octocode-mcp and codesurface
These are complements: octocode-mcp provides broad semantic search across codebases while codesurface offers targeted API surface lookups, and they could be used together to combine full-codebase context retrieval with efficient API reference resolution.
About octocode-mcp
bgauryy/octocode-mcp
MCP server for semantic code research and context generation on real-time using LLM patterns | Search naturally across public & private repos based on your permissions | Transform any accessible codebase/s into AI-optimized knowledge on simple and complex flows | Find real implementations and live docs from anywhere
This project helps software developers enhance their AI assistants by providing a comprehensive understanding of codebases. It takes code from GitHub, GitLab, and local repositories and processes it to allow AI assistants to perform tasks like code search, understanding implementations, and reviewing pull requests with deep context. This tool is for software engineers, tech leads, or engineering managers who want their AI assistants to operate with the expertise of a senior staff engineer.
About codesurface
Codeturion/codesurface
Give your AI agent instant API lookups instead of expensive source file reads. MCP server for C#, Go, Java, Python, and TypeScript.
This project helps AI agents understand your codebase more efficiently. Instead of having the AI read entire source files to find information, you give it the codebase, and it creates a searchable index of all public APIs (classes, methods, properties). Your AI agent then queries this index to quickly find what it needs, saving time and computational resources. This is for software developers who use AI agents for code assistance, refactoring, or exploration.
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