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rafim-dev

Smart Git MCP Server & CLI

Server Quality Checklist

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  • Latest release: v0.1.0

  • Disambiguation5/5

    Each tool has a clearly distinct purpose: status, commit generation, review, conflict resolution, and changelog generation. No overlapping functionality or ambiguity between tool names.

    Naming Consistency4/5

    All tools share the git_ prefix, but naming patterns mix noun-style (git_status) and verb-style (git_smart_commit, git_review_diff). Consistent enough, with minor variation in the second component.

    Tool Count5/5

    Five tools is a well-scoped set for a Git-focused MCP server, covering distinct high-value operations without redundancy or bloat.

    Completeness4/5

    The toolset covers core Git workflow needs—status, commit, review, conflict resolution, and changelog generation. It lacks explicit staging/diffing commands, but the focus on AI-assisted Git operations makes the coverage appropriate.

  • Average 3.7/5 across 5 of 5 tools scored.

    See the Tool Scores section below for per-tool breakdowns.

    • No community issues in the last 6 months
    • 1 commit in the last 12 weeks
    • No stable releases found
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI status not available
  • This repository is licensed under MIT License.

  • This repository includes a README.md file.

  • No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.

    Tip: use the "Try in Browser" feature on the server page to seed initial usage.

  • This repository includes a glama.json configuration file.

  • This server has been verified by its author.

  • Add related servers to improve discoverability.

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Servers are automatically synced at least once per day, but you can also sync manually at any time to instantly update the server profile.

To manually sync the server, click the "Sync Server" button in the MCP server admin interface.

How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

Tool Scores

  • Behavior3/5

    Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

    No annotations are provided, so the description must carry the full burden. It states it 'generates' notes, implying a read-only operation, but does not explicitly clarify side effects (e.g., no modifications to the repo). This is adequate but not fully transparent.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness5/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    The description is a single, succinct sentence with no redundant words. It directly conveys the core purpose and output format without unnecessary elaboration.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness4/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    Given the lack of an output schema and annotations, the description provides sufficient context about what the tool produces (structured markdown categorized by type). It could mention dependencies on commit message conventions, but overall it is complete enough for basic usage.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters3/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    All parameters have descriptions in the schema, including defaults for toRef and maxCommits. The descriptions are clear enough for usage, though they do not add extra context beyond what the names and default values imply.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose5/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description uses a specific verb 'generate' and clearly identifies the resource (release notes/changelog). It distinguishes the tool from siblings like git_status and git_review_diff, which serve different purposes.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines2/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    The description does not explicitly state when to use this tool versus alternatives or mention any preconditions (e.g., requiring a git repository). It only describes the action without guidance on selection.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

  • Behavior2/5

    Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

    There are no annotations, so the description must carry the full burden of behavioral transparency. It describes the core action (review and scan) but does not disclose potential side effects such as whether it modifies files, requires network access, or creates any artifacts. The read-only nature is assumed but not stated.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness5/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    The description is concise, consisting of two sentences that efficiently convey the tool's purpose and scope. It avoids redundancy or unnecessary detail, making it easy to parse quickly.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness4/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    For a simple tool with three parameters and no output schema, the description provides sufficient context for an agent to understand what it does and when to use it. It could mention the format of the review output (e.g., a report or comments), but this is not essential given the lack of an output schema.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters3/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    The schema already provides thorough descriptions for all three parameters (cwd, stagedOnly, targetBranch), covering their meanings and default behaviors. The tool description adds no additional parameter semantics beyond that, so it earns the baseline score for full schema coverage.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose5/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description clearly states the tool's function: 'Perform an automated AI code review on git diff.' It identifies the specific resource (git diff) and the types of issues it scans for (security leaks, dangerous calls, code smells, missing tests). This distinguishes it from sibling tools like git_status or git_smart_commit.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines3/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    The description implies the tool is for reviewing changes, but it does not explicitly state when to use it versus alternatives. Since sibling tools have clearly different purposes (status, commit, resolve, changelog), the usage context is somewhat implied, but no direct guidance or exclusion is provided.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

  • Behavior3/5

    Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

    No annotations are provided, so the description carries the full burden. It says 'scan' and 'provide ... options', which suggests a non-mutating read operation, but it does not explicitly state that no files are modified, whether staging is affected, or what happens if no conflicts are found.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness5/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    The description is a single sentence that immediately communicates the purpose and outcome. There is no filler or repetitive content; every phrase earns its place.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness3/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    The tool is simple and the one parameter is well-covered by the schema, but with no output schema and no annotations, the description does not explain the form of the resolution options, behavior when no conflicts are found, or whether the tool changes the repository. It gives a general sense but not full completeness.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters3/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    Schema description coverage is 100% for the single 'cwd' parameter, which is already described as 'Target repository directory path'. The description itself adds no extra meaning, but with full schema coverage, a baseline of 3 is appropriate.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose5/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description clearly states a specific action ('Scan the repository'), a specific target ('merge conflict markers') and what it produces ('synthesized resolution options'). It is readily distinguishable from sibling tools like git_status, git_smart_commit, git_review_diff, and git_release_changelog.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines3/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    The description implies usage when merge conflict markers exist, but it does not explicitly state when to use it versus alternatives, nor does it mention any prerequisites or when not to use it. The context is adequate but purely implied.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

  • Behavior3/5

    Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

    No annotations are provided, so the description alone carries the behavioral burden. It discloses the core analysis-to-generation flow and the staged/current distinction via 'staged or current git diff.' However, given the tool is named 'commit,' it never explicitly states it does NOT create or mutate a commit — an agent could wrongly expect repo writes. The verb 'generate' implies non-mutation but leaves the safety profile ambiguous.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness5/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    A single sentence with zero filler, front-loaded with the action verb and resource, and the output details packed efficiently at the end. Every clause earns its place.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness3/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    With no output schema, the description must convey what is returned — it does say a 'message' is generated, which covers that. But it leaves gaps: no clarity on whether the tool mutates the repo, no detail on the message's format/surface, and no statement of prerequisites (e.g., an existing commit history for generating scope). Adequate for a 2-param tool, but the mutation ambiguity is a real omission.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters3/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    Schema description coverage is 100%: cwd is 'Target repository directory path' and stagedOnly is fully explained with conditional behavior. The description adds only marginal value by echoing 'staged or current,' which maps to stagedOnly. With the schema doing the heavy lifting, baseline 3 applies.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose5/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    States a specific verb (Analyze), resource (git diff), and concrete output (Conventional Commit message with scope, rationale, breaking change warnings). This clearly differentiates it from siblings: git_status reports state, git_review_diff reviews diffs, git_resolve_conflicts resolves conflicts, git_release_changelog produces changelogs. An agent can distinguish it without opening any schema.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines3/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    The intended use (generate a commit message from a diff) is implied strongly by the purpose statement, but there is no explicit guidance on when NOT to use it or which sibling to prefer. For instance, it never says 'use git_review_diff when you want analysis rather than a message.' The usage window is inferable, not stated — acceptable but not excellent.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

  • Behavior3/5

    Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

    There are no annotations (e.g., readOnlyHint or destructiveHint) to disclose behavior. The description is neutral and does not explicitly state that the operation is non-mutating or that it does not have side effects. While 'status' implies a read-only operation, the description alone does not fully disclose behavioral traits beyond what is obvious from the tool name.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness5/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    The description is a single, concise sentence that directly states what the tool does without any redundant phrasing or unrelated details. It is well-structured and easy to parse.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness5/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    Given the tool's simplicity (one optional parameter, no output schema), the description is sufficiently complete. It names the input (cwd) and the output characteristics (structured status including staged, unstaged, untracked files, and active branch). There is no missing context that would prevent an agent from using the tool correctly.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters5/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    The only parameter, cwd, is clearly described as 'Target repository directory path' with a default behavior ('defaults to current working directory'). This fully explains its purpose and expected value, providing complete semantic meaning without ambiguity.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose5/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description clearly states the action (Get) and the resource (status of current repository), and specifies the included details (staged, unstaged, untracked files and active branch). This makes the tool's purpose unambiguous and distinct from the sibling tools (e.g., git_smart_commit, git_review_diff), which have different actions.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines2/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    The description does not provide any guidance on when to use this tool versus alternatives. For example, it does not mention that this tool should be used for read-only status checks or that other tools are for commits or diffs. This lack of explicit usage context leaves the agent to infer the appropriate conditions.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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  • Evaluate tool definition quality.

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