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
Implements MCP (Model Context Protocol) with LSP-powered code intelligence (Go to Definition, Find References, Call Hierarchy) across GitHub, GitLab, and local codebases, enabling compiler-level understanding without parsing. Provides modular Agent Skills—including multi-phase research with session persistence, AST-driven code analysis, dependency graphing, and PR review across seven domains—composable via CLI or direct integration into Claude/Cursor.
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.
Builds a lightweight index of public APIs at startup via language-specific parsers, then serves structured class/method/field metadata through 5 MCP tools—eliminating full-file reads and reducing hallucination risk. Includes line numbers for targeted source lookups and auto-detects language across mixed-language projects. Benchmarks show 44–87% token savings vs. grep/read workflows, with incremental reindexing on file changes.
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