G

Gortex

High-performance code-intelligence engine for AI agents and IDE, supports 257 languages, multi repositories, based on graph, with access via CLI, MCP Server, and API. AI coding agents teammate - expose only needed information, cutting token usage up to 50x. 100% local. Discord: https://discord.gg/39MFHu3J5d

  • UnverifiedWe have not yet confirmed this server installs or runs.
  • Health: Not checked yetWe have not completed a health check for this listing yet.No health check has run yet.
  • Coding Agents
  • 1.9kstars
  • No ratings User RatingsBe the first to rate and review this MCP server!
  • UpdatedOct 27, 2026
  • Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.

Install Gortex

Pick your client, then add it in one click or paste the config.

No confirmed install command yet

We only publish a config when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for gortex, and we’d rather show nothing than a guess you’d paste into your client.

Open setup steps on GitHub

Overview

Security & health

What it can reach and how reliably it runs β€” from our own checks, not the maintainer’s claims.

Not checked yetNo health check has run yet.

We have not completed a health check for this listing yet.

From the project README

Gortex

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 β€” no dependency chain, simple installation and use.


CI Latest release Sigstore signed SLSA 3 VirusTotal macOS Linux Windows

MCP Toplist OpenSSF Scorecard Go Reference Discord
zzet%2Fgortex | Trendshift

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 50Γ— 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 β€” see docs/agents.md.

Gortex Web UI β€” force-directed knowledge graph visualization

Gortex Web UI β€” force-directed knowledge graph visualization

Why it matters

  • 50Γ— fewer tokens per response β€” 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 β†’ docs/languages.md
  • Cross-repo by default β€” N repos in one graph; contracts, references, and call chains span repo boundaries with evidence-gated resolution, contract matching, impact analysis, per-session isolation β†’ docs/multi-repo.md
  • Extreamly fast analysis β€” a precomputed depth-3 reach index turns blast-radius queries into O(seeds Γ— 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 β€” single binary, everything in-process. No network, no model download to get started. Install, start daemon, use.
  • Agent integrations (20) β€” gortex init configures every detected coding assistant on the machine β†’ docs/agents.md
  • 100+ MCP tools, 16 resources, 3 prompts β€” symbol lookup, call chains, blast radius, dataflow, clone detection, refactoring, code actions β†’ docs/mcp.md
  • Semantic search default-on β€” baked GloVe-50d (3.8 MB embedded), store-native FTS5/BM25 + vector with adaptive alpha fusion, zero deps; opt-in MiniLM / Ollama / OpenAI β†’ docs/semantic-search.md
  • Speculative execution β€” preview_edit / simulate_chain answer "what would change if I applied this WorkspaceEdit?" without touching disk
  • Live editor overlays β€” push unsaved buffers as a shadow graph; tools read through it. Branching for parallel speculative sessions
  • GCX1 wire format β€” published, round-trippable. An additional βˆ’27% tokens vs JSON at same fidelity β†’ docs/wire-format.md
  • Long-living daemon β€” one process serves every IDE window; live fsnotify, an on-disk SQLite graph store, incremental restart, OS-supervised lifecycle
  • 10 LLM providers (optional) β€” local llama.cpp, Anthropic, OpenAI, Ollama, Claude / Codex CLI subprocess, Gemini, Bedrock, DeepSeek, Requesty β†’ docs/llm.md
  • Composable safety β€” verify_change, check_guards, audit_agent_config flag broken callers, guard violations, stale docs before they ship
  • PR review, end to end β€” 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 β†’ docs/cli.md
  • HTTP server + Web UI β€” versioned /v1/* API + MCP 2026 Streamable HTTP; standalone Next.js 15 UI with five 3D graph modes β†’ docs/server.md
  • Telemetry off by default β€” 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 β†’ docs/telemetry.md

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

Install

bash
# 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

bash
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 typeDetectionProviderConsumer
HTTP routesFramework annotations (gin, Express, FastAPI, Spring, …)Route handlerHTTP client calls (fetch, http.Get)
gRPCProto service definitionsService RPCClient stub calls
GraphQLSchema type/field definitionsSchemaQuery/mutation strings
Message topicsKafka / RabbitMQ / NATS / Redis pub/subPublish callsSubscribe calls
WebSocketEvent emit/listen patternsemit()on()
Env varsos.Getenv, process.env, .env filesSetenv / .envGetenv / process.env
OpenAPISwagger / OpenAPI spec filesSpec paths(linked to HTTP routes)
Temporal workflowsGo / Java SDK annotationsActivity / workflow functionExecuteActivity / 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 β€” battle-tested on large repos

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

RepositoryFilesNodesEdgesIndex timeThroughputPeak heap
torvalds/linux70,3331,690,1746,239,570~3 min300 files/s5.07 GB
microsoft/vscode10,762204,501808,902~1 min143 files/s580 MB
zzet/gortex (self)4305,58353,8303.4s127 files/s52 MB

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

Token savings dashboard

Reviews

No reviews yet β€” be the first to share how it worked for you.

Frequently Asked Questions about Gortex

We don't have a confirmed install command for gortex yet, so we don't publish a generated one β€” a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/zzet/gortex) for the current steps.

High-performance code-intelligence engine for AI agents and IDE, supports 257 languages, multi repositories, based on graph, with access via CLI, MCP Server, and API. AI coding agents teammate - expose only needed information, cutting token usage up to 50x. 100% local. Discord: https://discord.gg/39MFHu3J5d

We don't have confirmed pricing for gortex. Listing it on AllMCPs is free, but that says nothing about what the server itself costs β€” check the project's own site for current pricing.

Related MCP servers

Add a badge to your READMEShow it’s listed β€” live SVG, Markdown or HTML.

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:
Live Dynamic SVG PreviewGortex AllMCPs Directory Badge
Markdown (GitHub README)
[![AllMCPs](https://allmcps.com/api/badge/gortex?style=directory)](https://allmcps.com/mcp/gortex)
HTML Embed
<a href="https://allmcps.com/mcp/gortex"><img src="https://allmcps.com/api/badge/gortex?style=directory" alt="Gortex on AllMCPs" /></a>