DotnetTemplateMCP

DotnetTemplateMCP

MCP server wrapping the .NET Template Engine for AI-driven template discovery, inspection, and instantiation

Category
Visit Server

README

Microsoft.TemplateEngine.MCP

<!-- mcp-name: io.github.YuliiaKovalova/dotnet-template-mcp -->

An MCP server that lets AI agents work with dotnet new templates — search, inspect, preview, and create projects through natural conversation instead of memorizing CLI flags.

<a href="https://glama.ai/mcp/servers/@YuliiaKovalova/dotnet-template-mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@YuliiaKovalova/dotnet-template-mcp/badge" alt="DotnetTemplateMCP MCP server" /> </a>

Instead of this:

dotnet new list --language C#
dotnet new webapi --help
dotnet new webapi --auth Individual --use-controllers --name MyApi --output ./MyApi

Your AI agent just says: "I need a web API with authentication and controllers" — and the MCP server figures out the rest.

Template Validation for Authors

Building a custom dotnet new template? template_validate catches mistakes before you publish — no more guessing if your template.json is correct:

Agent calls: template_validate("./my-template")

← Returns:
{
  "valid": false,
  "summary": "2 error(s), 1 warning(s), 3 suggestion(s)",
  "errors": [
    "Missing required field 'shortName'.",
    "Parameter 'Framework': default value 'net7.0' is not in the choices list."
  ],
  "warnings": [
    "Missing 'sourceName'. Without it, the generated project name won't be customizable via --name."
  ],
  "suggestions": [
    "Consider adding a 'description' field to help users understand what this template creates.",
    "Consider adding 'language' tag (e.g., 'C#') for better discoverability.",
    "Consider adding 'type' tag (e.g., 'project', 'item') for filtering."
  ]
}

What it catches: missing required fields, invalid identity format, short name conflicts with CLI commands, parameter issues (missing defaults, empty choices, prefix collisions, type mismatches), broken computed symbols, constraint misconfiguration, and missing tags.

No existing tooling does this — most template authors discover issues only after dotnet new install fails or produces wrong output.

Tools

Tool What it does
template_search Search locally and on NuGet.org — one call, ranked results
template_list List what's installed, filter by language/type/classification
template_inspect Parameters, constraints, post-actions — all in one shot
template_instantiate Create a project. Not installed? Auto-resolves from NuGet. Elicits missing params interactively
template_dry_run Preview files without touching disk
template_install Install a package (idempotent — skips if already there)
template_uninstall Remove a template package
templates_installed Inventory of everything installed
template_from_intent "web API with auth" → webapi + auth=Individual — no LLM needed
template_create_from_existing Analyze a .csproj → generate a reusable template matching repo conventions
template_compose Execute a sequence of templates (project + items) in one workflow
template_suggest_parameters Suggest parameter values with rationale based on cross-parameter relationships
template_validate Validate a local template directory for authoring issues before publishing
solution_analyze Analyze a solution/workspace — project structure, frameworks, CPM status

📖 Full tool reference →

Quick Start

Global tool (.NET 8+)

dotnet tool install --global DotnetTemplateMCP --version 1.2.0

Zero-install with dnx (.NET 10+)

dnx -y DotnetTemplateMCP --version 1.2.0

VS Code / GitHub Copilot

Add to mcp.json:

{
  "servers": {
    "dotnet-templates": {
      "type": "stdio",
      "command": "dnx",
      "args": ["-y", "DotnetTemplateMCP", "--version", "1.2.0"]
    }
  }
}

📖 Claude Desktop, Cursor, and more →

Transport Modes

Stdio (default)

Standard I/O transport for local CLI and tool usage:

template-engine-mcp                     # stdio is the default
template-engine-mcp --transport stdio   # explicit

HTTP (remote / cloud / team-shared)

Streamable HTTP transport for remote, multi-tenant, or CI/CD deployment:

template-engine-mcp --transport http
# or via environment variable:
MCP_TEMPLATE_TRANSPORT=http template-engine-mcp

The HTTP server exposes:

  • /mcp — MCP streamable HTTP endpoint
  • /health — Health check endpoint

Configure the listen URL:

MCP_TEMPLATE_HTTP_URL=http://0.0.0.0:8080 template-engine-mcp --transport http

Connect your MCP client:

{
  "servers": {
    "dotnet-templates": {
      "type": "http",
      "url": "http://localhost:5005/mcp"
    }
  }
}

Interactive Elicitation

When a template has required parameters that weren't provided, the server asks the user interactively via MCP elicitation — instead of failing. Template parameter types are mapped to form fields:

Template Parameter Elicitation Field
string Text input
bool / boolean Checkbox
int / number Number input
Choice parameter Single-select dropdown

Disable with MCP_TEMPLATE_ELICITATION=false.

How it works

You: "I need a web API with authentication, controllers, and Docker support"

→ template_from_intent extracts keywords: web api, authentication, controllers, docker
→ Matches: webapi (confidence: 0.85)
→ Resolves: auth=Individual, UseControllers=true, EnableDocker=true
→ template_instantiate creates the project

The server also does smart defaults (AOT → latest framework, auth → HTTPS stays on), parameter validation before writing files, constraint checking (OS, SDK, workload), interactive elicitation of missing required parameters, and auto-resolves templates from NuGet if they're not installed.

CPM & Latest Package Versions

When creating a project inside a solution that uses Central Package Management, the server automatically:

  1. Detects Directory.Packages.props by walking up the directory tree
  2. Strips Version attributes from generated .csproj PackageReferences
  3. Adds missing <PackageVersion> entries to Directory.Packages.props
  4. Resolves latest stable NuGet versions — no more stale hardcoded versions from templates
Before (what dotnet new generates):
  <PackageReference Include="Serilog" Version="3.1.0" />    ← stale, breaks CPM

After (what template_instantiate produces):
  .csproj:                    <PackageReference Include="Serilog" />
  Directory.Packages.props:   <PackageVersion Include="Serilog" Version="4.2.0" />

Works for standalone projects too — versions are updated directly in the .csproj.

Multi-Template Composition

Chain multiple templates in one call with template_compose:

[
  {"templateName": "webapi", "name": "MyApi", "parametersJson": "{\"auth\": \"Individual\"}"},
  {"templateName": "gitignore", "target": "."}
]

📖 Architecture & smart behaviors →

Tool Profiles (Lite vs Full)

By default, all 13 tools are available. If your agent works better with fewer tools, set the MCP_TEMPLATE_TOOL_PROFILE environment variable:

Profile Tools When to use
full (default) All 13 tools Full control — advanced workflows, composition, custom templates
lite 5 core tools Simpler agents that just need to find and create projects

Lite profile tools: template_from_intent, template_instantiate, template_inspect, template_search, template_dry_run

{
  "servers": {
    "dotnet-template-mcp": {
      "command": "dotnet-template-mcp",
      "env": {
        "MCP_TEMPLATE_TOOL_PROFILE": "lite"
      }
    }
  }
}

Non-lite tools will return a helpful message explaining they're disabled and how to enable them.

Documentation

Doc What's in it
Configuration VS Code, Claude Desktop, Cursor setup + troubleshooting
Tool Reference Every tool's parameters, types, and examples
Architecture Template cache, smart behaviors, telemetry, project structure
MCP vs Skills Why MCP over Copilot Skills — benefits and downsides
Plain LLM vs MCP Side-by-side: what a plain LLM does vs. the MCP tool (4 scenarios)
Skills Equivalent What it'd take to cover this with Skills instead

Building & Testing

dotnet build
dotnet test    # 185+ tests — unit, integration, and E2E

CI runs on push/PR via GitHub Actions (Ubuntu + Windows).

Contributing

Contributions are welcome! Please open an issue to discuss proposed changes before submitting a PR.

# Setup
dotnet restore
dotnet build

# Run tests
dotnet test

# Pack locally
dotnet pack src/Microsoft.TemplateEngine.MCP -o nupkg/

Changelog

See CHANGELOG.md for release history.

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured