Graphify-Labs/graphify
Graphify transforms codebases, documentation, and other files into queryable knowledge graphs, enhancing developer productivity with local AST parsing and detailed edge explanations.
Awesome MCP › Software Development
jamubc/gemini-mcp-tool
The gemini-mcp-tool is a Model Context Protocol (MCP) server designed to enable AI assistants to utilize the Google Gemini CLI's extensive token window for advanced analysis of large files and codebases. This tool integrates with AI environments such as Claude Code, allowing users to leverage Gemini's powerful capabilities directly within these platforms. The primary goal of the gemini-mcp-tool is to facilitate large-scale file and codebase analysis while saving tokens, making it highly efficient for complex tasks. The tool supports natural language commands and slash commands within Claude Code, enabling users to instruct Gemini to analyze files, directories, or answer general questions. It uses the `@` syntax to reference files or directories, allowing precise and contextual analysis. Additionally, the tool offers a sandbox mode for safe execution and testing of code, scripts, or commands, providing a secure environment for potentially risky operations. Installation is straightforward, with options for running the tool via NPX without installation or through a global npm installation. Configuration involves registering the MCP server with the MCP client, with detailed instructions provided for Claude Desktop users across different operating systems. The project includes comprehensive documentation, examples, and a contribution framework aimed at extending the tool's capabilities and automating tool creation. The gemini-mcp-tool features several AI assistant tools such as `ask-gemini` for querying Gemini, `sandbox-test` for safe code execution, and utility commands like `Ping` and `Help`. These tools enhance the interaction between AI assistants and the Gemini CLI, enabling sophisticated analysis and code understanding. Overall, the gemini-mcp-tool is a valuable resource for developers and AI practitioners looking to harness the power of Google Gemini within AI-assisted coding and analysis environments, providing a seamless and efficient workflow for handling large-scale data and code analysis tasks.
https://github.com/jamubc/gemini-mcp-tool
Also in Software Development
upstash/context7
Context7 MCP Server is an MCP server that delivers up-to-date, version-specific code documentation and examples to enhance LLMs and AI code editors, ensuring accurate and current code generation.
DeusData/codebase-memory-mcp
High-performance Model Context Protocol (MCP) server that indexes codebases into a persistent knowledge graph for AI coding agents, supporting 158 languages, lightning-fast queries, and various dev...
github/github-mcp-server
GitHub MCP Server is an official Model Context Protocol server that integrates with GitHub APIs to enable advanced automation and AI-powered interactions with GitHub repositories and workflows.
tirth8205/code-review-graph
Code-review-graph is a local-first code intelligence solution that builds a persistent structural map of your codebase to provide precise context to AI coding tools, significantly reducing token us...
oraios/serena
Serena is a free and open-source coding agent toolkit that uses the Model Context Protocol to enable LLMs to autonomously perform semantic code retrieval and editing with IDE-like precision on complex codebases.
eyaltoledano/claude-task-master
Claude Task Master is an AI-powered task management system designed for AI-driven development that integrates seamlessly with various editors via the Model Control Protocol (MCP).
mksglu/context-mode
Context Mode is an MCP server designed to optimize context window usage for AI coding agents by sandboxing tool output, tracking session continuity with SQLite, and promoting LLMs as code generator...