# How to integrate Linkup MCP with DeepSeek Harness

```json
{
  "title": "How to integrate Linkup MCP with DeepSeek Harness",
  "toolkit": "Linkup",
  "toolkit_slug": "linkup",
  "framework": "DeepSeek Harness",
  "framework_slug": "deepseek",
  "url": "https://composio.dev/toolkits/linkup/framework/deepseek",
  "markdown_url": "https://composio.dev/toolkits/linkup/framework/deepseek.md",
  "updated_at": "2026-08-14T10:05:22.150Z"
}
```

## Introduction

DeepSeek Harness (dsh) is an open-source agent runtime from DeepSeek AI, and every part of it is a plugin, so you can swap out the model adapter, the tool registry, or the agent loop. It runs on the Cordis framework and comes with a local Web UI, a headless CLI runner, and a Python SDK. You can point it at DeepSeek V4-Pro and V4-Flash, or at Anthropic, OpenAI, and other OpenAI-compatible providers. It is MIT licensed and still in developer preview.
This guide shows how to connect your Linkup account to DeepSeek Harness, and you can do it with either the Composio Connect CLI or the Composio Connect MCP. The dsh-base bundle gives shell execution as a first-class tool, so the CLI is the easiest path for personal use. It is quick to set up and needs no server config, and the MCP path works well too, since the harness comes with a built-in MCP client.

## Also integrate Linkup with

- [ChatGPT Work](https://composio.dev/toolkits/linkup/framework/chatgpt)
- [Antigravity](https://composio.dev/toolkits/linkup/framework/antigravity)
- [OpenAI Agents SDK](https://composio.dev/toolkits/linkup/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/linkup/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/linkup/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/linkup/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/linkup/framework/codex)
- [Grok Build](https://composio.dev/toolkits/linkup/framework/grok-build)
- [Cursor](https://composio.dev/toolkits/linkup/framework/cursor)
- [VS Code](https://composio.dev/toolkits/linkup/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/linkup/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/linkup/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/linkup/framework/hermes-agent)
- [Pi](https://composio.dev/toolkits/linkup/framework/pi-agent)
- [Google ADK](https://composio.dev/toolkits/linkup/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/linkup/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/linkup/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/linkup/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/linkup/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/linkup/framework/crew-ai)
- [Pydantic AI](https://composio.dev/toolkits/linkup/framework/pydantic-ai)
- [AutoGen](https://composio.dev/toolkits/linkup/framework/autogen)

## TL;DR

### What is Composio Connect?
Composio Connect lets anyone plug 1,000+ applications directly into their agent harness, including DeepSeek Harness, through a single hosted MCP endpoint. Each task runs as a session, a scoped runtime that ties together the user, the available toolkits, authentication, and execution state. It can:
- Discover and load tools on-demand. A small set of meta tools lets the agent search for the right tool at runtime, so you never load hundreds of tool definitions into context.
- Chain tools in a sandboxed remote workbench. Multi-step workflows run server-side, passing outputs between tools and working with files in the session's sandbox, so long chains finish without a lot of back-and-forth with the LLM.
- Manage authentication end-to-end. Managed OAuth, per-user connected accounts, and account isolation are all handled for you, so you never wire up auth yourself.

## Connect Linkup to DeepSeek Harness

### Prerequisites: Install DeepSeek Harness
DeepSeek Harness needs Node.js (20 or 22) and pnpm. Build it from source. This is also what the MCP path in Option 2 requires, since the built-in MCP client resolves its dependencies from the checkout:

```bash
git clone https://github.com/deepseek-ai/deepseek-harness.git
cd deepseek-harness
pnpm install
pnpm run build
pnpm dsh web
```

## What is the Linkup MCP server, and what's possible with it?

The Linkup MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Linkup account. It provides structured and secure access to enterprise-grade web search and natural language answering, so your agent can perform actions like retrieving relevant information, answering questions, summarizing sources, and surfacing insights from the web on your behalf.
- Natural language question answering: Ask your agent complex or open-ended questions and get concise, sourced natural language answers pulled from web data.
- Structured web search and insights retrieval: Let your agent perform deep searches on any topic and return structured insights, detailed summaries, or raw search results as needed.
- Source-backed information synthesis: Get responses that include not just answers but citations to the original web sources, making it easy to verify and explore further.
- Customizable search depth and output: Have the agent adjust search precision, control answer format (summary, structured, or detailed search results), and even include images if your use case needs them.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `LINKUP_CREATE_RESPONSE` | Create Response | Proxy endpoint for OpenAI-compatible response generation. Used when the OpenAI client's base URL is set to Linkup. Supports 'linkup-standard' for faster results and 'linkup-deep' for more comprehensive results. |
| `LINKUP_FETCH_WEBPAGE` | Fetch Webpage | Fetch and retrieve a markdown representation of a webpage from a given URL. Supports optional JavaScript rendering for single-page applications, raw HTML extraction, and image extraction from the webpage content. Use this when you need to extract clean, structured content from web pages. |
| `LINKUP_GET_CREDITS_BALANCE` | Get Credits Balance | Tool to retrieve the current credits balance for your Linkup account. Returns the number of credits remaining that can be used for search and fetch operations. |
| `LINKUP_SEARCH` | Search Linkup | Search the web and retrieve insights using Linkup's API. This action provides three output modes: natural language answers with sources (sourcedAnswer), raw search context (searchResults), or custom structured JSON (structured). Supports filtering by date range and domains, with optional image results. Standard depth uses 1 credit, deep search uses 10 credits. Only indexes publicly available web content; private repositories and internal endpoints return no results. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Linkup MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like DeepSeek Harness, Claude, Cursor, etc. directly to your Linkup account. It provides structured and secure access so your agent can act on your behalf using natural language commands.

## Complete Code

None listed.

## Conclusion

### Way Forward
With Linkup connected, DeepSeek Harness can now act on your behalf whenever you ask it to.
From here, you can extend the harness further:
- Connect more apps: Calendar, Slack, Notion, Linear, and hundreds of others are available through the same Composio Connect setup, and each new integration adds to what your agent can do for you.
- Build workflows across tools: Once multiple apps are connected, DeepSeek Harness can chain actions together, so it can turn an email into a calendar invite, a Slack message into a Linear ticket, or a meeting note into a follow-up draft.
- Use the plugin system: Wrap common Linkup flows as dsh plugins or prompt templates so recurring tasks become one-line commands, and bundle your most-used Linkup tools into a named profile you can boot on demand.
If you run into trouble or want to share what you've built, join the [community](https://discord.com/invite/composio) or check out the [Docs](https://docs.composio.dev?utm_source=toolkits&utm_medium=framework_template&utm_campaign=deepseek-harness&utm_content=docs) for more configuration options.

## How to build Linkup MCP Agent with another framework

- [ChatGPT Work](https://composio.dev/toolkits/linkup/framework/chatgpt)
- [Antigravity](https://composio.dev/toolkits/linkup/framework/antigravity)
- [OpenAI Agents SDK](https://composio.dev/toolkits/linkup/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/linkup/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/linkup/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/linkup/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/linkup/framework/codex)
- [Grok Build](https://composio.dev/toolkits/linkup/framework/grok-build)
- [Cursor](https://composio.dev/toolkits/linkup/framework/cursor)
- [VS Code](https://composio.dev/toolkits/linkup/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/linkup/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/linkup/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/linkup/framework/hermes-agent)
- [Pi](https://composio.dev/toolkits/linkup/framework/pi-agent)
- [Google ADK](https://composio.dev/toolkits/linkup/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/linkup/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/linkup/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/linkup/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/linkup/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/linkup/framework/crew-ai)
- [Pydantic AI](https://composio.dev/toolkits/linkup/framework/pydantic-ai)
- [AutoGen](https://composio.dev/toolkits/linkup/framework/autogen)

## Related Toolkits

- [Composio](https://composio.dev/toolkits/composio) - Composio is an integration platform that connects AI agents with hundreds of business tools. It streamlines authentication and lets you trigger actions across services—no custom code needed.
- [Composio search](https://composio.dev/toolkits/composio_search) - Composio search is a unified web search toolkit spanning travel, e-commerce, news, financial markets, images, and more. It lets you and your apps tap into up-to-date web data from a single, easy-to-integrate service.
- [Perplexityai](https://composio.dev/toolkits/perplexityai) - Perplexityai delivers natural, conversational AI models for generating human-like text. Instantly get context-aware, high-quality responses for chat, search, or complex workflows.
- [Browser tool](https://composio.dev/toolkits/browser_tool) - Browser tool is a virtual browser integration that lets AI agents interact with the web programmatically. It enables automated browsing, scraping, and action-taking from any AI workflow.
- [Ai ml api](https://composio.dev/toolkits/ai_ml_api) - Ai ml api is a suite of AI/ML models for natural language and image tasks. It provides fast, scalable access to advanced AI capabilities for your apps and workflows.
- [Aivoov](https://composio.dev/toolkits/aivoov) - Aivoov is an AI-powered text-to-speech platform offering 1,000+ voices in over 150 languages. Instantly turn written content into natural, human-like audio for any application.
- [All images ai](https://composio.dev/toolkits/all_images_ai) - All-Images.ai is an AI-powered image generation and management platform. It helps you create, search, and organize images effortlessly with advanced AI capabilities.
- [Anthropic administrator](https://composio.dev/toolkits/anthropic_administrator) - Anthropic administrator is an API for managing Anthropic organizational resources like members, workspaces, and API keys. It helps you automate admin tasks and streamline resource management across your Anthropic organization.
- [Api labz](https://composio.dev/toolkits/api_labz) - Api labz is a platform offering a suite of AI-driven APIs and workflow tools. It helps developers automate tasks and build smarter, more efficient applications.
- [Apiframe](https://composio.dev/toolkits/apiframe) - Apiframe is an API platform for generating and managing AI images, videos, music, uploads, assets, jobs, and custom LoRAs. It gives developers one clean API for creative AI workflows without juggling multiple model providers.
- [Apipie ai](https://composio.dev/toolkits/apipie_ai) - Apipie ai is an AI model aggregator offering a single API for accessing top AI models from multiple providers. It helps developers build cost-efficient, latency-optimized AI solutions without juggling multiple integrations.
- [Arize AX](https://composio.dev/toolkits/arize_ax) - Arize AX is an AI engineering platform for tracing, evaluating, and improving AI applications. Use it to debug LLM behavior, compare experiments, and improve production AI quality.
- [Artificial Analysis](https://composio.dev/toolkits/artificial_analysis) - Artificial Analysis is an independent benchmarking platform for AI models and API providers. Use it to compare model intelligence, coding, math, pricing, latency, throughput, and arena rankings.
- [AssemblyAI](https://composio.dev/toolkits/assemblyai) - AssemblyAI is a speech-to-text and audio intelligence API for uploaded or hosted media. Use it to turn audio and video into accurate transcripts, summaries, and insights.
- [Astica ai](https://composio.dev/toolkits/astica_ai) - Astica ai provides APIs for computer vision, NLP, and voice synthesis. Integrate advanced AI features into your app with a single API key.
- [Bigml](https://composio.dev/toolkits/bigml) - BigML is a machine learning platform that lets you build, train, and deploy predictive models from your data. Its intuitive interface and robust API make machine learning accessible and efficient.
- [Bland AI](https://composio.dev/toolkits/bland_ai) - Bland AI is a conversational AI platform for building voice agents, phone calls, messaging, and communication workflows. Use it to automate calling, evaluate conversations, and run voice operations at scale.
- [Botbaba](https://composio.dev/toolkits/botbaba) - Botbaba is a platform for building, managing, and deploying conversational AI chatbots across messaging channels. It streamlines chatbot automation, making it easier to integrate AI into customer interactions.
- [Botpress](https://composio.dev/toolkits/botpress) - Botpress is an open-source platform for building, deploying, and managing chatbots. It helps teams automate conversations and deliver rich, interactive messaging experiences.
- [Braintrust](https://composio.dev/toolkits/braintrust) - Braintrust is an AI engineering platform for prompts, datasets, experiments, evaluations, observability, and production AI apps. Use it to ship better AI systems with faster debugging, clearer evals, and tighter feedback loops.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Linkup MCP?

With a standalone Linkup MCP server, the agents and LLMs can only access a fixed set of Linkup tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Linkup and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with DeepSeek Harness?

Yes, you can. DeepSeek Harness fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Linkup tools.

### Can I manage the permissions and scopes for Linkup while using Tool Router?

Yes, absolutely. You can configure which Linkup scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Linkup data and credentials are handled as safely as possible.

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