Skip to main content
Glama
victor-velazquez-ai

Enterprise MCP Template

Related Servers

Alternatives to Enterprise MCP Template

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      A production-ready MCP server template that connects LLMs and AI agents to external data, tools, and services with built-in OAuth 2.1 authentication, Redis-backed session management, and a modular tools engine.
      1
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Easiest framework for building MCP servers with automatic discovery of tools, prompts, and resources, plus enterprise-grade authentication and telemetry.
      142 PyPI
      840
      Apache 2.0
    • A
      license
      A
      quality
      C
      maintenance
      A production-ready foundation for building secure, observable MCP servers with built-in authentication, rate limiting, and reference tools like database-query and semantic-search.
      15
      42 npm
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      A professional Python framework and template for building robust Model Context Protocol (MCP) servers with modular architecture, enterprise features like authentication and rate limiting, and comprehensive tooling. Provides easy-to-use APIs for registering tools, resources, and prompts with full type safety and multiple transport support.
      4
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      A production-style MCP server exposing six business tools (web search, database, CRM, email, calendar, analytics) to AI clients via a secure, authenticated interface, with mock mode and a reference agent client.
      MIT

    TDQS

    A3.5/5.0

    Scored across 8 tools

    Disambiguation5/5

    Every tool has a clearly distinct purpose with no ambiguity. The CRUD operations (create_record, get_record, update_record, delete_record) are well-separated from query execution (execute_query), schema retrieval (get_record_schema), and health checks (health, ping). The descriptions clearly differentiate each tool's function, making misselection unlikely.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with snake_case throughout. The naming is predictable and readable, with verbs like create, delete, execute, get, and update paired with appropriate nouns like record, query, schema, or simple actions like ping/health.

    Tool Count5/5

    The 8 tools are well-scoped for an enterprise API template server. This includes complete CRUD operations, query execution, schema retrieval, and health checks, which is appropriate for interfacing with various upstream APIs. Each tool earns its place without feeling excessive or insufficient.

    Completeness5/5

    The tool surface provides complete CRUD/lifecycle coverage for record management (create, get, update, delete), plus essential utilities like query execution, schema documentation, and health checks. There are no obvious gaps for the server's purpose of interacting with enterprise APIs, and agents can perform all expected operations without dead ends.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues