Skip to main content
Glama
remiehneppo

Code Generator MCP Server

by remiehneppo
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

Related Servers

Alternatives to Code Generator MCP Server

No user-submitted related servers found.

    Related Servers

    • serena

      Areo-RGB
      A
      license
      Not graded
      quality
      B
      maintenance
      Provides IDE-like coding capabilities for AI agents via MCP, enabling semantic code retrieval, symbol-level editing, refactoring, and navigation across many programming languages.
      MIT

    • mcp-library-builder

      linga009
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables automatically generating standalone MCP servers from any Python library, exposing its functions as deterministic callable tools.
      MIT

    • opencode-mcp-bridge

      nmt3325
      A
      license
      Not graded
      quality
      B
      maintenance
      Exposes opencode's coding agent and shell as MCP tools, enabling MCP-only AI clients to execute shell commands, manage files, and run agent sessions with async job handling.
      14 npm
      1
      MIT

    • apcore-mcp

      aiperceivable
      A
      license
      Not graded
      quality
      A
      maintenance
      Automatic MCP Server & OpenAI Tools Bridge for apcore. Converts apcore module registries into MCP tool definitions and OpenAI-compatible function calling formats with zero boilerplate.
      320 npm
      1
      Apache 2.0
    Deploy Server
    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    B3.4/5.0

    Scored across 5 tools

    Disambiguation4/5

    The four generate_* tools map to distinct templates/scenarios (standard function, codebase-aware function, bugfix/refactor, multi-function module), so an agent can usually pick correctly. However, generate_standard_function and generate_codebase_context both produce a single function and differ only by whether codebase context is used, which could cause occasional misselection.

    Naming Consistency5/5

    All names use snake_case with a consistent verb_noun pattern (generate_* plus run_project_tests). The generate_* family is predictable and self-describing.

    Tool Count5/5

    Five tools is well-scoped for a code-generation server: four generation templates plus a test runner, each earning its place. No redundant or filler tools.

    Completeness4/5

    The surface covers code generation across common scenarios and test execution/verification, with test suites co-generated. Minor gaps exist around applying/writing generated code back to disk or editing existing files, but core workflows are covered.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources