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  • A
    license
    A
    quality
    B
    maintenance
    About The fast, idiomatic way to build MCP servers in Go. Gin-like DX with struct-tag auto schema, middleware, adapters for Gin/OpenAPI/gRPC.
    5
    14
    Apache 2.0
  • F
    license
    Not graded
    quality
    D
    maintenance
    Enforces GINIALTECH project conventions and protects critical files while providing project context to AI agents. It ensures adherence to specific language requirements and the use of Bun as the exclusive package manager.
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  • A
    license
    A
    quality
    C
    maintenance
    Enables AI agents to intelligently organize Git changes into clean, focused commits with autopilot mode or surgical line-by-line staging precision. Supports partial staging of untracked files and handles large diffs with smart truncation.
    5
    1
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Real human judgment as agent tools -- an AI agent can ask a question and get back a structured, schema-validated JSON answer from a real quality-scored human. 16 response types (yes/no, ratings, rankings, A/B tests, sentiment, image/video/audio review, voice/video/photo capture). Fully programmatic signup with a $5 free trial credit, no card required.
    7
    57 npm
    MIT
  • F
    license
    A
    quality
    D
    maintenance
    A deterministic MCP server that reimplements ai-git-fish workflows (aicommit, aibranch, aipr) with Leantime integration, enabling Claude Code and Codex to perform git operations and manage tickets without an internal LLM.
    9
    -
  • A
    license
    A
    quality
    A
    maintenance
    Persistent long-term memory for AI coding assistants. Local SQLite, no cloud - 16 MCP tools to store, search, relate, and consolidate typed memories with a confidence lifecycle, hybrid BM25 + semantic search, namespaces, a knowledge graph, and a built-in OS keychain credential vault.
    19
    4
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Context-efficient MCP server for AI agents. fetch_extract reduces token usage by a median 98.1% (53,820 → 2,001 tokens) vs raw HTML — saves ~$0.156/call at Sonnet pricing. Pay $0.02 USDC on Base via x402. First call free per wallet. 10 always-free utility tools included.
    33
    1
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    A local MCP server that provides a safe, explicit set of Git operations for version control tasks like status, diff, branching, staging, committing, fetching, merging, and pushing.
    13
    4 npm
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    This MCP server analyzes Git reflog and object data to provide recovery signals after accidental resets or deletions, helping assess whether lost commits or branches may still be recoverable without exposing sensitive details.
    3
    126 npm
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    A local Git intelligence MCP server that provides deep repository analytics including hotspots, churn, knowledge maps, and risk scoring, all computed from commit history without data leaving your machine.
    12
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Local Git MCP server exposing 29 tools that let AI clients manage repositories, commits, branches, remotes, and advanced git operations via natural language.
    29
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Enables local, timestamped search over GitHub Awesome channel featured repositories with SQLite/FTS5 catalog, offering tools to search repos, get repo details, check catalog status, and update from video data.
    4
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Blocks AI coding assistants from installing non-existent packages and accessing non-existent files.
    1
    Apache 2.0
  • A
    license
    A
    quality
    C
    maintenance
    Enables local git operations including commit, branch, push, pull, status, and sync with conventional commit enforcement and branch naming conventions.
    6
    MIT