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Codeindexer

codeindexer.dev

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What it does

Codeindexer is a local MCP server that provides AI agents like Cursor, Claude Code, and Copilot with deep codebase intelligence. It features a queryable call graph, semantic search, and persistent memory. Supporting 28 languages, it runs entirely offline to ensure code privacy while reducing token costs by providing precise context. It includes 32 tools for search, graph analysis, and security auditing, compatible with any client using the Model Context Protocol standard.

Two ratings

SiteList review score

Exceptional local-first positioning for AI developer workflows. Accessibility gaps in functional forms and design system technical debt require attention.

Reviewed on Sep 6, 2026

Why this score? →

Screenshots

Captured during our latest review on Sep 6, 2026

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Pricing details

Pro is $20/mo or $16/mo billed annually. Security is $32/mo billed annually. Billed monthly. free plan · Free forever for up to 3 projects.

PlanPriceDetails
Free$0 monthly per 3 projects

Forever, for solo work and side projects. Up to 3 indexed projects · 100,000 chunks total · Symbol, semantic and exact search · 8 active phases · 42 open cards

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Pro$20 monthly per per seat

Everything serious developers and small teams need. Unlimited projects and chunks · Cascade search · Call graph · Code quality analysis

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Pro (Annual)$192 annual per per seat

Everything serious developers and small teams need. Unlimited projects and chunks · Cascade search · Call graph · Code quality analysis

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Security (Annual)$384 annual per per seat

Findings that deserve your attention. One command, your whole repo, signal over noise. Deep audit pipeline · Security disclosure support

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Key features

  • Call Graph

    Analysis

    Analyzes callers, callees, chains, cycles, and shortest paths in the codebase.

  • Semantic Search

    Search

    Embedding-based search to find code by meaning rather than just keywords.

  • Cascade Search

    Search

    Smart picker that combines symbol, semantic, and exact search modes.

  • Persistent Memory

    Context

    Maintains context and decisions across different AI agent sessions.

  • Code Quality Analysis

    Analysis

    Identifies dead code, complexity hotspots, and function rankings.

  • Cross-file Analysis

    Analysis

    Bridges execution flows and related files across the entire repository.

  • 32 MCP Tools

    Connectivity

    Exposes search, graph, memory, and audit tools via the Model Context Protocol.

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Who it’s for

  • Solo Developers

    Enhancing AI agents for side projects and daily coding tasks with precise context.

  • Engineering Organizations

    Providing reliability, support, and on-prem control for critical software development.

  • AI Agents

    Giving autonomous agents a deep technical surface and persistent memory of codebases.

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Integrations

  • Cursor

    Developer Tools

    AI-powered code editor with built-in MCP support.

  • Claude Code

    Developer Tools

    Anthropic's command-line AI agent.

  • Claude Desktop

    Developer Tools

    Desktop application for Claude with MCP tool capabilities.

  • VS Code Copilot

    Developer Tools

    GitHub Copilot extension for Visual Studio Code.

  • Windsurf

    Developer Tools

    Agentic IDE with native MCP integration.

  • OpenAI Codex CLI

    Developer Tools

    Command-line interface for OpenAI's code models.

  • Gemini / Antigravity

    Developer Tools

    Google's AI models and associated agentic tools.

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Buyer questions

Questions buyers actually ask

What is MCP, and why does it matter?

Model Context Protocol is an open standard introduced by Anthropic that defines how AI agents talk to external tools. Building on MCP means codeindexer works with whatever AI client you use today — and whatever you switch to tomorrow.

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How is this different from Cursor’s built-in indexer?

Cursor's indexer is locked to Cursor and mostly does embedding-based search. codeindexer works with every MCP client, offers semantic + symbolic + exact search in one cascade, walks the real call graph, runs security audits, and gives your agent persistent memory across sessions.

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Product FAQ information · View source

The expert review

Codeindexer earns an 86/100 for its highly optimized, privacy-first MCP server designed for developer AI agents. While it excels in technical performance and positioning, it faces minor hurdles in accessibility and design system technical debt.

86/100: High-performance developer tool with minor technical debt

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Scores across 13 dimensions

Domain
codeindexer.dev
Category
Agent tooling & MCP
Founded
2026
Last checked
Sep 6, 2026
Public dimensions
13

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Score 87 out of 100 — Strong

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Score 86 out of 100 — Strong

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