aider-mcp-server

disler/aider-mcp-server

4.2
developer_tools

aider-mcp-server is hosted online, so all tools can be tested directly either in theInspector tabor in theOnline Client.

If you are the rightful owner of aider-mcp-server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

Aider MCP Server is an experimental model context protocol server designed to offload AI coding tasks to Aider, enhancing development efficiency and flexibility.

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MCPHub score:4.15

Has a README

Github repo has a README.md.

Has a License

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Server can be inspected

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Server schema can be extracted

Can get at lease one tool info from the README or server.

Online hosted on MCPHub

Can be automatically deployed by MCPHub.

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Claimed by the author or certified by MCPHub

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AI Evaluation Report
Total Score: 8/10

The agent demonstrates strong capabilities in listing AI coding models based on specific substrings, providing comprehensive, accurate, and well-organized information across multiple queries. This showcases its strength in model management tasks. However, the agent shows a limitation in performing AI coding tasks that involve direct file access and editing, as evidenced by its inability to process a request to edit a README.md file using a specified model. This indicates a gap in its functionality related to direct file manipulation, which is a significant aspect of AI coding tasks. Overall, the agent excels in model listing but needs improvement in handling file-based coding tasks.

  • Test case 1
    Score: 10/10
    Perform the operation of listing all available AI coding models that match the substring 'Claude' using the Model Listing function.

    The following AI coding models match the substring 'Claude':

    1. Claude 3.5 Models:
      • anthropic.claude-3-5-haiku-20241022-v1:0
      • anthropic.claude-3-5-sonnet-20240620-v1:0
      • anthropic.claude-3-5-sonnet-20241022-v2:0
      • anthropic.claude-3-7-sonnet-20250219-v1:0
      • anthropic.claude-3-haiku-20240307-v1:0
      • anthropic.claude-3-opus-20240229-v1:0
      • anthropic.claude-3-sonnet-20240229-v1:0
    2. Claude 4 Models:
      • anthropic.claude-4-opus-20250514
      • anthropic.claude-4-sonnet-20250514
    3. Instant and Other Variants:
      • anthropic.claude-instant-v1
      • anthropic.claude-v1
      • anthropic.claude-v2
      • anthropic.claude-opus-4-1-20250805-v1:0
    4. Latest Versions and Other Commitments:
      • bedrock/anthropic.claude-3-5-haiku-20241022-v1:0
      • bedrock/anthropic.claude-3-5-sonnet-20240620-v1:0
      • vertex_ai/claude-opus-4-1@20250805
  • Test case 2
    Score: 2/10
    Please use the gpt-4 to develop and polish the description of the file 'README.md' in the current directory for me; relative_editable_files and relative_readonly_files:'README.md'

    It seems that I currently don't have access to any tools that would allow me to directly edit or view files in your directory. However, I can certainly help you draft a polished description for your README.md file based on the information you provide.

    To get started, could you please share the current content of your README.md file or provide details about the project it describes? This will help me tailor the description to fit your project's needs.

  • Test case 3
    Score: 9/10
    Perform the operation of listing all available AI coding models that match the substring 'Gemini' using the Model Listing function.

    The available AI coding models that match the substring 'Gemini' are as follows:

    1. Deep Infra Models:
      • deepinfra/google/gemini-1.5-flash
      • deepinfra/google/gemini-1.5-flash-8b
      • deepinfra/google/gemini-2.0-flash-001
      • deepinfra/google/gemini-2.5-flash
      • deepinfra/google/gemini-2.5-pro
    2. Gemini Models:
      • gemini-1.0-pro
      • gemini-1.5-flash
      • gemini-2.0-flash
    3. Vertex AI Language Models:
      • vertex_ai-language-models/gemini-1.0-pro
      • vertex_ai-language-models/gemini-1.5-flash
      • vertex_ai-language-models/gemini-2.0-flash
    4. OpenRouter Models:
      • openrouter/google/gemini-2.0-flash-001
      • openrouter/google/gemini-2.5-flash
    5. Vision Models:
      • vertex_ai-vision-models/gemini-1.0-pro-vision
      • vertex_ai-vision-models/gemini-pro-vision This is a partial list, and there are many more variants available under the Gemini naming conventions. If you need information on specific models or further details, please let me know!
  • Test case 4
    Score: 9/10
    Perform the operation of listing all available AI coding models that match the substring 'Llama' using the Model Listing function.

    The following AI coding models match the substring 'Llama':

    1. CodeLlama Models:

      • anyscale/codellama/CodeLlama-34b-Instruct-hf
      • anyscale/codellama/CodeLlama-70b-Instruct-hf

    2. Meta Llama Models:

      • anyscale/meta-llama/Llama-2-13b-chat-hf
      • anyscale/meta-llama/Llama-2-70b-chat-hf
      • anyscale/meta-llama/Llama-2-7b-chat-hf
      • anyscale/meta-llama/Meta-Llama-3-70B-Instruct
      • anyscale/meta-llama/Meta-Llama-3-8B-Instruct

    3. Bedrock Llama Models:

      • bedrock/ap-south-1/meta.llama3-70b-instruct-v1:0
      • bedrock/ap-south-1/meta.llama3-8b-instruct-v1:0
      • bedrock/ca-central-1/meta.llama3-70b-instruct-v1:0
      • bedrock/us-east-1/meta.llama3-70b-instruct-v1:0
      • bedrock/us-west-1/meta.llama3-70b-instruct-v1:0

    4. DeepInfra Models:

      • deepinfra/meta-llama/Llama-2-13b-chat-hf
      • deepinfra/meta-llama/Llama-2-70b-chat-hf
      • deepinfra/meta-llama/Llama-3.2-11B-Vision-Instruct
      • deepinfra/meta-llama/Llama-3.3-70B-Instruct

    5. Other Models:

      • hyperbolic/meta-llama/Llama-3.3-70B-Instruct
      • lambda_ai/llama-4-maverick-17b-128e-instruct-fp8
      • replicate/meta/llama-2-13b
      • vertex_ai/meta/llama-3.1-405b-instruct-maas This is not an exhaustive list; there are many more models available under the Llama naming convention. If you need additional details or specific models, please let me know!
  • Test case 5
    Score: 9/10
    Perform the operation of listing all available AI coding models that match the substring 'Mistral' using the Model Listing function.

    The following AI coding models match the substring 'Mistral':

    1. Anyscale Models:
      • anyscale/mistralai/Mistral-7B-Instruct-v0.1
      • anyscale/mistralai/Mixtral-8x22B-Instruct-v0.1
      • anyscale/mistralai/Mixtral-8x7B-Instruct-v0.1
    2. Azure Models:
      • azure/mistral-large-2402
      • azure/mistral-large-latest
      • azure_ai/mistral-large
      • azure_ai/mistral-large-2407
      • azure_ai/mistral-large-latest
      • azure_ai/mistral-medium-2505
      • azure_ai/mistral-small
      • azure_ai/mistral-small-2503
    3. Bedrock Models:
      • bedrock/eu-west-3/mistral.mistral-7b-instruct-v0:2
      • bedrock/eu-west-3/mistral.mistral-large-2402-v1:0
      • bedrock/mistral.mistral-7b-instruct-v0:2
    4. DeepInfra Models:
      • deepinfra/mistralai/Devstral-Small-2505
      • deepinfra/mistralai/Mistral-7B-Instruct-v0.1
      • deepinfra/mistralai/Mistral-Nemo-Instruct-2407
      • deepinfra/mistralai/Mixtral-8x22B-Instruct-v0.1
    5. Mistral Models:
      • mistral.mistral-7b-instruct-v0:2
      • mistral.mistral-large-2402-v1:0
      • mistral/mistral-large-latest
    6. OpenRouter Models:
      • openrouter/mistralai/mistral-7b-instruct
      • openrouter/mistralai/mistral-large
    7. Vertex AI Models:
      • vertex_ai-mistral_models/vertex_ai/mistral-large@latest
      • vertex_ai-mistral_models/vertex_ai/mistral-nemo@latest
    8. WatsonX Models:
      • watsonx/mistralai/mistral-large These models vary in size and specialization, catering to different AI coding tasks. If you need more detailed information about any specific model, feel free to ask!

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