MCP server for pre-build MSBuild project graph analysis — dependency graphs, TFM compatibility, shared imports, configuration diffs

Local knowledge graph for any project: zero-dependency indexer + 7-tool MCP server for Claude Code + live neumorphic graph UI. Cuts Claude token usage 8-10x.

Open-source, local code intelligence and dependency graph for cross-repository impact analysis. Map APIs, events, schemas, packages, databases, and ownership for AI coding agents via MCP.

Give humans and AI agents the same map of your codebase: dependency graph, complexity and code-smell metrics, MCP server. Ten languages, Rust engine, VS Code + CLI.

Local code architecture graph for Python and TypeScript: trace events, contracts, dependencies, and change impact with source evidence.

GRASP — Code architecture visualizer + 150-tool MCP server. Dependency graphs, security scanning, multimodal knowledge graph, ORM tracking, git change impact, graph schema v3. Works with GitHub, GitLab & local dirs. 35 languages. Zero data collection.

17 MCP query tools for codebase navigation — functions, classes, imports, dependency graphs, change impact. Zero dependencies. 87% token reduction.

AI code impact analysis MCP server — dependency graphs, cascade detection, and a mandatory build gate for AI coding agents

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

Dependency graph, blast-radius analysis, and pre-commit safety gates for AI coding agents. MCP server.

Multi-language repository map for agents and humans: MCP tools, dependency graphs, symbol indexes, impact review, and bounded source evidence.

🧠 CogniVault - Lightweight AI Agent Semantic Memory Engine | 轻量级AI Agent语义记忆引擎 - Zero Dependencies, TF-IDF+BM25 Hybrid Search, Memory Lifecycle, Knowledge Graph, MCP Server

Offline, package-aware Oracle PL/SQL code intelligence in Rust — change impact, dependency graph, honest uncertainty, self-healing coverage

Structural code intelligence for AI agents. Scan once, query everything — dead exports, circular imports, dependency graphs, and more. CLI + MCP server.

Real-time code quality gates & dependency graph for AI-assisted development. MCP server for Claude Code, GitHub Copilot, and any MCP-compatible agent.

150-tool MCP server for codebase analysis — dependency graphs, architecture layers, security scanning, refactor plans, git history, and more. Works with GitHub and GitLab repos (cloud + self-hosted) and local directories.

🔐 The secrets manager that understands your dependency graph. Maps Issuer → Credential → Project → Deployment → URL. Detects supply-chain risk in npm/Cargo deps. Free, open source, works offline.

Graph-structured tool retrieval for LLM agents — zero-dependency, ontology-aware hybrid search

MCP server for reading and editing Excel workbooks on SharePoint/OneDrive via Microsoft Graph — base-checked writes, read-back verification. Zero dependencies.

MCP server for reading and editing Excel workbooks on SharePoint/OneDrive via Microsoft Graph: base-checked writes, read-back verification, fills. Zero dependencies.

MCP server for AI coding agents. Instead of reading files one by one, your agent gets dependency graphs, git intent, blast radius, and change health in a single call. Works with any language deep analysis for TypeScript,Java, Go, and C#.

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.

Infers architecture rules from your TypeScript repo's real import graph, gates each on statistical evidence, and emits them into the tools you already use (ESLint, dependency-cruiser, ts-arch). Turns the boundaries your code already follows into enforcement, so architecture drift gets caught, not just documented.

Structural code graph server for AI agents — parses repositories into a Neo4j graph via tree-sitter and exposes it as an MCP tool interface with lexical, referential, semantic, and dependency queries.

A living architecture map of any codebase, derived from its import graph and commit history: what depends on what, what changes together, and who knows the part you are about to touch. A VS Code extension and an MCP server. Nothing to write, nothing to keep up to date.

Multi-language code parser (Python, Rust, JS/TS, Go, Java, C/C++) that extracts dependency graphs and stores them locally in SQLite. Provides three access methods: CLI for direct queries, REST API for programmatic use, and MCP server for IDE integration with Claude or Cursor.

Persistent project intelligence for AI coding agents — code indexing, dependency graphs, and context retrieval. | 面向 AI 编码智能体的确定性认知基础设施：代码图谱、文档生命周期与紧凑上下文检索。

Save up to 40% on agent token costs with code graphs: call graphs, dependency graphs, dead code detection, and blast radius analysis.

Persistent knowledge memory and code dependency graph for AI agents - Rust, Postgres, pgvector, MCP

A typed, provenance-aware knowledge graph over an Obsidian vault, exposed to coding agents over MCP. Zero third-party runtime dependencies.

Deterministic tree-sitter + SQLite/FTS5 code knowledge graph for coding agents and developers: symbols, calls and dependencies over a CLI, an MCP server and a local browser viewer. No AI/LLM inside; byte-stable output.

Zero-dependency repo-indexing engine: deterministic walk + symbol/import extraction (tree-sitter AST with regex fallback) + typed cross-file link-graph + analytics. One vendorable engine.mjs, CLI + MCP server included.

A queryable code graph for Laravel applications, exposed over MCP - dependency injection, container bindings, routes, views, Eloquent relations, connected the way generic AST tools cannot see.

A zero-dependency, local, interactive call-graph navigator for Python codebases. One script in, one self-contained HTML file out

MCP server for real-time package health, vulnerability scanning & dependency graphs — works inside Claude, Cursor, and any MCP-compatible client.

Human-in-the-loop comment automation for Instagram, Facebook & YouTube — CLI + zero-dependency MCP server (Meta Graph API, YouTube Data API, review queue, LLM-drafted replies)

Local-first persistent memory for AI agents. SQLite + sqlite-vec. Semantic search, graph relationships, anti-hallucination. Zero cloud dependency.

MCP server to search and inspect Substreams packages — browse the registry and introspect .spkg module graphs, protobuf types, and DAG dependencies

Git DAG indexing, AST symbol graphs, and hybrid semantic code search MCP server for AI coding agents (Claude Code, Cursor, Windsurf). Maps repositories into PostgreSQL + pgvector with recursive caller/callee dependency graphs and temporal recency decay.

Package & dependency intelligence for AI coding agents. Free npm, PyPI and crates.io health, vulnerability, dependency-graph and download data over MCP; consolidated risk scores paid per-call in USDC via x402.

Explainable, vectorless RAG for AI agents: BM25 + temporal knowledge graph over your files, served over MCP. R@5 0.977 on LongMemEval-S, ~2 ms queries, 0 LLM calls, zero dependencies.

Zero-dependency Python MCP server for Meta Graph, Instagram Pro & Threads publishing, auto-chained replies, and idempotent Comment-to-DM delivery.

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.

Kern , The local, deterministic code-intelligence engine for AI agents. Fast AST indexing, precise dependency graphs, sandboxed execution, and MCP tools with zero network calls and zero telemetry.

Own your AI memory, don't rent it. A native Claude Code skill AND a standalone, zero-dependency MCP server over one local SQLite file. git clone and go — full-text knowledge graph, plain-markdown, you own the data.

MCP server that indexes any codebase with tree-sitter into one local SQLite file — function inventory, call graph, call chains, module dependency graph, control-flow graph, impact analysis and dead-code detection for AI coding agents (Claude Code, Cursor,

Local-first hybrid semantic code search with dependency graphs and cross-repo search

Local dependency graphs and context intelligence for AI coding agents.

AI-powered Product Requirements Document manager — MCP server, Next.js dashboard, Claude chat, dependency graphs, real-time collaboration

Give Claude eyes on your Gradle build via MCP — dependency graphs, build scans, cache health, and test summaries, no more pasting logs.

The Private Context Layer & Super Brain for Your Codebase. Give AI agents persistent memory, deep dependency graphs, and instant code context

Persistent project memory for AI coding agents — semantic search, AST-aware chunking, dependency graphs, and conversation history

MCP server for AgentPlanner — AI agent orchestration with planning, dependencies, knowledge graphs, and human oversight

MCP server: searchable access to any Git repo for AI assistants — symbols, dependency graphs, architecture analysis for 12 languages

MCP server that indexes codebases into a SQLite database, exposing file metadata, exports, dependency graphs, and per-file change tracking.

MCP server for structured AI reasoning — decompose problems into atomic thoughts with dependency graphs, confidence tracking, and interactive D3.js visualization

Local MCP code search that cuts AI agent tokens: AST chunks, CPU reranking and a dependency impact graph. -63.9% tokens measured.

Structural code-intelligence engine in Zig — tree-sitter across 40+ languages, trigram and inverted indexes, dependency graph, exposed as an MCP server

MCP server that gives AI coding agents persistent, structured repository knowledge — incremental tree-sitter indexing, dependency & call graphs, semantic summaries, hash-driven cache. C++23.

MCP server + CLI that makes AI coding assistants smarter — persistent memory, drift detection, goal tracking, dependency graphs. Zero API calls. 125 tests. 42 tools.