MCP Servers
rushikeshmore/CodeCortex
Persistent codebase knowledge layer for AI agents. Pre-builds architecture, dependency, coupling, and risk knowledge served via MCP. 27 languages, 13 tools.
Our verdict
We have not reviewed rushikeshmore/CodeCortex yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About rushikeshmore/CodeCortex
CodeCortex pre-builds a persistent knowledge layer for AI agents extracting architecture, dependency, coupling, and risk data from codebases. It serves this knowledge through the Model Context Protocol (MCP) supporting 27 languages and 13 analysis tools.
Best for
Developers using AI agents to navigate and understand large, multi-language codebases.
Use cases
- Feed an AI agent structured codebase context to answer architecture questions
- Map dependencies and coupling across a multi-language project
- Identify risk areas before making cross-cutting changes
Notes
5 stars on GitHub. Last updated 2026-04-21. Licensed MIT.
Pros
- Reduces redundant re-analysis by caching knowledge persistently
- Broad language support and structured MCP interface for agents
- No runtime dependency on external APIs once built
Cons
- Requires a one-time setup and initial analysis run
- Knowledge can become stale if code changes out of sync with the pre-built layer
- Limited to the 13 predefined tools; custom analyses not supported
Key facts
What we have checked
Not checked yet. Dated facts such as prices, releases and repository activity appear here once we have confirmed them from a source.
How to use
How to set it up
As the listing publishes it. We have not run this install.
Install
npm install -g codecortex-ai --legacy-peer-depsTools exposed
get_project_overviewget_dependency_graphlookup_symbolget_change_couplingget_edit_briefingstart_sessionbefore_editing
Clients the listing names (not checked here)
Claude Code, Cursor
Install
Add rushikeshmore/CodeCortex to your client
No install recipe yet. We write one for Claude Code, Claude Desktop, Cursor, VS Code, Codex and ChatGPT when the server is in the official MCP registry with a package or remote address we can use.
Until then, follow the project's own README, or the setup the listing publishes under How to set it up.
Works with
What rushikeshmore/CodeCortex connects to
No confirmed connections yet. A product appears here when the server's registry name, repo, homepage or name ties it to that product, and a client appears when we have an install recipe for it.
Alternatives
Alternatives to rushikeshmore/CodeCortex
| Record | Type | How we know | Checked |
|---|---|---|---|
| oraios/serenaThis is an alternative to it | MCP server | Named in the listing | Not dated |
| repowise-dev/repowiseThis is an alternative to it | MCP server | Named in the listing | Not dated |
| upstash/context7This is an alternative to it | MCP server | Named in the listing | Not dated |
Compare
Compare rushikeshmore/CodeCortex side by side
Sources
Where this comes from
No sources recorded yet. Each source we check is listed here with the date we checked it.
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
oraios/serena
Various
A powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your agent
repowise-dev/repowise
Various
Codebase intelligence for AI and humans: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.
upstash/context7
Various
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors
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