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Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 3:17:10 PM

MCP Server Templates

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View Repository21 GitHub StarsTotal stargazers on GitHub for the source repository (21 stars).Visit Website
mcpdeveloper-toolsdockertemplatesdeployment

Legacy Python CLI for deploying and managing MCP server templates through Docker or a mock backend.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

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We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "data-everything-mcp-server-templates": {
      "command": "uvx",
      "args": [
        "mcp-platform"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ”— More in Aggregators

Overview

Data-Everything/mcp-server-templates MCP server is a legacy Python CLI and template system for deploying MCP servers with Docker-backed or mock backends. It discovers templates, applies configuration from files, CLI options, and environment variables, then exposes deployed servers over supported transports such as HTTP or stdio. Available templates include demo, filesystem, GitHub, GitLab, and Zendesk integrations. Reach for it when you need a repeatable local deployment workflow, but use MCP Platform for current development because this repository is in maintenance mode.

Use cases

β€’Deploy a demo MCP server for testing
β€’Manage local MCP deployments with a CLI
β€’Configure filesystem, GitHub, GitLab, or Zendesk templates
β€’Create and test custom MCP server templates

Key features

β€’Template discovery and deployment
β€’Docker and mock deployment backends
β€’HTTP and stdio transport support
β€’JSON, YAML, CLI, and environment configuration
β€’Deployment logs and lifecycle commands
β€’Six-hour template caching

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Server Templates.

Extracted Tool Capabilities
Template discovery and deployment
Docker and mock deployment backends
HTTP and stdio transport support
JSON, YAML, CLI, and environment configuration
Deployment logs and lifecycle commands
Six-hour template caching

How MCP Server Templates works

What Data-Everything/mcp-server-templates MCP server does

Data-Everything/mcp-server-templates MCP server packages a collection of deployable MCP server templates behind the mcpt command. The legacy project is intended to reduce the setup work involved in running MCP servers: users select a template, provide configuration, and let the deployment manager start the selected backend.

The repository lists templates for a demo server, secure filesystem operations, GitHub, GitLab, and Zendesk. Their documented transports vary: the demo and Zendesk templates support HTTP and stdio, while the filesystem, GitHub, and GitLab entries use stdio. The project is therefore a deployment layer and template catalog, rather than one fixed application-specific API server.

How it works

The CLI passes a selected template through a deployment manager, which uses a backend such as Docker to create a container instance. A mock backend is also documented for local template testing. Template discovery identifies available definitions and can display the tools exposed by a deployed server.

Configuration is applied in a defined sequence: template defaults, configuration files, CLI options, and environment variables. JSON and YAML configuration are supported, and nested values can be overridden from the command line. The project also documents a six-hour template cache with automatic invalidation.

Typical lifecycle commands include:

  • mcpt list to view templates
  • mcpt deploy demo to start a deployment
  • mcpt logs demo to inspect output
  • mcpt stop demo to stop a deployment
  • mcpt create my-template to generate a template scaffold

Setup and configuration

The legacy package is installed from PyPI with pip install mcp-templates. A Docker image is also documented, and source installation uses the repository requirements file. The quick-start flow lists templates, deploys the demo template, and then shows its logs; the example endpoint is http://localhost:8080.

Template-specific values can be supplied with repeated --config options, a JSON configuration file, or --override values. For example, the filesystem template accepts an allowed directory, while the GitLab example uses a token, a read-only setting, and a selected transport. Sensitive settings can be mapped to environment variables through a template configuration schema.

Tools and capabilities

Data-Everything/mcp-server-templates MCP server provides operational capabilities through its CLI rather than presenting one documented, fixed tool list. Supported workflows include template discovery, deployment, log viewing, stopping deployments, configuration overrides, and template generation. The project also describes automatic tool discovery for deployed servers and supports HTTP or stdio where the selected template declares those transports.

Developers can create a template with mcpt create, define its metadata and configuration schema, and test it with the mock backend. Template definitions can specify a Docker image, default and supported transports, configuration properties, environment mappings, and sensitive fields.

Limitations and notes

Data-Everything/mcp-server-templates MCP server has been renamed and moved to MCP Platform. The repository identifies the old package and mcpt command as legacy, with maintenance-mode status and security updates described only through 2025. The documented migration replaces mcp-templates with mcp-platform and mcpt with mcpp; existing configurations and deployment workflows are stated to remain compatible.

The supplied material does not document direct compatibility with specific MCP desktop clients, authentication for the deployment CLI, or a complete inventory of all templates. Docker deployment may require Docker-specific host permissions, while the mock backend is intended for testing rather than normal deployment.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
21
Stargazers on the source repository.
Last commit
1y ago
Most recent push to the default branch.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about MCP Server Templates

Install the legacy package with `pip install mcp-templates`. The repository recommends migrating to `mcp-platform` instead.

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Technical Specs & Signals

CategoryπŸ”—Aggregators
PricingFree
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimePython
AuthNo auth required
LicenseElastic-2.0
Last updatedSep 7, 2026
10/10 checks healthy over the last 32d
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars21
GitHub Star CountTotal stargazers on GitHub representing community popularity (21 stars).
Last commit1y ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 29, 2025
47Quality signal: Fair Β· 47/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools23/30
Adoption & activity2/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 20d ago via OSV.dev Β· mcp-platform (PyPI)

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AllMCPs Server

The official MCP server for AllMCPs.com - submit and manage tools directly from your AI. The open directory for MCP servers. Connect Claude, Cursor, Windsurf, and AI agents to databases, tools, files, and APIs. Explore 10,000+ servers. AllMCPs is the premier, open directory for discovering, evaluating, and installing Model Context Protocol (MCP) servers to equip AI agents and LLMs with real-world superpowers.

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