git-mcp-server
MCP ServerFreeAn MCP (Model Context Protocol) server enabling LLMs and AI agents to interact with Git repositories. Provides tools for comprehensive Git operations including clone, commit, branch, diff, log, status, push, pull, merge, rebase, worktree, tag management, and more, via the MCP standard. STDIO & HTTP.
Capabilities19 decomposed
mcp-standardized git tool exposure via schema-based function registry
Medium confidenceExposes 25+ Git operations as MCP tools through a standardized three-file architecture (logic, handler, schema) that implements the 'Logic Throws, Handler Catches' pattern. Each tool is registered with Zod-validated input schemas and structured output types, enabling AI agents to discover and invoke Git operations with type safety. The MCP SDK (@modelcontextprotocol/sdk ^1.17.0) handles protocol negotiation and tool marshaling across both STDIO and HTTP transports.
Uses a consistent three-file architecture pattern (logic/handler/schema) across all 25+ Git tools, enabling predictable tool registration and reducing boilerplate. Implements 'Logic Throws, Handler Catches' principle where business logic throws domain errors and MCP handlers translate them to protocol-compliant responses.
More standardized and discoverable than custom REST APIs or direct CLI wrapping because it leverages MCP's native tool schema negotiation, allowing any MCP-compatible client to auto-discover Git capabilities without client-side configuration.
dual-transport mcp server with stdio and http backends
Medium confidenceImplements both STDIO (process-level IPC) and HTTP (Hono-based web server) transports for MCP communication, selectable via MCP_TRANSPORT_TYPE environment variable. STDIO transport launches as a child process with direct stdin/stdout communication for tight client-server coupling; HTTP transport runs a Hono web server on port 3010 (with automatic retry) supporting CORS, JWT/OAuth authentication via JOSE, and session persistence. Both transports route to the same underlying MCP server logic, enabling flexible deployment patterns.
Provides true dual-transport support with a single codebase by abstracting transport concerns from business logic. HTTP transport includes JWT/OAuth authentication via JOSE and session management, while STDIO transport leverages OS-level process isolation for security.
More flexible than single-transport MCP servers because it supports both tight local integration (STDIO) and distributed deployment (HTTP) without code duplication, and includes authentication for HTTP unlike basic MCP server implementations.
pull operations with merge/rebase strategy selection
Medium confidenceImplements git pull with configurable merge strategies (merge, rebase, fast-forward only) and automatic conflict detection. Uses git pull with strategy flags (--rebase, --ff-only, --no-ff) and captures merge/rebase output including conflict information. Detects merge conflicts and returns structured response indicating conflict status and affected files. Supports pulling from specific remotes and branches.
Provides configurable merge strategies (merge, rebase, ff-only) as tool parameters rather than requiring separate tool calls, and detects/reports merge conflicts in structured format enabling downstream conflict resolution logic.
More flexible than basic git pull because it supports multiple merge strategies and detects conflicts with structured reporting, enabling LLMs to choose appropriate strategy and handle conflicts programmatically rather than failing on conflict.
merge operations with conflict detection and resolution tracking
Medium confidenceImplements git merge with support for merging branches into current branch, detecting conflicts, and optionally aborting on conflict. Uses git merge with configurable flags (--no-commit for dry-run, --abort for rollback) and parses merge output to identify conflicted files and merge status. Returns structured merge result including conflict information and affected files. Supports both fast-forward and non-fast-forward merges.
Detects and reports merge conflicts in structured format with affected file list, and supports --no-commit for dry-run merges, enabling LLMs to preview merges and handle conflicts programmatically rather than failing on conflict.
More robust than basic git merge because it detects conflicts before committing and supports dry-run mode, enabling LLMs to understand merge implications and make decisions about conflict resolution strategy.
rebase operations with interactive mode and conflict handling
Medium confidenceImplements git rebase with support for rebasing onto different branches or commits, interactive rebase for commit editing, and conflict detection. Uses git rebase with configurable flags (--interactive for interactive mode, --abort for rollback, --continue for resuming after conflict resolution). Detects rebase conflicts and returns structured response indicating conflict status and affected commits. Supports rebasing current branch or specific branches.
Supports interactive rebase mode for commit editing and provides conflict detection with structured reporting, enabling LLMs to understand rebase implications and handle conflicts programmatically.
More powerful than basic git rebase because it supports interactive mode for commit editing and detects conflicts with structured reporting, enabling LLMs to clean up history and handle conflicts rather than failing on conflict.
tag creation and management with annotation support
Medium confidenceImplements git tag operations for creating lightweight and annotated tags, listing tags with filtering, and deleting tags. Supports creating tags at specific commits or HEAD, annotated tags with messages and tagger information, and listing tags with optional filtering by pattern. Uses git tag with configurable flags (-a for annotated, -d for deletion) and returns structured tag information including tag name, type, and target commit.
Supports both lightweight and annotated tags with optional messages, and provides structured tag information in responses, enabling LLMs to create semantic version tags and track release history.
More complete than basic git tag because it supports annotated tags with messages and provides structured tag information, enabling LLMs to create meaningful release tags and query release history.
worktree management for parallel branch development
Medium confidenceImplements git worktree operations for creating isolated working directories for different branches, listing active worktrees, and removing worktrees. Uses git worktree add/list/remove commands to manage multiple working directories pointing to different branches of the same repository. Each worktree has its own working directory but shares the .git directory, enabling parallel development on multiple branches without switching. Returns structured worktree information including path, branch, and lock status.
Provides worktree management enabling parallel development on multiple branches without switching, with structured worktree information in responses, enabling LLMs to coordinate work across multiple branches simultaneously.
More powerful than branch switching because worktrees enable true parallel development without context switching, allowing LLMs to work on multiple branches concurrently and coordinate changes across branches.
stash operations for temporary change storage and retrieval
Medium confidenceImplements git stash operations for saving uncommitted changes, listing stashed changes, applying stashes, and deleting stashes. Uses git stash with configurable flags (save/push for stashing, apply/pop for retrieving, drop for deletion) and supports stashing specific files. Returns structured stash information including stash ID, description, and affected files. Enables temporary storage of work-in-progress changes without committing.
Provides stash management with structured stash information and support for selective stashing, enabling LLMs to temporarily save changes and manage multiple stashes without committing.
More useful than raw git stash because it provides structured stash information and supports selective stashing, enabling LLMs to manage work-in-progress changes and coordinate stash operations across multiple steps.
remote repository configuration and management
Medium confidenceImplements git remote operations for adding, listing, removing, and configuring remote repositories. Uses git remote add/remove/set-url commands to manage remote configuration. Supports setting remote URLs, fetch/push URLs separately, and listing remotes with detailed information. Returns structured remote information including URL, fetch/push configuration, and tracking branches.
Supports separate fetch/push URLs and provides structured remote information in responses, enabling LLMs to configure complex multi-remote setups and coordinate pushes to different repositories.
More flexible than basic git remote because it supports separate fetch/push URLs and provides structured configuration information, enabling LLMs to manage complex multi-remote workflows.
structured error handling and recovery with domain-specific error codes
Medium confidenceImplements a centralized error handling system where Git tool logic throws domain-specific errors (e.g., RepositoryNotFoundError, MergeConflictError, AuthenticationError) that are caught by MCP handlers and translated into protocol-compliant error responses with error codes and recovery suggestions. Uses TypeScript error classes for type-safe error handling and provides structured error information including error type, message, affected files, and suggested recovery actions. Enables clients to programmatically handle specific error conditions.
Implements 'Logic Throws, Handler Catches' pattern where business logic throws domain-specific errors that are translated to MCP error responses with error codes and recovery suggestions, enabling programmatic error handling rather than parsing error messages.
More robust than raw Git CLI error handling because it provides structured error codes and recovery suggestions, enabling LLMs to understand error causes and take corrective action programmatically rather than failing on error.
structured logging with winston for operational visibility
Medium confidenceImplements structured logging using Winston ^3.17.0 with configurable log levels, transports, and formatting. Logs all Git operations (tool invocations, parameters, results, errors) with structured metadata enabling operational monitoring and debugging. Supports multiple transports (console, file, external services) and structured JSON output for log aggregation. Enables tracing of MCP requests through session IDs and request IDs.
Uses Winston structured logging with configurable transports and JSON formatting, enabling centralized log aggregation and operational monitoring across multiple server instances.
More operationally useful than console logging because it supports multiple transports, structured JSON output, and log aggregation, enabling centralized monitoring and debugging of distributed deployments.
session-scoped working directory management with context isolation
Medium confidenceMaintains session-specific working directories through a centralized state manager, enabling multiple concurrent Git operations to operate in isolated contexts without interfering with each other. Each MCP session gets its own working directory context that persists across tool invocations within that session. The architecture supports switching between repositories and managing multiple worktrees per session, with state tracked via session IDs passed through MCP requests.
Implements session-scoped working directory isolation at the MCP server level rather than relying on client-side state management, ensuring Git operations are always executed in the correct context even across multiple tool calls and transport reconnections.
More robust than stateless Git tool wrappers because it maintains context across multiple operations, reducing the need for clients to track and pass repository paths with every tool call, and preventing accidental operations in wrong repositories.
structured git repository cloning with validation and error recovery
Medium confidenceImplements git clone operations through a validated tool that accepts repository URL, target directory, and optional branch/depth parameters, with Zod schema validation before execution. The implementation uses child_process to invoke native Git CLI, captures both stdout/stderr, and translates Git errors (authentication failures, invalid URLs, network timeouts) into structured MCP error responses. Supports shallow clones (--depth) and branch-specific cloning for bandwidth optimization.
Wraps git clone with Zod schema validation and structured error translation, converting raw Git CLI errors into MCP-compliant error responses that include error codes and recovery suggestions rather than raw stderr output.
More reliable than raw git CLI invocation because it validates inputs before execution, captures and translates errors into actionable messages, and supports shallow cloning for bandwidth optimization — features missing from basic Git command wrappers.
commit creation with staged changes validation and message templating
Medium confidenceImplements git commit operations through a tool that validates staged changes exist before committing, accepts commit message with optional template variables (author, timestamp), and supports amend mode for modifying previous commits. Uses child_process to invoke git commit with configurable flags (--amend, --no-verify), captures commit metadata (hash, author, timestamp), and returns structured commit information. Validates that at least one file is staged before allowing commit to prevent empty commits.
Validates staged changes before committing and provides structured commit metadata in response, preventing silent failures from empty commits and enabling clients to track commit hashes for subsequent operations like pushing or tagging.
More robust than raw git commit invocation because it validates preconditions (staged changes exist), prevents empty commits, and returns structured metadata enabling downstream operations, rather than just executing the command and returning exit codes.
branch management with creation, switching, deletion, and listing
Medium confidenceProvides comprehensive branch operations through separate tools for creating branches (with optional start point), switching branches (with detached HEAD support), deleting branches (with force flag), and listing branches (local, remote, or all). Each operation uses child_process to invoke native git commands (branch, checkout, branch -d/-D) with appropriate flags. Validates branch names before creation and prevents deletion of currently-checked-out branch. Returns structured branch information including tracking status and commit references.
Provides separate tools for each branch operation (create, switch, delete, list) with validation and structured output, enabling fine-grained control and error handling rather than a single generic branch tool that requires complex parameter interpretation.
More composable than monolithic branch management because each operation is a separate tool with clear inputs/outputs, enabling LLMs to reason about branch state and make decisions about which operation to perform next.
diff generation with file-level and line-level granularity
Medium confidenceGenerates diffs between commits, branches, or working directory using git diff with support for staged vs unstaged changes, specific file filtering, and output formatting (unified, stat, patch). Invokes git diff with configurable flags (--cached for staged, --stat for summary, --name-only for file list) and parses output into structured format showing changed files, additions/deletions counts, and optionally full patch content. Supports comparing arbitrary revisions (commit hashes, branch names, HEAD~N).
Provides multiple diff output formats (patch, stat, name-only) through a single tool with format parameter, enabling clients to request only the level of detail needed (summary vs full patch) rather than making multiple tool calls.
More flexible than raw git diff output because it parses structured information (file counts, addition/deletion stats) and supports multiple output formats, enabling LLMs to analyze changes at different levels of detail without parsing raw diff text.
commit history traversal with filtering and log analysis
Medium confidenceRetrieves commit history using git log with support for filtering by author, date range, commit message pattern, and file path. Configurable output includes commit hash, author, timestamp, message, and optionally full diff or stats. Uses git log with format strings and grep filters to extract structured commit data. Supports pagination through --skip and --max-count flags to handle large histories efficiently. Can generate statistics (commits per author, commits per day) for repository analysis.
Supports multiple filtering dimensions (author, date, message pattern, file path) in a single tool call with structured output, enabling complex historical queries without requiring multiple tool invocations or client-side filtering.
More powerful than raw git log because it supports multiple filtering criteria simultaneously and returns structured data (parsed commits with metadata) rather than raw text, enabling LLMs to analyze patterns and make decisions based on historical data.
repository status monitoring with staged/unstaged change detection
Medium confidenceProvides real-time repository status through git status parsing, identifying staged changes, unstaged modifications, untracked files, and merge/rebase state. Invokes git status --porcelain for machine-readable output and parses status codes (M, A, D, ??, etc.) into structured format showing file paths, change types, and staging status. Detects special states (merge in progress, rebase in progress, detached HEAD) and includes them in status response.
Parses git status --porcelain into structured format with categorized changes (staged vs unstaged) and detects special repository states (merge, rebase, detached HEAD), providing LLMs with actionable state information rather than raw status text.
More useful than raw git status output because it categorizes changes by staging status and detects special states, enabling LLMs to make informed decisions about which operations are safe to perform without parsing status codes.
push operations with branch tracking and remote configuration
Medium confidenceImplements git push with support for pushing to specific remotes and branches, setting upstream tracking on first push, and force push with safety checks. Uses git push with configurable flags (--set-upstream for tracking, --force-with-lease for safer force push). Validates remote exists before pushing and returns push result including remote tracking information. Supports pushing to multiple branches in sequence through separate tool calls.
Supports --set-upstream flag to establish tracking on first push and --force-with-lease for safer force pushes, reducing need for separate tool calls to configure tracking and providing safety guardrails for history rewrites.
More complete than basic git push because it handles upstream tracking setup and provides force push safety (--force-with-lease instead of --force), reducing manual intervention needed for common push workflows.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓AI agent developers building multi-tool systems that need standardized Git integration
- ✓Teams deploying LLM-driven development workflows across multiple clients (Claude Desktop, custom MCP clients)
- ✓Desktop AI applications (Claude Desktop, Cursor) using STDIO for low-latency local Git access
- ✓Cloud-deployed agent systems needing HTTP-based Git service with authentication
- ✓Teams requiring both local development (STDIO) and production (HTTP) deployment flexibility
- ✓Automated workflows that need to sync with remote before pushing changes
- ✓Scenarios where LLM needs to understand merge strategy implications (linear vs merge commits)
- ✓Conflict detection to trigger manual resolution or automated conflict resolution logic
Known Limitations
- ⚠Tool discovery is static at server startup — dynamic tool registration not supported
- ⚠Schema validation adds ~50-100ms overhead per tool invocation due to Zod parsing
- ⚠No built-in rate limiting or quota management per tool — relies on transport layer auth
- ⚠STDIO transport has no built-in authentication — relies on process-level OS isolation
- ⚠HTTP transport adds network latency (~10-50ms) compared to STDIO for local operations
- ⚠Session state is in-memory by default — requires external persistence layer for multi-instance deployments
Requirements
Input / Output
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Repository Details
Last commit: Apr 21, 2026
About
An MCP (Model Context Protocol) server enabling LLMs and AI agents to interact with Git repositories. Provides tools for comprehensive Git operations including clone, commit, branch, diff, log, status, push, pull, merge, rebase, worktree, tag management, and more, via the MCP standard. STDIO & HTTP.
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