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disler

Aider MCP Server

by disler
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    Related Servers

    • AiderMCP

      fuzemobi
      F
      license
      B
      quality
      D
      maintenance
      Enables AI-powered code editing and development tasks through natural language conversations with Claude, using Aider's capabilities for improving code, adding features, fixing bugs, refactoring, and checking status.
      5
      1
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    • Houtini LM

      Hayes57
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables Claude Code and other MCP clients to hand bounded work — code review, test stubs, commit messages, docs, format conversion, mock data, embeddings — to a local GPU model or a cheap cloud/OpenAI-compatible endpoint, so file contents are sent straight to that model instead of entering the main AI platform's context window. This cuts token spend dramatically while giving users a second model for reviewing code, with the orchestrating assistant still checking every result.
      MIT

    • Houtini LM

      NiklasNunes6682
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables Claude Code and other MCP clients to offload bounded work — code review, boilerplate, commit messages, format conversion, embeddings — to a local or cloud OpenAI-compatible LLM, cutting token spend by keeping large files out of the orchestrator's context. It also provides a second model for reviewing code and drafting tasks while the main assistant retains planning and QA.
      MIT

    • Houtini LM

      laylam6170
      F
      license
      Not graded
      quality
      A
      maintenance
      Enables Claude Code and other MCP clients to hand bounded work such as code review, boilerplate generation, commit messages, format conversion and embeddings to a local GPU model, LiteLLM router, OpenRouter, or cheaper cloud API like OpenAI, DeepSeek, Groq or Cerebras. Keeps the orchestrating model as architect and reviewer, cutting token spend and providing a second opinion on code.
      -
    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

    C2.9/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools have completely distinct purposes with no overlap: aider_ai_code performs AI coding tasks, while list_models provides information about available models. An agent can easily differentiate between them based on their clear, separate functions.

    Naming Consistency3/5

    The naming shows mixed conventions: aider_ai_code uses a descriptive compound name with underscores, while list_models follows a more standard verb_noun pattern. They are both readable but lack a unified naming style, indicating some inconsistency in the tool set.

    Tool Count2/5

    With only 2 tools, the server feels thin for an AI coding assistant domain. While aider_ai_code is a core tool, the lack of additional tools for tasks like file management, code review, or configuration limits the server's scope and utility, making the count too low for effective coverage.

    Completeness2/5

    The tool surface is severely incomplete for an AI coding assistant. It includes a primary coding tool and a model listing, but lacks essential operations such as file manipulation, code analysis, or session management. This creates significant gaps that will hinder agent workflows and lead to dead ends.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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