Gortex MCPサーバー

High-performance and efficient code-intelligence engine for AI agents and IDE

Indexes code into graph and exposes it via CLI, MCP Server, and web UI. Multi-repository support by default.

Single static binary for macOS, Linux, and Windows — no dependency chain, simple installation and use.

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[!IMPORTANT] Gortex has no cryptocurrency token or coin. We have not issued, authorized, or endorsed any cryptocurrency token, coin, token sale, or airdrop. Any claims of an official Gortex token or an affiliation with such projects are false. Verify announcements through the official Gortex repository.

High-quality parsing 257 languages/grammars through tree-sitter AST analysis, in-process resolvers, enhanced with compiler-grade resolution for Python, TypeScript / JavaScript, PHP, C#, Go, C, C++, Java, Kotlin, Swift, Zig, Rust, Ruby, Elixir, Ocaml, Haskell, and others - producing a persistent provenance-tiered knowledge graph of functions, classes, call chains, HTTP routes, and cross-service contracts and calls with a strong confidence model. 175 (configurable) MCP tools - use only what you need. Zero dependencies. Plug and play across 19 coding agents. Up to 50× fewer tokens per response. Reproducible benchmarks.

19 AI coding agents (Claude Code, Kiro, Cursor, Windsurf, VS Code / Copilot, Continue.dev, Cline, OpenCode, Antigravity, Codex CLI, Gemini CLI, Zed, Aider, Kilo Code, OpenClaw, Hermes, Oh My Pi, Pi, Kimi) supported out of the box.

One install configures every one detected on your machine — see docs/agents.md.

Why it matters

• 50× fewer tokens per response — graph-native lookups beat naive file reads. Agents read just what they need, not the full file, not the 500-line file around it.
• Full development cycle - no 'read file before edit'. Agents ask for sources, tell what to change, and don't waste context of reading noise.
• 257 languages/grammars - every file in the repository reachable; no mix of tools and bloating/hallycinating agents. Three tiers (bespoke tree-sitter, regex, forest-backed signatures) plus Jupyter and Databricks notebooks → docs/languages.md
• Cross-repo by default — N repos in one graph; contracts, references, and call chains span repo boundaries with evidence-gated resolution, contract matching, impact analysis, per-session isolation → docs/multi-repo.md
• Extreamly fast analysis — a precomputed depth-3 reach index turns blast-radius queries into O(seeds × reach) map lookups. Safe to ask "what breaks if I change this?" on every edit. No dozens of tool calls to grasp context.
• Zero external dependencies — single binary, everything in-process. No network, no model download to get started. Install, start daemon, use.
• Agent integrations (20) — gortex init configures every detected coding assistant on the machine → docs/agents.md
• 100+ MCP tools, 16 resources, 3 prompts — symbol lookup, call chains, blast radius, dataflow, clone detection, refactoring, code actions → docs/mcp.md
• Semantic search default-on — baked GloVe-50d (3.8 MB embedded), store-native FTS5/BM25 + vector with adaptive alpha fusion, zero deps; opt-in MiniLM / Ollama / OpenAI → docs/semantic-search.md
• Speculative execution — preview_edit / simulate_chain answer "what would change if I applied this WorkspaceEdit?" without touching disk
• Live editor overlays — push unsaved buffers as a shadow graph; tools read through it. Branching for parallel speculative sessions
• GCX1 wire format — published, round-trippable. An additional −27% tokens vs JSON at same fidelity → docs/wire-format.md
• Long-living daemon — one process serves every IDE window; live fsnotify, an on-disk SQLite graph store, incremental restart, OS-supervised lifecycle
• 10 LLM providers (optional) — local llama.cpp, Anthropic, OpenAI, Ollama, Claude / Codex CLI subprocess, Gemini, Bedrock, DeepSeek, Requesty → docs/llm.md
• Composable safety — verify_change, check_guards, audit_agent_config flag broken callers, guard violations, stale docs before they ship
• PR review, end to end — gortex prs triages open PRs (per-PR blast radius, merge-order conflicts via shared communities, AI-ranked queue, reviewer suggestions); gortex review emits line-anchored findings with a BLOCK/REVIEW/APPROVE verdict from a graph-grounded rulepack; MCP tools (pr_risk, get_pr_impact, review, review_pack, post_review, …) expose it to agents → docs/cli.md
• HTTP server + Web UI — versioned /v1/* API + MCP 2026 Streamable HTTP; standalone Next.js 15 UI with five 3D graph modes → docs/server.md
• Telemetry off by default — opt-in anonymous tool/command counts only (no code, paths, names, or exact counts); nothing transmitted unless you configure an endpoint. gortex telemetry on|off|status; honours DO_NOT_TRACK → docs/telemetry.md

Full catalog of features: docs/features.md. Complete CLI reference: docs/cli.md.

Install

# macOS / Linux
curl -fsSL https://get.gortex.dev | sh

# Windows (PowerShell)
irm https://get.gortex.dev/install.ps1 | iex

Detects OS/arch, verifies SHA256 + cosign, installs to PATH. Re-run to upgrade. Homebrew, .deb / .rpm / .apk, scoop, signed binaries, and from-source builds: docs/installation.md.

Quick Start

gortex install                          # one-time machine setup (MCP, skills, slash commands)
gortex daemon start --detach            # background daemon
gortex track ~/projects/myapp           # add a repo
cd ~/projects/myapp && gortex init      # per-repo: .mcp.json, hooks, community routing

Your AI assistant now uses graph queries. Full 15-minute walkthrough: docs/onboarding.md.

Cross-Repo API Contracts

Gortex auto-detects API contracts across repos and matches providers to consumers, surfaced via the contracts MCP tool and the web UI Contracts page.

Contract type	Detection	Provider	Consumer
HTTP routes	Framework annotations (gin, Express, FastAPI, Spring, …)	Route handler	HTTP client calls (fetch, http.Get)
gRPC	Proto service definitions	Service RPC	Client stub calls
GraphQL	Schema type/field definitions	Schema	Query/mutation strings
Message topics	Kafka / RabbitMQ / NATS / Redis pub/sub	Publish calls	Subscribe calls
WebSocket	Event emit/listen patterns	emit()	on()
Env vars	os.Getenv, process.env, .env files	Setenv / .env	Getenv / process.env
OpenAPI	Swagger / OpenAPI spec files	Spec paths	(linked to HTTP routes)
Temporal workflows	Go / Java SDK annotations	Activity / workflow function	ExecuteActivity / ExecuteChildWorkflow

Contracts are normalised to canonical IDs (e.g. http::GET::/api/users/{id}) and matched across repos to detect orphan providers / consumers and mismatches. See docs/contracts.md.

Scale — battle-tested on large repos

Measured on an Apple Silicon laptop with the default CGO build.

Repository	Files	Nodes	Edges	Index time	Throughput	Peak heap
torvalds/linux	70,333	1,690,174	6,239,570	~3 min	300 files/s	5.07 GB
microsoft/vscode	10,762	204,501	808,902	~1 min	143 files/s	580 MB
zzet/gortex (self)	430	5,583	53,830	3.4s	127 files/s	52 MB

Parsing dominates wall time (65–80 %); reference resolution and search-index build scale sub-linearly.

Token savings dashboard

gortex savings reports tokens saved vs naive file reads — per-call, per-session, and cumulative across restarts, priced in USD against the headline model.

Gortex Token Savings
====================
Cost avoided:   $168.69 (claude-opus-4) across 1,878 calls · 11,246,094 tokens saved

Today       ████████░░░░░░░░   50.0%  saved 9,200 / 18,400 tokens   $0.14
Last 7 days ██████████░░░░░░   62.5%  saved 60,100 / 96,200 tokens  $0.90
All time    ███████████████░   93.3%  saved 11,246,094 / 12,050,716 tokens  $168.69

--verbose adds the per-tool breakdown; --json is machine-readable. Full reference: docs/savings.md.

Architecture

gortex binary
  CLI (cobra)    ──> MultiIndexer ──> Graph store (SQLite, shared, per-repo indexed)
  MCP (stdio)    ──────────────────> Query Engine (repo/project/ref scoping)
  HTTP /v1/*     ──────────────────> same tools + /v1/graph + /v1/events (SSE)
  Daemon (unix)  ──────────────────> shared graph for every MCP client, session isolation
                  MultiWatcher    <── filesystem events (fsnotify, per-repo)
                  CrossRepoResolver ──> cross-repo edge creation (type-aware)
                  Persistence     ──> the same SQLite store, written as it indexes

Data flow, graph schema (node and edge kinds, multi-repo fields, test taxonomy), persistence model: docs/architecture.md.

Documentation

Topic	Reference
First-time walkthrough	onboarding.md
Installation & supply-chain verification	installation.md
Full feature catalog	features.md
CLI reference	cli.md
MCP tools, resources, prompts	mcp.md
Multi-repo workspaces	multi-repo.md
HTTP server + Web UI + MCP 2026 transport	server.md
Cross-repo API contracts	contracts.md
Semantic search	semantic-search.md
Optional LLM features	llm.md
LSP integration	lsp.md
Per-community skills & agent usage	skills.md
AI agent adapters (20)	agents.md
Supported languages (257)	languages.md
Token savings	savings.md
GCX1 wire format	wire-format.md
Architecture & graph schema	architecture.md
Evaluation methodology	04-evaluation/
Telemetry & privacy	telemetry.md
Versioning policy	versioning.md

Building from source

make build          # binary with version stamping
make test           # go test -race; PKGS=./internal/<pkg>/... narrows it
make lint           # golangci-lint

Requires Go 1.26+ and CGO (for tree-sitter C bindings).

License

Apache License 2.0. See LICENSE.md. Copyright 2024-2026 Andrey Kumanyaev me@zzet.org.

Contributing

See CONTRIBUTING.md for guidelines on adding features, language extractors, and submitting PRs.

New contributors are very welcome — join us on Discord and introduce yourself. It's the easiest place to ask questions, check whether someone is already working on something, and get feedback on a design before you write the code.