CONNECT APP

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DeepSeek is an AI-powered tool that helps developers quickly find, understand, and optimize code using natural language search and contextual suggestions. It integrates seamlessly with your workflow, offering insights into your codebase to improve productivity and code quality. Perfect for teams and solo developers, DeepSeek simplifies code navigation and accelerates development.

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MCP

Give your agent DeepSeek tools

Every DeepSeek action is exposed as an MCP tool on Pipedream's remote server. Point a client at it with your end user's ID and Connect resolves that user's DeepSeek account for each tool call — you store no tokens.

Pipedream Connect

// accessToken: mint a short-lived token with the Connect SDK — see the MCP guide
const transport = new StreamableHTTPClientTransport(
  new URL("https://remote.mcp.pipedream.net/v3"),
  {
    requestInit: {
      headers: {
        Authorization: `Bearer ${accessToken}`,
        "x-pd-project-id": "{project_id}",
        "x-pd-environment": "production",
        "x-pd-external-user-id": "{external_user_id}", // any stable ID for this user in your system
        "x-pd-app-slug": "deepseek",
      },
    },
  },
)

const mcp = new Client({ name: "my-agent", version: "1.0.0" })
await mcp.connect(transport)

const { tools } = await mcp.listTools()

// e.g. run Create Chat Completion:
const result = await mcp.callTool({
  name: "deepseek-create-chat-completion",
  arguments: {
    messages: ["Messages"],
    frequencyPenalty: "Frequency Penalty",
  },
})

# access_token: mint a short-lived token with the Connect SDK — see the MCP guide
headers = {
    "Authorization": f"Bearer {access_token}",
    "x-pd-project-id": "{project_id}",
    "x-pd-environment": "production",
    "x-pd-external-user-id": "{external_user_id}",  # any stable ID for this user in your system
    "x-pd-app-slug": "deepseek",
}

async with streamablehttp_client("https://remote.mcp.pipedream.net/v3", headers=headers) as (read, write, _):
    async with ClientSession(read, write) as session:
        await session.initialize()
        tools = await session.list_tools()

        # e.g. run Create Chat Completion:
        result = await session.call_tool("deepseek-create-chat-completion", {
            "messages": ["Messages"],
            "frequencyPenalty": "Frequency Penalty",
        })

MCP guide →

API PROXY

Call the DeepSeek API directly

For an endpoint with no pre-built tool, the Connect proxy forwards your request to the DeepSeek API with the connected user's credentials attached. You store no tokens and write no refresh logic.

Pipedream Connect

const resp = await pd.proxy.get({
  externalUserId: "{external_user_id}", // any stable ID for this user in your system
  accountId: "apn_xxxxxxx",
  url: "https://api.example.com/v1/me",
})

// Any allowed DeepSeek endpoint works here. Pipedream attaches the
// connected account's credentials to the outgoing request.

# The path segment is the target URL, URL-safe base64 encoded:
# https://api.example.com/v1/me

curl "https://api.pipedream.com/v1/connect/{project_id}/proxy/aHR0cHM6Ly9hcGkuZXhhbXBsZS5jb20vdjEvbWU?external_user_id={external_user_id}&account_id=apn_xxxxxxx" \
  -H "Authorization: Bearer {access_token}" \
  -H "x-pd-environment: production"

API proxy guide →

SDK

Run DeepSeek actions from your backend

Connect a user's DeepSeek account once, then run Create Chat Completion on their behalf from your own code — TypeScript, Python, or plain HTTP.

Pipedream Connect

import { PipedreamClient } from "@pipedream/sdk"

const pd = new PipedreamClient({
  projectId: process.env.PIPEDREAM_PROJECT_ID!,
  clientId: process.env.PIPEDREAM_CLIENT_ID!,
  clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
  projectEnvironment: "production",
})

const result = await pd.actions.run({
  id: "deepseek-create-chat-completion",
  externalUserId: "{external_user_id}", // any stable ID for this user in your system
  configuredProps: {
    deepseek: { authProvisionId: "apn_xxxxxxx" },
    messages: ["Messages"],
    frequencyPenalty: "Frequency Penalty",
  },
})

from pipedream import Pipedream

pd = Pipedream(
    client_id="{oauth_client_id}",
    client_secret="{oauth_client_secret}",
    project_id="{project_id}",
    project_environment="production",
)

result = pd.actions.run(
    id="deepseek-create-chat-completion",
    external_user_id="{external_user_id}",  # any stable ID for this user in your system
    configured_props={
        "deepseek": {"authProvisionId": "apn_xxxxxxx"},
        "messages": ["Messages"],
        "frequencyPenalty": "Frequency Penalty",
    },
)

curl -X POST https://api.pipedream.com/v1/connect/{project_id}/actions/run \
  -H "Content-Type: application/json" \
  -H "X-PD-Environment: production" \
  -H "Authorization: Bearer {access_token}" \
  -d '{
    "external_user_id": "{external_user_id}",
    "id": "deepseek-create-chat-completion",
    "configured_props": {
      "deepseek": { "authProvisionId": "apn_xxxxxxx" },
      "messages": ["Messages"],
      "frequencyPenalty": "Frequency Penalty"
    }
  }'