Skip to main content
Glama
disler

Aider MCP Server

by disler
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to Aider MCP Server

No user-submitted related servers found.

    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
      -

    • localagents

      ccebelenski
      A
      license
      A
      quality
      C
      maintenance
      Enables Claude Code to delegate agent tasks to local LLMs via llama.cpp or vLLM servers on your own hardware, reducing API usage while maintaining full agent capabilities.
      11
      10
      MIT

    • claude-token-saver-mcp

      BlackFoil
      A
      license
      A
      quality
      C
      maintenance
      Enables Claude Code to offload routine code generation and text processing tasks to a local Ollama LLM, saving Cloud API tokens and costs with automatic model selection and security features.
      11
      35 npm
      4
      Apache 2.0

    • Ollama MCP Server

      Jadael
      A
      license
      Not graded
      quality
      D
      maintenance
      Enables Claude to delegate coding tasks to local Ollama models, reducing API token usage by up to 98.75% while leveraging local compute resources. Supports code generation, review, refactoring, and file analysis with Claude providing oversight and quality assurance.
      407 npm
      24
      AGPL 3.0
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    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
    ResponsivenessUnresponsive

    Resources