MCP server for semantic code research and context generation using LLM patterns across public and private repos.
octocode is easy to set up with strong trust signals. Check agent compatibility and use-case fit before adding it to your workflow.
Repository setup guidance
gh repo view bgauryy/octocode --webOpen the official README and confirm the supported install method.
Add the server entry to your MCP client config.
Restart your agent and verify that the server tools appear.
Octocode is a tool that helps AI assistants research code deeply. It can search your local codebase and GitHub repositories, find definitions and references, and generate context for AI models. It works as an MCP server or a CLI.
Octocode is a Model Context Protocol (MCP) server that enables AI assistants to perform deep code research. It combines local code analysis (using ripgrep and LSP-level features like go-to-definition, references, and call hierarchy) with external GitHub search (repos, PRs, npm/PyPI packages). The tool provides 14 research tools that can be wired into AI assistants like Claude Code, Cursor, and Claude Desktop. It also offers a CLI for terminal usage. Octocode is designed to reduce token usage and improve research quality, with benchmarks showing 89% fewer tokens than raw gh commands. It supports both public and private repositories based on user permissions.
Strong trust signals; still review the README and permissions before production use.
Last commit was about 54 days ago.
858 GitHub stars indicate community interest.
6 open issues signal maintenance load.
MIT license detected.
Search for code patterns across multiple repositories
Understand codebase architecture by tracing definitions and references
Review pull requests with AI assistance
Generate AI-optimized documentation from codebases
Find real implementations of libraries and frameworks
Requires GitHub authentication; tokens may be exposed if not configured securely
Local code scanning may access sensitive files; ensure proper permissions
858
Stars
72
Forks
6
Issues
MIT
License
Local codebase intelligence CLI and MCP server for AI coding agents with change-safety gates and audit evidence.
An offline MCP server that indexes your codebase for semantic search, code search, and git history retrieval.
Official MCP reference servers from Anthropic. Includes servers for filesystem, GitHub, Postgres, Slack, and more.
MCP server for semantic code research and context generation using LLM patterns across public and private repos.
AI-assisted developers using Claude Code, Cursor, or similar tools, Senior engineers who need deep code research across large codebases, DevOps engineers automating code analysis in CI pipelines
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
Requires GitHub authentication; tokens may be exposed if not configured securely Local code scanning may access sensitive files; ensure proper permissions
Similar or complementary options to evaluate include roam-code, code-memory, MCP Server Collection.
Jun 6, 2026
2 security/trust notes recorded.
Setup difficulty is 2/5.