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URL: https://glama.ai/mcp/servers/integrations/gin

⇱ Gin | Glama

  • Why this server?

    Extracts HTTP routes from Go codebases using the Gin web framework for mapping API endpoints and their relationships.

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    Structural graph map of any codebase. Scans entities, relationships, and feature flows across 13 languages so LLMs navigate by structure instead of reading everything.
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    MIT

  • Why this server?

    Provides documentation and package information for the Gin web framework from official Go sources.

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    A high-performance MCP server providing up-to-date documentation for Go, npm, Python, Rust, Docker, Kubernetes, Terraform, and more — fetched from official sources, not training data.
    Last updated
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    MIT

  • Why this server?

    Identifies and integrates project stack details for Go applications using the Gin framework.

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    Persistent project context for Google Gemini. 12 MCP tools for .faf Project DNA — auto-detect your stack, validate, score, and sync across CLAUDE.md, GEMINI.md, and AGENTS.md. Python/FastMCP. IANA-registered format (application/vnd.faf+yaml). 183 tests. One file, every AI platform.
    Last updated
    12
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    MIT

  • Why this server?

    Allows importing existing Gin web framework routes as MCP tools with one line of code, enabling AI applications to interact with existing Gin-based APIs through the MCP protocol.

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    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.
    Last updated
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    Apache 2.0

  • Why this server?

    Detects Gin framework usage in Go projects through project structure inspection and dependency analysis.

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    Enables inspection and analysis of project structures to detect languages, frameworks, entry points, and dependencies across multiple programming languages including Node.js, Python, PHP, Go, Java, and Rust.
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    ISC

  • Why this server?

    Extracts routes and handlers from Gin web applications for route-level dependency and blast radius analysis.

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    Content-addressed code graph that produces ranked context for AI agents in one call. 22 MCP tools across indexing, blast radius, test scope, semantic diff, runtime traffic, and feedback-aware context packing. Incremental updates via Merkle DAG (no re-indexing). GCF wire format saves 84% tokens vs JSON
    Last updated
    10
    MIT

  • Why this server?

    Planned support for scanning Gin projects to extract and index API endpoints for context-aware coding assistance.

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    Enables AI coding assistants to automatically scan, store, and query API endpoints from codebases, providing instant lookup and semantic search to reduce context switching and token consumption.
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  • Why this server?

    Generates language-specific and framework-specific rules for Go projects using Gin.

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    A developer tool suite for Claude Code that automates the creation of CLAUDE.md files, project rules, and specialized AI agent definitions. It also provides advanced features for generating n8n workflows, performing security audits, and creating automated test cases.
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  • Why this server?

    Detects Gin framework usage and analyzes Gin-specific project structures, conventions, and patterns for Go web applications.

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    Live codebase intelligence for AI agents. Import graph PageRank for file importance, git forensics for co-change coupling and fragile code, convention detection across 16 domains, and blast radius analysis.
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    Business Source 1.1