DeepSeek MCP Server
Official DeepSeek MCP server for chat, completion, model listing, and balance endpoints.
What can you do with DeepSeek MCP Server?
chat_completion: text or visual Chat Completions, thinking controls,create_response: stateless Responses API calls with text/images, reasoningcompletion: FIM completion through/beta/completions.list_models: live model discovery, including display names, context/outputget_user_balance: account availability and balances.upload_file: upload base64 JPEG, PNG, GIF, or WebP data and receive alist_files: list uploaded files with cursor, order, and purpose filters.retrieve_file: retrieve metadata for onefile_id.
Install
Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).
deepseek-mcp-serverclaude mcp add deepseek-mcp-server -e 'DEEPSEEK_API_KEY=<your deepseek_api_key>' -- npx -y deepseek-mcp-server@0.3.1
{
"mcpServers": {
"deepseek-mcp-server": {
"command": "npx",
"args": [
"-y",
"deepseek-mcp-server@0.3.1"
],
"env": {
"DEEPSEEK_API_KEY": "<your deepseek_api_key>"
}
}
}
}
Environment variables
DEEPSEEK_API_KEYrequired secret DeepSeek API key used for upstream DeepSeek requests
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
Contents
DeepSeek MCP Server
An MCP server for DeepSeek V4.1 Flash and V4 Pro APIs: text and visual chat, the Responses API, FIM completion, Files API lifecycle operations, model discovery, balance checks, and bounded in-memory conversations.
Version 1.4.0 uses the stable MCP TypeScript SDK v2 and serves both the 2026-07-28 protocol and stateless legacy clients.
What's current
Checked against the official API docs on October 19, 2026:
- The canonical fast model is
deepseek-flash, now served by DeepSeek-V4.1-Flash-1017. The October 17 model update did not change its API calling method or model-token pricing. deepseek-v4-flashanddeepseek-v4-flash-vision-expare temporary aliases fordeepseek-flash.deepseek-v4-procontinues serving V4 Pro 0813. DeepSeek reversed its announced September rerouting plan; Pro remains available with unchanged billing.- V4.1 Flash accepts visual input through Chat Completions and Responses.
V4 Pro accepts text input. Use
list_modelsto check your account's live availability. - 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 tools, theapply_patchcustom tool, structured output, and semantic streaming aggregation.completion: FIM completion through/beta/completions.list_models: live model discovery, including display names, context/output limits, input/output modalities, effort levels, and API capabilities.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.
API behavior
- Thinking is enabled by default. Canonical reasoning efforts are
none,low,high, andmax. Compatibility aliases are accepted:minimalmaps tolow;mediumandxhighmap tohigh; the thinking guide also acceptsultraas an alias formax. - Chat
stream_optionsrequiresstream=true. Chat forced tool choices (requiredor a named function) require thinking to be disabled. - Chat prefix completion (
prefix=true) and strict function tools (strict=true) automatically use/beta/chat/completions. Configured/v1and/betabases are normalized for beta requests. - Frequency and presence penalties remain accepted for compatibility, but DeepSeek ignores them.
- Responses calls are stateless: send full input history.
web_searchruns server-side withdeepseek-v4-pro; DeepSeek ignores it withdeepseek-flash. Other built-in tool types such asfile_search,code_interpreter, andmcpare ignored. The supported custom tool is{ "type": "custom", "name": "apply_patch" }. Returned calls appear incustom_tool_calls; the client is responsible for executing them and sendingcustom_tool_call_outputhistory.output_itemspreserves complete returned reasoning, message, and tool-call items for replay without enabling the full raw provider response. - FIM is beta and non-thinking. It supports streaming usage options;
echo=truecannot accompanysuffixorlogprobs. Its guide documents a 4K output limit, so do not assume the Chat output ceiling applies. DEEPSEEK_REQUEST_TIMEOUT_MSapplies to the complete request, including reading the response body and streaming output. Streams are aggregated into one MCP result; partial tokens are not forwarded as MCP notifications.
Search and Fetch billing notice
DeepSeek opened separate Search and Fetch APIs on October 17, 2026. Each costs $0.75 per 1,000 successful requests, billed by request rather than tokens or result count. A request is billable only if it returns HTTP 200 with a non-empty Search result or Fetch page content. These charges are separate from model-token charges.
DeepSeek says Search and Fetch calls made through server-side tools in DeepSeek Harness, Claude Code, and Codex are temporarily free for DeepSeek API users; per-request billing starts October 31, 2026 at 16:00 UTC (November 1 at 00:00 Beijing time). This announced waiver names those clients; do not assume it covers other integrations. Check DeepSeek's current pricing before enabling search in an agent.
This MCP server does not expose standalone Search or Fetch tools. Its
create_response tool already accepts web_search for Pro, which DeepSeek
runs on its server; Flash ignores it. The new raw JSON endpoints are
POST /v1/tools/search and POST /v1/tools/fetch. The server's
MCP_TOOL_RATE_LIMIT limits MCP invocations, not DeepSeek spending.
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.
Image limits
Inline images are limited to 32 MiB each, uploaded Files to 64 MiB, JSON request bodies to 48 MiB, and requests to 600 images. Local validation checks known inline sizes, image counts, and serialized UTF-8 body size. DeepSeek checks remote/downloaded and uploaded-file dimensions and aggregate sizes: 64 MiB total without file references, or 200 MiB including them. Dimensions are limited to 8192 pixels per side, dropping to 4096 when there are at least 15 images. External downloads must complete within 60 seconds.
The server does not fetch image URLs or read file metadata just to preflight these provider-side limits. Use the Files API for large or reused images.
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. DeepSeek storage is limited to 25 GiB
and 10,000 files per user. Its upload deadline is ten minutes; increase
DEEPSEEK_REQUEST_TIMEOUT_MS for large uploads when needed.
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.
HTTP authentication and admission limits
Local HTTP binds to loopback by default. To protect it with a shared bearer
token, set MCP_HTTP_AUTH_TOKEN; callers then send Authorization: Bearer <token>.
This is shared-token access control, not an OAuth authorization server.
Non-loopback binds now require either MCP_HTTP_AUTH_TOKEN or
MCP_HTTP_TRUST_AUTH_GATEWAY=true. Use gateway mode only when a reverse proxy
authenticates every MCP request and prevents direct access to the backend.
A browser origin allowlist is independent of authentication. Hosted installations
upgrading from 1.0.1 must explicitly configure one of these authentication paths.
MCP_TOOL_RATE_LIMIT defaults to 120 invocations per 60-second window, shared
across all tools and stateless HTTP request instances using the same provider
client. Rate-limit responses are MCP tool errors with error_type=tool_rate_limit
and retryable=true; denied calls do not reach DeepSeek or alter conversations.
MCP cancellation reaches the provider request. Cancelled replies are not saved
to conversation history. Reading a missing conversation resource returns the
protocol's -32602 error. Resource list-change notifications are not advertised.
Hosted endpoint
A separately deployed endpoint is available at
https://deepseek-mcp.ragweld.com/mcp using
Authorization: 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
MCP_HTTP_AUTH_TOKEN=
MCP_HTTP_TRUST_AUTH_GATEWAY=false
MCP_TOOL_RATE_LIMIT=120
CONVERSATION_MAX_MESSAGES=200
CONVERSATION_MAX_MESSAGES bounds the messages retained per conversation in
the process-local store. Restarting the process clears this store.
MCP compatibility
- Built on
@modelcontextprotocol/serverand@modelcontextprotocol/client2.3.1, with@modelcontextprotocol/node2.1.1. - Modern MCP 2026-07-28 is stateless: discovery uses
server/discover, requests carry protocol version and client capabilities in_meta, and completed results carryresultTypeand required caching fields. The SDK validates the corresponding HTTP headers. Stateless 2025-era handling remains available 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.
Release 1.4.0
This release refreshes MCP dependencies, corrects Pro availability and Responses
capabilities, adds apply_patch custom-tool results and FIM usage options, and
fixes beta routing, end-to-end request deadlines, split CRLF SSE boundaries,
stream error handling, and non-JSON provider errors. Existing tool names and
opt-in raw responses are preserved. The complete API/MCP audit also adds
vision request limits, complete Responses history, cancellation propagation,
truthful capabilities, missing-resource errors, tool admission limits,
reflected-credential redaction, and explicit remote HTTP authentication.
DEEPSEEK_DEFAULT_MODEL is now honored by all three generation tools.
Earlier 1.1.0–1.3.0 version identifiers were historically published and removed; npm cannot reuse them. The next available minor release is 1.4.0.
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, strict beta function calling, apply_patch custom-tool calls, 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@1.4.0 - OCI:
docker.io/dmontgomery40/deepseek-mcp-server:0.5.0is the last published image and does not contain the current npm feature set.
Documentation audit
The release audit covers every supported DeepSeek endpoint reference and its current guides, plus all 31 pages and the authoritative schema of MCP 2026-07-28. Findings, coverage, source conflicts, optional capabilities, and verification limits are recorded in the API audit and the MCP audit. Anthropic-format provider APIs were read for context; this server exposes the OpenAI-compatible Chat, Responses, FIM, Files, model, and balance routes.
Official references
- DeepSeek changelog
- DeepSeek October 17 announcement
- DeepSeek Search and Fetch guide and billing
- DeepSeek Responses compatibility guide
- DeepSeek V4.1 Flash announcement
- DeepSeek pricing and model limits
- DeepSeek visual input guide
- DeepSeek Files API guide
- DeepSeek Chat Completions
- DeepSeek Responses API
- MCP 2026-07-28 specification
- MCP TypeScript SDK v2
- MCP SDK v2 migration guide
License
MIT
Frequently asked questions
What is DeepSeek MCP Server?
Official DeepSeek MCP server for chat, completion, model listing, and balance endpoints.
How do I install DeepSeek MCP Server?
It runs on your machine. In Claude Code: claude mcp add deepseek-mcp-server -e 'DEEPSEEK_API_KEY=<your deepseek_api_key>' -- npx -y deepseek-mcp-server@0.3.1. For other clients, paste the JSON configuration from this page into their MCP settings.
Does DeepSeek MCP Server need an API key?
Yes. It expects DEEPSEEK_API_KEY, which you set in its configuration.
Is DeepSeek MCP Server open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains DeepSeek MCP Server?
It is published by DMontgomery40. AI.tn lists it but does not maintain or endorse it.
From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.