An MCP server that provides code structure and semantic analysis capabilities through Abstract Syntax Trees (AST) and Abstract Semantic Graphs (ASG)

Field-level semantic impact analysis for Claude Code — see the ripple effect of any code change

MCP server for semantic Java code analysis, built on Eclipse JDT. Provides 63 tools for navigation, refactoring, and code intelligence.

MCP server for AI assistants to navigate, search, and edit large codebases, logs, and data files with semantic code analysis

MCP server for code context with semantic search, AI analysis and summary

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

MCP server for semantic code search and codebase analysis — Treesitter parsing, AST extraction, and embedding-based indexing for any LLM that supports MCP

Extensible Python code intelligence MCP server for semantic analysis and navigation

Semantic code index and gatekeeper for AI coding agents. No LLMs — just static analysis.

字段级语义变更影响分析 MCP Server | Field-level semantic change impact analysis MCP server for Claude Code — pip install ripple-impact-mcp

Persistent memory for AI coding — semantic search, git history analysis, and intelligent context preservation

Semantic code intelligence MCP server for Claude Code - project maps, symbol search, impact analysis, and more

Knowledge graph builder & MCP server for AI code assistants: search, impact analysis, semantic similarity, and architecture visualization

Code intelligence MCP server for AI coding agents with impact analysis, semantic search, dependency graphs, and local release gates

Semantic code graph for AI agents — deterministic FQN resolution, impact analysis and architectural drift gates, exposed over MCP.

MCP server for semantic code search and codebase analysis — AST parsing, Tree-sitter, embeddings and vector search for AI assistants and LLMs

Turn your codebase into a knowledge graph. 11 MCP tools for AI code assistants — search, impact analysis, shortest path, semantic similarity, and more.

MCP server providing semantic Java code analysis for AI agents. Built on Eclipse JDT with tools for navigation, refactoring, search, and metrics.

AIContextBuilder (AICB): semantic code intelligence for AI coding agents on C#/.NET (dotnet). Roslyn MCP server and CLI: change impact, static analysis, code navigation (callers, implementations, dependency injection, tests, side effects, dead code) and context engineering. For Claude Code, Codex, OpenCode, Cursor; Windows desktop app included.

Code intelligence CLI — function-level dependency graph across 34 languages, 34-tool MCP server for AI agents, complexity metrics, architecture boundary enforcement, CI quality gates, git diff impact with co-change analysis, hybrid semantic search. Fully local, zero API keys required.

Deep code indexing MCP server for AI agents. 25 tools: hybrid FTS5 + embedding search, call graphs, git blame/hotspots, build system analysis. Multi-repo workspaces, GPU-accelerated semantic search, 10 languages via tree-sitter. Fully local, zero cloud dependencies.

codegraph is a local-first code context engine and MCP server for repositories. It incrementally indexes source code into a lightweight SQLite graph, then exposes high-signal tools for symbol lookup, call graph traversal, impact analysis, related test discovery, and semantic search. Built in Go with a single-binary workflow, it is designed to work

MCP server that gives AI assistants deep codebase understanding. Semantic graph, BM25 search, impact analysis, code review.

High-performance MCP server for AI coding agents: persistent knowledge graph, blast radius analysis, semantic search. Built in Rust.

Open-source AI research assistant for VS Code + GitHub Copilot. Connects to PubMed, OpenAlex, Semantic Scholar, Europe PMC, CrossRef, and Zotero via MCP servers. Custom agents guide systematic reviews, academic writing, data analysis, and project management — all ICMJE-compliant with full audit trails.

Local code intelligence engine — three-tier FAISS + SQLite index with 10 MCP tools for semantic code search, blast radius analysis, and architectural investigation

Roslyn-powered C# MCP server for AI agents. Enables semantic code analysis, precise diagnostics, and safe refactoring without full rebuilds.

SwiftLens is a Model Context Protocol (MCP) server that provides deep, semantic-level analysis of Swift codebases to any AI models. By integrating directly with Apple's SourceKit-LSP, SwiftLens enables AI models to understand Swift code with compiler-grade accuracy.

MCP server for Claude Code, powered by the v4 semantic runtime: builds persistent, budget-aware repository intelligence from AST/graphs, serves bounded context packages, preserves agent state across /compact, and provides end-to-end edit impact analysis in a single Rust binary.

Booster MCP is an MCP server for semantic code analysis, repository mapping, and large codebase navigation. This release prepares the project for public use with a cleaner package identity, bundled agent skills, and a smoother out-of-the-box experience.

SAP ABAP MCP is a local-first Model Context Protocol server that enables AI coding agents to develop, test, analyze, and operate SAP ABAP systems through the official ABAP Development Tools HTTP services. It supports repository search and source editing, structured DDIC workflows, enhancement inspection, paged package navigation, source-backed object creation, semantic services, activation, ABAP Unit and ATC, transports, abapGit, RAP generation, debugging, bounded class and executable-program profiling, runtime dumps, traces and feeds, cross-system comparison, dependency analysis, guarded refactoring, and an opt-in same-origin Screen/GUI Status bridge. Curated compact, development, and assurance presets reduce tool-schema token use without removing capabilities from the default surface. The default local stdio mode can be extended with governed self-hosted Streamable HTTP, API-key roles, OIDC/JWT authentication, request-scoped SAP bearer forwarding, per-session isolation, rate limits, structured audit logs, or a side-effect-free embeddable Node.js API. It also includes browser OAuth Authorization Code with PKCE, a read-only transport assurance CLI and GitHub Action, BTP service-key profile import, and live-SAP evidence tooling. SAP profiles and credentials remain on the user's computer, with passwords and OAuth credentials protected by macOS Keychain or Windows DPAPI. SAP-dependent capabilities are validated against the user's own SAP release, configuration, and authorizations.

MCP server for GDScript semantic analysis via Godot's built-in language server

MCP server enabling symbol-aware semantic search in Claude Code

Codebase graph analysis for AI agents — AST + call graph + type graph + hybrid semantic search via MCP

Codebase graph analysis for AI agents — AST + call graph + type graph + hybrid semantic search via MCP

MCP for semantic code search & navigation that reduces token waste

Semantic-diff-aware code intelligence for AI coding assistants

High-performance knowledge graph MCP server for AI coding agents with semantic search.

MCP server giving AI agents Godot's own view of a GDScript project: navigation, diagnostics, engine API, and scene verification

Contextro — AI-native code intelligence MCP server: hybrid search, code graph, semantic memory, commit history, progressive disclosure, AST compression

A local MCP server for cross-repository semantic code intelligence in TypeScript and Go, backed by a persistent LadybugDB graph.

MCP server that builds code graphs to provide rich context to LLMs

Local-first code and project-text retrieval, source-backed symbol analysis, caller-controlled web discovery, and MCP for SDK clients

MCP server that builds code graphs to provide rich context to LLMs

Code Search and MCP server for AI coding agents. Instant Token Reduction.

Model Context Protocol server for znt-core through @znt/sdk-nodejs

Model Context Protocol server for znt-core through znt-sdk-nodejs

A memory of the codebase your AI agent can't get from grep: a persistent call graph, semantic search, and per-symbol review learnings over any repo. Self-hosted MCP server — Go, tree-sitter, Apache AGE.

Persistent intelligence infrastructure for agentic development

Universal code intelligence: index any project with 50 language analyzers, query via CLI or any MCP host (Claude Code, Cursor, VS Code).

Persistent intelligence infrastructure for agentic development

Lightweight code indexing and semantic search engine that helps AI agents write code faster while using fewer tokens. Parses codebases with Tree-sitter AST to generate structured headers, with optional LLM insights and vector embeddings. Integrates via MCP server or CLI. Supports TypeScript, JavaScript, C#

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.

A sub-harness (both an MCP server and an MCP client). Delegates documentation and source code analysis, as well as interactions with related context-providing MCP servers, to a local or inexpensive OpenAI-compatible LLM. Drastically reduces token usage and context size for coding agents on the top-tier LLM.

CodeMap is a Roslyn-powered MCP server that lets AI agents navigate C# codebases by symbol, call graph, and architectural fact — instead of brute-reading thousands of lines of source code. One tool call. Precise answer. No context flood.

Local-first code graph: index a repo into an import/symbol graph and retrieve the relevant slice instead of whole files. Ships as a CLI, an MCP server for AI agents, a TypeScript API, and a VS Code chat participant.

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

Native MCP for coding agents: 43 read-only repository-intelligence tools with typed evidence, impact, architecture, APIs, Git, search, semantics, and memory.

Token-efficient codebase graph engine for AI coding agents. Tree-sitter parsing, SQLite semantic graph, impact tracing, and an MCP server with zero-config auto-indexing.

MCP server that gives AI agents semantic search tool. Builds AST, call graphs, type graphs, and hybrid semantic search — so your agent queries structured indexes instead of dumping files into context. 7 languages. Zero config. One command setup.