| 0 |
| 1 |
| Ecosystem | 1 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Starting Price | — | $10/mo |
| Capabilities | 19 decomposed | 13 decomposed |
| Times Matched | 0 | 0 |
Exposes 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.
Unique: 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.
vs alternatives: 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.
Implements 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.
Unique: 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.
vs alternatives: 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.
Implements 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.
Unique: 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.
vs alternatives: 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.
Implements 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.
Unique: 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.
vs alternatives: 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.
Implements 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.
Unique: Supports interactive rebase mode for commit editing and provides conflict detection with structured reporting, enabling LLMs to understand rebase implications and handle conflicts programmatically.
vs alternatives: 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.
Implements 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.
Unique: 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.
vs alternatives: 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.
Implements 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.
Unique: 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.
vs alternatives: 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.
Implements 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.
Unique: Provides stash management with structured stash information and support for selective stashing, enabling LLMs to temporarily save changes and manage multiple stashes without committing.
vs alternatives: 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.
+11 more capabilities
Generates single-line and multi-line code suggestions in real-time as developers type, using semantic indexing of the entire codebase to retrieve relevant type definitions, function signatures, and contextual patterns. The system maintains a 1M token context window (Pro/Team tiers) that enables suggestions informed by distant code definitions and cross-file dependencies, constructed via local codebase semantic search rather than simple token-based recency. Suggestions adapt to detected coding style on Pro/Team tiers through implicit pattern learning from recent edits.
Unique: 1M token context window with codebase-wide semantic indexing enables suggestions informed by distant code definitions and cross-file patterns, versus competitors (Copilot, Tabnine) that typically use fixed context windows (4K-32K tokens) or file-local context. Claimed 250ms latency suggests optimized retrieval pipeline, though indexing mechanism and performance at scale remain undisclosed.
vs alternatives: Larger context window than GitHub Copilot (8K-32K tokens) and faster latency than unnamed competitors (250ms vs 783ms claimed), enabling suggestions on large codebases with minimal typing delay; trade-off is cloud dependency and undisclosed free tier limitations.
Provides a separate chat interface supporting multiple LLM backends (GPT-4o, Claude 3.5 Sonnet, GPT-4, others) for conversational code assistance. Users attach files, reference recent edits, and trigger compiler diagnostic uploads; the system generates diffs and applies code changes directly to the editor. Model selection is per-conversation, and $5/month in credits (included in Pro/Team) covers external model API costs; overage pricing is undisclosed. Hotkey-driven workflow enables rapid context switching between inline completion and chat.
Unique: Multi-model chat interface with per-conversation model selection and integrated diff application, combined with compiler diagnostic auto-upload. Unlike Copilot Chat (single model per tier) or standalone ChatGPT, Supermaven Chat unifies multiple LLM backends in a single hotkey-driven workflow with direct editor integration for change application.
Supermaven scores higher at 71/100 vs git-mcp-server at 34/100. git-mcp-server leads on ecosystem, while Supermaven is stronger on adoption and quality.
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vs alternatives: Supports multiple LLM backends (GPT-4o, Claude 3.5 Sonnet) in one interface with included credits, whereas GitHub Copilot Chat is single-model per tier and requires separate ChatGPT subscription for model switching; trade-off is credit limits and unknown overage pricing.
Supermaven Chat can automatically upload compiler diagnostic messages (errors, warnings) alongside code context to provide error-aware suggestions and fixes. The mechanism is described as 'automatically uploading your code together with compiler diagnostic messages,' but specific language/compiler support and the upload trigger mechanism are undisclosed. This feature is Chat-only and not available in inline completion.
Unique: Automatic compiler diagnostic upload in Chat for error-aware suggestions, versus competitors (Copilot, Tabnine) that require manual error context or have limited diagnostic integration. Supermaven's approach reduces friction but with undisclosed language/compiler support.
vs alternatives: Automatic diagnostic upload reduces manual context-gathering compared to manual copy-paste; trade-off is undisclosed language support and unclear upload trigger mechanism.
Supermaven offers a 30-day free trial of the Pro tier ($10/month), providing full access to 1M token context window, largest model, style adaptation, and $5/month chat credits. No credit card is required to start the trial (implied), and trial conversion to paid is automatic after 30 days unless cancelled. Trial terms and auto-renewal policy are not explicitly detailed.
Unique: 30-day free trial of Pro tier with full feature access (1M context, largest model, chat credits), versus competitors (Copilot 2-month free trial, Tabnine free tier only) with different trial lengths and feature access. Supermaven's approach is generous but with undisclosed auto-renewal terms.
vs alternatives: Full Pro feature access during trial compared to limited free tier; trade-off is undisclosed auto-renewal policy and potential unexpected charges if not cancelled.
Supermaven requires internet connectivity and server-side inference; no offline mode or local inference capability is mentioned or available. All code completion requests are sent to Supermaven's backend servers for processing, and responses are returned over the network. This creates a hard dependency on network connectivity and Supermaven's service availability; if the service is down or network is unavailable, code completion is not available.
Unique: Supermaven has no offline mode or local inference capability; all processing is server-side. GitHub Copilot also requires server-side inference, but Tabnine offers local inference options for some use cases. Supermaven's lack of offline capability is a significant limitation for developers with connectivity constraints.
vs alternatives: Supermaven's server-side-only approach is comparable to GitHub Copilot; Tabnine offers local inference options, making Tabnine more suitable for offline work. Supermaven's lack of offline capability is a weakness vs. Tabnine.
Analyzes recent code edits and inferred coding patterns to adapt inline suggestions to match team conventions, naming patterns, and structural preferences. The mechanism is implicit (not explicit fine-tuning) and operates only on Pro/Team tiers, suggesting pattern learning from editor activity rather than explicit configuration. Free tier uses a single base model without personalization.
Unique: Implicit style adaptation via editor activity analysis without explicit configuration, versus competitors (Copilot, Tabnine) that require manual style guides or explicit fine-tuning. Supermaven's approach is transparent to the user but also non-configurable and undisclosed in mechanism.
vs alternatives: Requires no manual style configuration compared to tools requiring explicit style guides; trade-off is lack of transparency and inability to control or export learned styles.
Delivers code suggestions to the editor inline as the developer types, with a claimed baseline latency of 250ms from keystroke to suggestion display. The system uses a cloud inference backend and local editor plugin to minimize round-trip time. Latency claim is positioned against an unnamed competitor (783ms), but methodology is undisclosed and no independent verification is provided.
Unique: Claimed 250ms latency via optimized cloud inference pipeline and editor plugin architecture, versus competitors with higher latency (783ms unnamed baseline). Actual differentiation is undisclosed; mechanism may involve request batching, model quantization, or edge caching, but specifics are not public.
vs alternatives: Faster than unnamed competitor (250ms vs 783ms claimed); trade-off is cloud dependency and unverified latency claim with no SLA or performance guarantee.
Provides native editor extensions for VS Code, JetBrains IDEs (IntelliJ IDEA, PyCharm, WebStorm, etc.), and Neovim, enabling inline suggestion rendering, hotkey-driven chat access, and compiler diagnostic integration directly within the editor. Each plugin variant is maintained separately and integrates with the editor's native autocomplete UI, keybinding system, and file context APIs.
Unique: Native plugins for three major editor ecosystems (VS Code, JetBrains, Neovim) with integrated chat and diff application, versus competitors (Copilot, Tabnine) that support broader editor ecosystems but with less deep integration in some cases. Supermaven's approach prioritizes depth over breadth.
vs alternatives: Deep integration with VS Code and JetBrains (native autocomplete UI, hotkey system) compared to web-based tools or lighter integrations; trade-off is limited editor support (no Sublime, Vim, Emacs) and undisclosed Neovim support details.
+5 more capabilities