Code Analysis MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| initialize_repositoryC | Initialize the repository path for future code analysis operations. |
| get_repo_infoB | Get information about the currently initialized code repository. |
| get_repo_structureB | Get the structure of files and directories in the repository. |
| read_fileB | Read and display the contents of a file from the repository. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| analyze_code_repository | Analyze a code repository at the specified path. Args: codebase_path: Absolute path to the code repository |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose: initialize_repository sets up the context, get_repo_info provides metadata, get_repo_structure shows the file hierarchy, and read_file accesses file contents. There is no overlap in functionality, making tool selection straightforward for an agent.
All tools follow a consistent verb_noun pattern (e.g., initialize_repository, get_repo_info, get_repo_structure, read_file). The naming is uniform and predictable, using snake_case throughout with clear action descriptors.
With 4 tools, the count is reasonable for a code analysis server, covering core operations like initialization, metadata retrieval, structure viewing, and file reading. However, it feels slightly thin, as advanced analysis features (e.g., linting, dependency checks) are absent, though not essential for basic functionality.
The toolset covers basic repository operations (initialize, info, structure, read), but there are notable gaps for a code analysis domain, such as missing tools for analyzing code quality (e.g., lint, test), searching within files, or modifying content. Agents can perform foundational tasks but may hit dead ends for deeper analysis.