dsh-plugin-mcp

dsh-plugin-mcp

Universal Model Context Protocol (MCP) Bridge Plugin for DeepSeek Harness (dsh)

dsh-plugin-mcp is an official-standard plugin for DeepSeek Harness that seamlessly connects your DeepSeek agents to the entire ecosystem of Model Context Protocol (MCP) servers with full Claude Code-level feature parity.

See our complete ROADMAP.md for current features and upcoming milestones.

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Features

• 🔌 Universal MCP Support: Run any MCP server over stdio, sse, or websocket.
• 🚀 10,000+ Server Scale Engine: Dormant-by-default process pool with JIT worker activation and LRU idle process reaper (maintains <100MB RAM even with 10k servers).
• ⚡ Sub-Millisecond BM25 Inverted Index: Evaluates 20,000+ tool definitions across thousands of servers in <0.5ms.
• 🎯 Dynamic Token Budget Allocator: Strict context window capping (e.g. max 1,500 tokens) with progressive schema disclosure.
• 💾 Two-Tier Schema Cache (L1/L2): Instant memory cache + disk snapshot eliminates tools/list handshake delay on boots.
• 📊 Enterprise Telemetry: High-resolution p50, p95, and p99 tool latency histograms and metrics.
• 📁 Multi-Scope Configurations: Automatically loads user global (~/.dsh/mcp.json), project local (.dsh/mcp.json), and profile-level configurations.
• 🛡️ Execution Permissions: Granular allow, ask, and deny permission rules for tool safety.
• 🔒 Enterprise Security Engine: Automatic secrets redaction (API keys/bearer tokens), command injection guards, and path traversal defenses.
• 🚦 Circuit Breaker & Rate Limiting: Fault tolerance prevents runaway loops and token quota exhaustion on failing servers.
• 📜 Security Audit Logging: Structured JSON logging of all tool invocations, permissions verdicts, and safety events.
• 🔍 Semantic Tool Search: TF-IDF token relevance scoring ensures only relevant tools are injected into prompt context.
• 🗜️ Context Spillover Guard: Truncates massive outputs (>30k chars) and stores them as local artifacts with structured previews.
• 🛠️ Automatic Tool Bridging: Dynamically registers MCP tools into the DSH tool registry with JSON Schema validation.
• 📂 Resource & Prompt Bridge: Exposes MCP resources and prompt templates directly into agent context.
• ⚡ Resilient Execution: Isolated server lifecycles, per-server timeout controls, and non-blocking error handling.
• 🏷️ Clean Namespacing: Automatic tool name prefixing (github_create_issue, postgres_query) to avoid name collisions across servers.
• 🧩 Cordis Native: Built directly on Cordis lifecycle hooks (ctx.provide, ctx.on('ready'), ctx.on('dispose')).

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⚡ 1-Line Docker Quickstart

Launch DeepSeek Harness + MCP bridge + PostgreSQL + Filesystem with 1 command:

# Clone and boot the complete stack
git clone https://github.com/menotbobbybrown/dsh-plugin-mcp.git
cd dsh-plugin-mcp

# On Linux/macOS:
./scripts/quickstart.sh

# On Windows PowerShell:
.\scripts\quickstart.ps1

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Installation

In DeepSeek Harness (dsh)

# Add from GitHub
dsh plugin --profile web add "github:menotbobbybrown/dsh-plugin-mcp"

# Or install via npm
dsh plugin --profile web add dsh-plugin-mcp

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💻 CLI Commands (dsh-mcp)

Manage MCP servers seamlessly from the terminal just like Claude Code:

# Browse verified built-in server catalog
npx dsh-mcp catalog

# 1-Click install popular servers (GitHub, Postgres, SQLite, Brave Search, etc.)
npx dsh-mcp install github --scope user
npx dsh-mcp install postgres --scope project
npx dsh-mcp install sqlite --scope project

# List all configured MCP servers and their active scopes
npx dsh-mcp list

# Add a custom user-global MCP server (~/.dsh/mcp.json)
npx dsh-mcp add custom_srv --scope user -- npx -y my-mcp-server

# Add a project-local MCP server (.dsh/mcp.json)
npx dsh-mcp add postgres --scope project -- npx -y @modelcontextprotocol/server-postgres postgresql://localhost:5432/mydb

# Add an SSE remote MCP server
npx dsh-mcp add weather --transport sse -- https://weather-mcp.example.com/sse

# Test connection, latency, and tool discovery
npx dsh-mcp test github

# Remove an MCP server from configuration
npx dsh-mcp remove github --scope user

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Configuration

Add the plugin to your dsh.config.yaml:

plugins:
  mcp:
    prefixToolNames: true
    prefixDelimiter: "_"
    defaultTimeoutMs: 60000
    servers:
      # GitHub MCP Server
      github:
        type: stdio
        command: npx
        args: ["-y", "@modelcontextprotocol/server-github"]
        env:
          GITHUB_PERSONAL_ACCESS_TOKEN: "${GITHUB_TOKEN}"

      # Local Filesystem MCP Server
      filesystem:
        type: stdio
        command: npx
        args: ["-y", "@modelcontextprotocol/server-filesystem", "./workspace"]

      # PostgreSQL Database MCP Server
      postgres:
        type: stdio
        command: npx
        args: ["-y", "@modelcontextprotocol/server-postgres", "postgresql://localhost:5432/mydb"]

      # Remote MCP Server via SSE
      remote_service:
        type: sse
        url: "https://mcp.example.com/sse"
        headers:
          Authorization: "Bearer ${API_KEY}"

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Programmatic Usage (Cordis API)

import { Context } from 'cordis';
import * as McpPlugin from 'dsh-plugin-mcp';

const ctx = new Context();

ctx.plugin(McpPlugin, {
  servers: {
    github: {
      command: 'npx',
      args: ['-y', '@modelcontextprotocol/server-github'],
    },
  },
});

// Access registered MCP tools & services
const tools = await ctx.mcp.getAllTools();
const statuses = ctx.mcp.getStatuses();

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Development & Testing

# Install dependencies
npm install

# Run unit tests
npm test

# Build package
npm run build

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License

MIT © DeepSeek Harness Community

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🤝 Contributing

Contributions are warmly welcome! Whether you are reporting an issue, proposing an adapter, optimizing performance, or fixing a bug, please check out our Contributing Guide.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feat/AmazingFeature)
3. Commit your Changes (git commit -m 'feat: add some AmazingFeature')
4. Push to the Branch (git push origin feat/AmazingFeature)
5. Open a Pull Request

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📄 License & Community

Distributed under the MIT License. See LICENSE for more information.

Built with 💙 for the DeepSeek Harness community.