWED_ORIGINS=https://app.example.com,http://localhost:3000
Requests that include an Origin header are rejected with 403 unless the
origin is allowlisted. Native clients that omit Origin are unaffected.
Hosted endpoint
A separately deployed endpoint is available athttps://deepseek-mcp.ragweld.com/mcp usingAuthorization: Bearer <token>. The hosted deployment has its own release
cycle and may lag the npm/GitHub release; inspect tools/list before relying
on a newly added tool.
Environment
Required:
DEEPSEEK_API_KEY=your-api-key
Optional:
DEEPSEEK_BASE_URL=https://api.deepseek.com
DEEPSEEK_REQUEST_TIMEOUT_MS=120000
DEEPSEEK_DEFAULT_MODEL=deepseek-flash
MCP_TRANSPORT=stdio
MCP_HTTP_HOST=127.0.0.1
MCP_HTTP_PORT=3001
MCP_HTTP_PATH=/mcp
MCP_HTTP_ALLOWED_ORIGINS=https://app.example.com,http://localhost:3000
CONVERSATION_MAX_MESSAGES=200
CONVERSATION_MAX_MESSAGES bounds the total messages retained in the
process-local conversation store. Restarting the process clears this store.
MCP compatibility
- Built on
@modelcontextprotocol/server,@modelcontextprotocol/node, and@modelcontextprotocol/client2.0. - Streamable HTTP negotiates MCP 2026-07-28 and falls back to stateless
2025-era handling for older clients. - Stdio chooses the protocol era from the opening exchange and pins one server
instance for that connection. - Static discovery/list results carry one-hour public cache hints; dynamic
resource lists, runtime data, live account data, and conversations remain
private and short-lived or uncached. - Explicit
conversation_idmemory is application state and works independently
of transport session state.
Migrating from 0.6.0
- The default model changed from
deepseek-v4-flashtodeepseek-flash. - The MCP SDK moved from the monolithic v1 package to the split v2 packages.
MCP_HTTP_STATEFUL_SESSIONwas removed. HTTP protocol handling is now
per-request/stateless; useconversation_idfor retained chat context.- Four Files API tools and visual inputs were added.
- Existing tool names and
include_raw_responsebehavior remain compatible.
Development and verification
npm ci
npm run build
npm test
npm pack --dry-run
Credentialed smoke tests:
DEEPSEEK_API_KEY="REPLACE_WITH_DEEPSEEK_KEY" npm run test:live
DEEPSEEK_MCP_AUTH_TOKEN="REPLACE_WITH_TOKEN" npm run test:remote
The live smoke covers model listing, balance, text chat, thinking streaming,
Responses, FIM, visual input, and a Files upload/retrieve/list/delete lifecycle
with cleanup.
Registry identity
- MCP Registry:
io.github.DMontgomery40/deepseek - npm:
deepseek-mcp-server@1.0.1 - OCI:
docker.io/dmontgomery40/deepseek-mcp-server:0.5.0is the last
published image and does not contain the 1.0.1 feature set.
Official references
FAQ
Common questions
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