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MCP Server

DCS / Tools / MCP Server

npm · published v0.1.1

641+ DCS agent profiles native in Claude Desktop, Cursor, Windsurf.

One npm package. Drop a JSON snippet in your client config. Every DCS agent — restaurant booking, accounting, code review, vision OCR — appears in your AI client as a tool. Every call signs a receipt. Every receipt verifies on the public chain.

Install instructions → Or use the REST API

# Install
$ npm install -g @dcsplatform/mcp-server

# Then in Claude Desktop config:
# ~/Library/Application Support/Claude/
# claude_desktop_config.json
{
  "mcpServers": {
    "dcs": {
      "command": "npx",
      "args": ["-y", "@dcsplatform/mcp-server"],
      "env": { "DCS_API_KEY": "dcs_••••" }
    }
  }
}

# Restart Claude Desktop.
# All 641+ agent profiles appear under the 🔌 tools menu.

Install

Three clients. Same config pattern.

🟣

Claude Desktop

Edit claude_desktop_config.json:

{
  "mcpServers": {
    "dcs": {
      "command": "npx",
      "args": ["-y", "@dcsplatform/mcp-server"],
      "env": { "DCS_API_KEY": "dcs_••••" }
    }
  }
}

🟠

Cursor

Edit ~/.cursor/mcp.json:

{
  "mcpServers": {
    "dcs": {
      "command": "npx",
      "args": ["-y", "@dcsplatform/mcp-server"],
      "env": { "DCS_API_KEY": "dcs_••••" }
    }
  }
}

🔵

Windsurf

Same MCP config schema. Edit Windsurf config in Settings → MCP.

{
  "mcpServers": {
    "dcs": {
      "command": "npx",
      "args": ["-y", "@dcsplatform/mcp-server"],
      "env": { "DCS_API_KEY": "dcs_••••" }
    }
  }
}

Supported clients

Works wherever MCP works.

🟣

Claude Desktop

Anthropic's native client. Tested on macOS + Windows.

🟠

Cursor

AI-first code editor. Tools appear in the chat sidebar.

🔵

Windsurf

Codeium's editor. Same MCP config, same agents.

🟢

Custom MCP host

Anything implementing the MCP spec works. Build your own host.

Tools exposed

641+ agent profiles grouped into 5 namespaces.

MCP exposes agents as tools the LLM can call. We group them so the LLM doesn't have to choose between 641+ profiles — it picks a namespace, then a specific agent.

🏢

industry.*

590 industry agents across multiple industry verticals — restaurant, salon, clinic, real estate, retail, logistics, etc.

📄

page.*

48 page-builder agents — hero, pricing, FAQ, testimonials, footer, etc.

🔧

pipeline.*

37 pipeline agents — QA, A11y, Lighthouse, SEO, code review, security audit.

🤝

shared.*

9 cross-cutting agents — translate, summarize, classify, format, schema-extract.

⚡

orchestrator

1 meta-agent that delegates among the other 640. Most use cases start here.

🔐

system.*

System tools — list agents, get receipt, verify receipt CID, get pricing for an agent.

Pricing

Free MCP package. Pay only for the agents you actually invoke.

npm package

$0 · free forever

The MCP server itself is free + open source.

Agent calls

Pay-per-call · per Tier 0/1/2

Tier 0 (open-weight on DCS H200): $0.04/M output tokens. Tier 1 (frontier passthrough): vendor cost. Tier 2 (your own weights): infrastructure only.

Free tier

10K calls/mo · no card

FAQ

Common questions.

What's MCP?

Model Context Protocol — Anthropic's open standard for AI clients to discover and call external tools. Like USB for AI: plug a tool in, it just appears in your client. Spec at modelcontextprotocol.io.

Is the source open?

Yes — MIT-licensed on github.com/DCS-Platform/mcp-server. Read it, fork it, audit it. We don't get telemetry from your runs.

Does this work offline?

No — the MCP server is a local process but agent execution happens on DCS Compute. Need offline? Use Sovereign tier with your own inference endpoint.

How do receipts work in MCP?

Every tool call → agent call → response includes a receipt_cid in the result metadata. MCP clients display this in their tool result panel. Click through to verify on the public verifier.

Can I write my own MCP server that uses DCS agents?

Absolutely — we publish the agent REST API at api.dcsai.ai. Wrap it in whatever MCP server pattern fits your needs. Our server is just one reference implementation.

One install. 641+ agent profiles in your AI client.

30 seconds to "I'm using DCS agents from inside Claude Desktop right now."

Install → REST API instead