octocode-mcp and cie

octocode-mcp
70
Verified
cie
44
Emerging
Maintenance 20/25
Adoption 10/25
Maturity 24/25
Community 16/25
Maintenance 10/25
Adoption 5/25
Maturity 13/25
Community 16/25
Stars: 746
Forks: 58
Downloads:
Commits (30d): 35
Language: TypeScript
License: MIT
Stars: 12
Forks: 6
Downloads:
Commits (30d): 0
Language: Go
License: AGPL-3.0
No Dependents
No Package No Dependents

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.

software-development code-analysis AI-engineering developer-tools codebase-management

About cie

kraklabs/cie

Code Intelligence Engine — indexes your codebase and gives AI assistants deep understanding via MCP (semantic search, call graphs, 20+ tools)

This tool helps software developers and engineers understand complex codebases quickly. It takes your source code as input and provides capabilities like finding code by its meaning, tracing how different parts of the code connect (call graphs), and discovering API endpoints. Developers can use this to navigate large projects, debug issues, or get a high-level overview without manually sifting through files.

software-development codebase-analysis developer-tools debugging AI-assisted-coding

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