CIS is a Rust daemon that builds a versioned code graph over your repository and exposes it to AI agents through the Model Context Protocol. Agents can navigate symbols, search semantically, apply speculative edits with confirm/revert, and merge branches — with crash-safe persistence and background maintenance.

Standalone MCP server for codebase-chat — codebase intelligence tools for Cursor, Claude, Windsurf and any MCP client. Works without DeepSeek Harness.

Standalone MCP server for dsh-codebase-chat — codebase intelligence tools for Cursor, Claude, Windsurf and any MCP client. Works without DeepSeek Harness.

AI Architect Codebase: cross-platform code intelligence MCP for Claude Code, Codex, Gemini, Cursor, VS Code, and Zed. Tree-sitter AST to LadybugDB graph, hybrid search, and impact analysis.

High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.

GraphQL-style codebase intelligence CLI — index, query, and analyze any codebase

AI-powered codebase intelligence platform — MCP Server, AST analysis, Knowledge Graph, and semantic memory with SQLite + sqlite-vec. Analyze any codebase in minutes.

Local-first MCP server for CodeAtlas — AST analysis, codebase intelligence, semantic memory, and A2A orchestration.

Codex-native codebase intelligence: deterministic repo context, change-plan drift review, and verification gating for AI coding agents. Local-first, zero API keys.

MCP server for AI-powered codebase indexing with semantic memory, smart bootstrap, and intelligent context compilation

Local-first codebase intelligence memory and task context for coding agents, via CLI, MCP, and local HTTP.

Code Intelligence: Token-budgeted codebase context for Elixir agents. Solves context window limitations by providing a deterministic Elixir semantic graph and agent-ready Repo Map for LLMs.

Local codebase intelligence for AI coding agents: structural repo map, change-safety gates, MCP security receipts, and tamper-evident ChangeEvidence packets. Local analysis, zero API keys, no source-code egress.

Persistent organisational intelligence for AI agents. Turn codebases, documents, policies and decisions into a knowledge graph so Claude Code, Cursor and Copilot reason over architecture, dependencies and prior lessons — with confidence scores and evidence. 13 LLM backends + custom, fully offline capable.

🧠 Go-based MCP server for RAG code intelligence. Index, query, and analyze your codebase using natural language.

AI Mind Map — MCP server that reduces AI coding agent token usage by 80-99% through persistent codebase memory, knowledge graphs, and intelligent context management

AI-powered virtual IT department via MCP — codebase intelligence, 9-agent scrum team, sprint management, and React dashboard in one npm package

CodeMind is an AI agent memory system that maintains persistent, real-time context over complex codebases. By utilizing symbol graph storage, AST chunking, and intelligent file scanning, CodeMind enables LLMs to reason about relationships across large code structures without losing track of dependencies

MCP server exposing language-server intelligence (definition, references, hover, call hierarchy) to LLM agents — Rust rewrite tuned for million-line C/C++ codebases

AI-native .NET code intelligence for faster, more accurate codebase navigation with lower token usage.

Agentmako is a local project intelligence CLI and MCP server for codebases and databases, with repo-aware indexing, schema snapshots, and secure live database connectivity.

An experimental, 100% AI-generated, high-performance code intelligence server providing AI assistants with a graph-based understanding of codebases.

🧠 Python MCP Server for AST Codebase Intelligence, Symbol Extraction, Cyclomatic Complexity & Refactoring Analysis — compatible with Cursor, Claude Code, Windsurf & AI Agents.

Sub-millisecond AST structural & lexical BM25 code intelligence for AI coding agents. Ask your codebase a question, get exact file + symbol + line span in milliseconds.

Semantic code intelligence MCP server - build knowledge graphs of codebases to enhance AI-assisted code exploration.

Local codebase intelligence CLI + MCP server for AI coding agents: SQLite code graph, 28 languages, 287 commands, 246 MCP tools, change-safety gates, audit evidence, zero API keys.

Structural code intelligence for AI agents — semantic search, knowledge graphs, and a built-in MCP server in one Rust binary. Give Claude, Cursor, and any MCP client a deep understanding of your codebase.

Codebase intelligence layer — a queryable knowledge graph over your code.

Roslyn-based MCP server giving AI agents deep semantic understanding of .NET/C# codebases — 67 tools for navigation, call graphs, diagnostics & code fixes, safe refactoring, code-quality auditing, test intelligence, DI graphs, and IL/external-assembly inspection.

Code intelligence MCP server for AI coding agents. AST-level codebase understanding — semantic search, symbol navigation, real reference graphs, and cross-language bridge detection across many languages. Local-first; works with any MCP client (Claude Code, Cursor, Copilot).

Local code intelligence that reads your entire codebase. Secrets stay on your machine, period.

Code intelligence platform for AI agents. Search symbols, trace dependencies, measure blast radius, and navigate codebases through MCP tools — returning exactly the code your agent needs at a fraction of the token cost. Supports 30+ languages, hybrid search, third-party library indexing, multi-repo workspaces, and a live web dashboard.

Codebase intelligence layer — an embedded knowledge graph that makes call-graph and change-impact analysis instant.

Benzi is code intelligence infrastructure for AI models. It compiles your codebase into a resolved, queryable map of calls, data flow, control flow and class hierarchy first; then it reads, explains, runs, edits and verifies your code using it. Every language runs its own tree-sitter grammar into the same query map.

A persistent, Git-versioned map of your whole codebase and database schema that coding agents read before they touch anything. Local-first MCP server + CLI in Go: a governed repository index of code knowledge that gives Claude Code, Codex, Cursor, and opencode long-term context, memory, and code intelligence.

Local code intelligence for AI coding agents and developers. Builds a knowledge graph of your codebase from 26 languages and frameworks, searches it by keyword and meaning, navigates it through 21 language servers, and keeps a Context Graph of decisions and standards linked to the code. One MCP server of 75 tools. Fully local and private.

Retrieve CVEs and index them inside your codebase. Offline CVE + exploit intelligence: one SQLite index, one CLI, one MCP server.

AI-native technical intelligence platform — codebase scanning, spec generation, Q&A, security analysis, and PR review powered by Claude

SIMD-accelerated, single-pass codebase intelligence fabric for AI agents. Offload multi-keyword scans and AST context-pruning to native silicon.

Codebase intelligence for AI. Detects patterns & conventions + remembers decisions across sessions. MCP server for any IDE. Offline CLI.

Transform your codebase into an intelligent knowledge base for AI-powered development with Cursor IDE, Google AntiGravity, and MCP-enabled assistants

Graph-based code intelligence with MCP server for AI assistants. Tree-sitter parsing, semantic search, relationship analysis. Your codebase as a searchable knowledge graph.

Code intelligence MCP server — let AI assistants explore your entire codebase, find callers, and trace impact in one query.

Semantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-style linking, Context+ turns a massive codebase into a searchable, hierarchical feature graph.

Code intelligence for AI coding assistants — AST-level semantic code search with keyword boost. Index your codebase, search by meaning, keep everything local.

Modular MCP server for programmatic prompt engineering. Provides intelligent prompt assembly for PRD generation, codebase analysis, and bug analysis with support for 31 technology stacks.

An AI-powered accessibility compliance suite that audits live websites and codebases against WCAG, ADA, Section 508, and EAA — combining automated rule engines with LLM intelligence for contextual analysis and remediation.

An intelligent, AI-driven codebase analytics engine powered by Retrieval-Augmented Generation (RAG). It performs precise repository analysis with hybrid search. language-aware AST chunking, exact line-level citations, and MCP (Model Context Protocol) tools for seamless integration with IDEs and AI agents.

A professional-grade MCP server for cleaning Git repositories. Automate secret audits with TruffleHog, sanitize history using git-filter-repo, and intelligently squash noise commits to transform messy dev logs into clean, production-ready codebases.

Persistent code intelligence for MCP with native graph, vector, full-text, and cross-repository search.

Local code intelligence and project memory for Codex and Claude Code. Explore TypeScript, JavaScript and Prisma through call graphs, model usage and source context. Project-scoped MCP server with a shared CLI.

Local-first code intelligence over MCP: BM25/FTS5 + AST graph, impact analysis, project memory and safe writes. Text-first by default; optional dense. Works with OpenCode and Zed.

Stacklit: AI Codebase Indexing 2026 – Zero-Setup Local Repo Mapping for Agents

Local code intelligence for developers and AI agents. Connect code, docs and infrastructure in a persistent graph, with CBM Lens, MCP tools, agent integrations and change-aware test selection.

Code knowledge graph and MCP search server with tree-sitter parsing, vector + reranker retrieval, and bitemporal knowledge.

Unofficial Termux (Android/bionic) builds of codebase-memory-mcp, auto-built with GitHub Actions for arm64, arm, x86_64 and x86.

Codebase Context gives AI agents understanding of your codebase through semantic code search, team conventions, patterns, and memory, so they use fewer tokens, spend less time, and produce better, more familiar output.

Trace SQL Server tables to C# callers, controller actions, and Razor pages locally. MCP server and CLI with confidence labels. MIT.

Your AI agent writes code — but does it know WHY your code exists? Decision provenance, quality contracts, and AI anti-pattern detection for coding agents.

Your AI agent writes code — but does it know WHY your code exists? Decision provenance, quality contracts, and AI anti-pattern detection for coding agents. 19 languages. MCP compatible.