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Octocode MCP - AI Context Platform

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AI code research platform. Search, analyze, and extract insights from any GitHub repository.

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Описание

AI code research platform. Search, analyze, and extract insights from any GitHub repository.

README

Evidence-first code research for AI agents and developers.

Evidence from your local workspace and external sources (GitHub repos, PRs, npm). One toolset: ripgrep + AST search, trees, precise reads, and LSP — as a CLI or MCP server, backed by a Rust engine for fast, token-efficient results across single files or mega-repos.


Table of Contents


Quick Start

1. Run the Octocode CLI with npx

npx octocode --help

2. Authenticate with GitHub — optional, but unlocks private repositories and higher API rate limits:

npx octocode auth login
npx octocode status       # verify the active token source

3. Choose your interface. The same engine and 12 tools run identically either way.

🖥️ CLI — research straight from your terminal:

npx octocode

🤖 MCP — one-click install:

  • Install in Cursor
  • Install in VS Code
  • Install in VS Code Insiders
  • Install in Windsurf
  • Install in Kiro
  • Install in Goose
  • Install in LM Studio

Claude Code:

claude mcp add-json octocode --scope user '{"command":"npx","type":"stdio","args":["@octocodeai/mcp@latest"]}'

Any other client: npx octocode install

➡️ Learn more at octocode.ai.


Why Octocode

Agents write better code from evidence than from assumptions. Octocode turns guess-driven work into research-driven work. Before an agent changes, reviews, or explains code, it gathers real evidence from your local workspace and from GitHub repositories, pull requests, and npm packages, then hands it back as compact, citable context. Code is truth; context is the map.

Most tools cover one slice: searching the web, or grepping your repo. Octocode covers the whole research flow, end to end:

  • Built for scale. In organizations with thousands of repositories and endless code, Octocode is the solution: spot a pattern in one repo, follow it through the pull request that introduced it, then trace the same shape across other repos and your own files without leaving the conversation. Clone any repo and study it locally, on any machine.
  • Smart GitHub workflows. Parallel bulk queries and built-in next-step hints keep the agent on the cheapest path: search broadly, read narrowly, trace semantically. Each result points to the natural follow-up.
  • No GitHub required. Even without GitHub, clone any repository locally and point Octocode's local tools (search, structural AST, LSP, content) at it for the same evidence-first research.
  • Reads the shape, not the noise. Code is minified and skeletonized on the fly across 70+ languages, so an agent grasps a 100 KB file in a few hundred tokens instead of spending its context on boilerplate.
  • Fast and self-contained. Search, parsing, semantic navigation, and redaction run in one prebuilt Rust engine: quick on a laptop or a mega-repo, with no extra toolchain to install.
  • Safe by default. Every byte returned to the model is scanned and secrets redacted first (see Security).

What You Can Do

Octocode is useful whenever the next coding step depends on finding and proving context, not guessing it.

Need Use Octocode to
Codebase questions Search local or GitHub code, read exact regions, browse trees, and carry file/line anchors into the answer.
Implementation research Compare patterns across repositories, npm packages, pull requests, commits, and local files before changing code.
Semantic navigation Resolve definitions, references, callers/callees, call hierarchy, hovers, symbols, diagnostics, and type relationships through LSP.
Structural matching Run AST-shaped searches with patterns or YAML rules so comments and strings do not become false positives.
Large-file context Minify, skeletonize, or paginate code so agents spend tokens on relevant structure instead of boilerplate.
Agent workflows Same engine via MCP, CLI, OQL, and Agent Skills.

See Quick Start to install in your terminal or AI assistant.


Tools

12 always-on tools (same on MCP and CLI). Local tools on by default (ENABLE_LOCAL=false to disable). ghCloneRepo is MCP opt-in (ENABLE_CLONE=true), CLI on by default. Flags: Configuration.

Token knobs. concise:true returns path/title-only lists. minify controls file read density: symbols = skeleton with line numbers, standard = comments/blanks stripped (default), none = exact bytes.

GitHub Tools

Tool What it does Knob
ghSearchCode Code and path search across GitHub by owner, repo, path, filename, extension, and match filters. Accepts 1 to 5 parallel queries. concise
ghGetFileContent Read a GitHub file or region: full file, line range, match slice, or paginated chars. minify
ghViewRepoStructure Browse a GitHub repository's directory tree before reading files.
ghSearchRepos Discover repositories by keywords, owner, topic, language, stars, forks, size, dates, license, visibility. concise
ghHistoryResearch Search PR history, or deep-read one PR: files, patches, comments, reviews, commits. concise
ghCloneRepo Clone a repo or sparse subtree into the local cache for local/LSP analysis. Opt-in (ENABLE_CLONE=true). sparsePath

Local Tools

Tool What it does Knob
localSearchCode Local code/text search returning file and line anchors. mode:"structural" runs Octocode AST shape queries (pattern or rule). mode
localViewStructure Browse a local directory tree: depth, filters, pagination, metadata. concise
localFindFiles Find local files and directories by name, path, regex, extension, size, time, permissions, type.
localGetFileContent Read a local file or region: exact slice, match string, line range, or paginated chars. minify

Package Search

Tool What it does Knob
npmSearch npm package lookup and keyword search; returns metadata and the source repository for GitHub handoff. concise

LSP

Tool What it does
lspGetSemantics Typed semantic navigation. Raw tools support definition, references, callers, callees, callHierarchy, hover, documentSymbols, typeDefinition, implementation, workspaceSymbol, supertypes, subtypes, and diagnostic. The CLI uses npx octocode search <file> --op <type> for semantics and npx octocode search <file> --symbols for file or directory symbol outlines. Navigation runs through installed language servers (see the LSP Tools Reference).

OQL Search

Tool What it does
oqlSearch Runs typed OQL queries across code, content, structure, files, semantics, repositories, packages, pull requests, commits, diff, research, graph, and materialization targets.

Full schemas, fields, and examples for every tool live in docs/OCTOCODE_TOOLS.md (linked under Documentation).


MCP

The MCP server exposes the Octocode tool catalog directly to your AI assistant over stdio.

https://github.com/user-attachments/assets/de8d14c0-2ead-46ed-895e-09144c9b5071

Manual Configuration

Add to your MCP client config. Pick the package that matches the version you want:

New Octocode (Rust-powered engine) — use @octocodeai/mcp:

{
  "octocode": {
    "command": "npx",
    "type": "stdio",
    "args": [
      "@octocodeai/mcp@latest"
    ]
  }
}

Classic octocode-mcp — use octocode-mcp:

{
  "octocode": {
    "command": "npx",
    "type": "stdio",
    "args": [
      "octocode-mcp@latest"
    ]
  }
}

Add a GitHub token and options under env — see Authentication and Configuration.


CLI

Same research engine, no MCP client needed. Local paths route to local tools; owner/repo[/path] routes to GitHub.

npx octocode auth login   # authenticate once
npx octocode status       # verify setup
npx octocode --help       # full usage

Commands

Search

Command What it does
npx octocode search <term> <path|owner/repo> Text, regex, AST structural (--pattern), or full OQL (--query)
npx octocode search <path|owner/repo> --tree Browse directory or repository structure
npx octocode search <file> Read file content; --content-view exact|compact|symbols or --raw
npx octocode search <file> --symbols Symbol outline for a file or source tree
npx octocode search --query <oql-json> Full OQL across all target types (code, commits, PRs, packages, …)

More commands

  • GitHub & npmnpx octocode search <…> --target repositories|packages|pullRequests|commits|diff
  • LSPnpx octocode search <file> --op definition|references|callers|callees|hover|diagnostic|callHierarchy (--symbol, --line to narrow)
  • Cache & clonenpx octocode clone, npx octocode cache fetch|status|clear
  • Skillsnpx octocode skill --list | --name <skill> | --add <github-path> | --install-all
  • Language serversnpx octocode lsp-server list|install|status|uninstall|clean
  • Setup & introspectionnpx octocode install, npx octocode auth, npx octocode status, npx octocode tools, npx octocode context

Full syntax, flags, and exit codes: Octocode CLI Guide


Configuration

Everything is optional; Octocode runs on sensible defaults. Settings resolve from three sources, in priority order:

environment variables  >  <octocode-home>/.octocoderc  >  built-in defaults
  1. MCP / environment variables (highest): per client or per project, set in your MCP config env or your shell.
  2. Global config: <octocode-home>/.octocoderc, machine-wide defaults read by both the CLI and the MCP server.
  3. Built-in defaults: used when neither is set.

Octocode home (<octocode-home>) holds the global config, encrypted credentials, sessions, stats, and tmp materialization caches. It defaults by platform and can be overridden with OCTOCODE_HOME:

Platform Location
macOS ~/.octocode
Linux ${XDG_CONFIG_HOME:-~/.config}/.octocode
Windows %APPDATA%\.octocode

Set values as MCP env entries (per client; these win over .octocoderc) or globally in <octocode-home>/.octocoderc (JSON with comments). Tokens never go in .octocoderc — use env or npx octocode auth login.

Common settings

The Scope column shows where a setting applies: Both, or MCP (the CLI ignores it).

Env var .octocoderc key Default Scope What it does
OCTOCODE_HOME env only platform default Both Overrides the Octocode data directory for config, credentials, sessions, stats, and caches.
OCTOCODE_TOKEN / GH_TOKEN / GITHUB_TOKEN env only unset Both GitHub token, in priority order. Tokens stay in env, never in .octocoderc.
GITHUB_API_URL github.apiUrl https://api.github.com Both API endpoint; use /api/v3 for GitHub Enterprise.
ENABLE_LOCAL local.enabled true Both Turns local filesystem + LSP tools on/off; set false to disable.
ENABLE_CLONE local.enableClone CLI true, MCP false Both ghCloneRepo and directory fetch. Default differs by surface; set false to disable in either.
WORKSPACE_ROOT local.workspaceRoot cwd Both Absolute root for resolving relative local paths.
ALLOWED_PATHS local.allowedPaths [] Both Extra path allowlist for local access; empty means home directory only after validation.
TOOLS_TO_RUN / ENABLE_TOOLS / DISABLE_TOOLS tools.* unset MCP Whitelist, add to, or remove from the registered tool set. The CLI exposes every tool.
REQUEST_TIMEOUT network.timeout 30000 Both Request timeout in ms (clamped 5000..300000).
MAX_RETRIES network.maxRetries 3 Both Retry attempts (clamped 0..10).
OCTOCODE_OUTPUT_FORMAT output.format yaml Both Response format: yaml or json.

Local defaults on; clone differs by surface. Both CLI and MCP default local tools on; set ENABLE_LOCAL=false to disable them. The CLI defaults clone on, while the MCP server requires ENABLE_CLONE=true.

Per-project overrides and custom LSP servers live in a workspace .octocode/ folder. For the full .octocoderc schema, a ready-to-copy example, clone-cache tuning, GitHub Enterprise setup, and precedence details, see the Configuration Reference.


Authentication Methods

GitHub-backed tools require authentication. Any one method is enough. Full details: Authentication Setup.

Option 1: Octocode CLI (Recommended)

npx octocode auth login
npx octocode status       # verify the active token source

Interactive login lets you choose Octocode browser OAuth or gh auth login. Octocode OAuth credentials are stored encrypted on disk.

Option 2: GitHub CLI (also supported)

gh auth login

Octocode reads the gh token automatically — no further config needed.

Option 3: Personal Access Token (also supported)

Set OCTOCODE_TOKEN, GH_TOKEN, or GITHUB_TOKEN in your shell. Required scopes: repo, read:user, read:org.

Create a token at github.com/settings/tokens.

Security tip: Never commit tokens to version control. Use environment variables or secure secret management.


Security

Every byte that reaches the model is scanned and redacted first. All content (local files, GitHub and npm responses, error messages, and tool outputs) passes through the Rust engine's secret scanner on the way in (tool inputs) and on the way out (results), so secrets never reach the LLM. The same enforcement runs identically under MCP and the CLI.

  • Secret redaction, in and out. 300+ provider credential patterns (AWS, Azure, GCP, GitHub, OpenAI, Anthropic, Stripe, Slack, 1Password, and more) plus generic JWTs, PEM/private keys, bearer tokens, database connection strings, and high-entropy strings. Masked values surface a redaction warning so the agent knows.
  • Content sanitized at the source. Local reads (localGetFileContent, ripgrep, structural search, binary, file discovery, structure) and external fetches (GitHub code/files, npm) are scanned as they are read, not only at the boundary.
  • Path safety. Relative inputs resolve from WORKSPACE_ROOT / config / cwd, then local reads are bounded to the engine's allowed roots (home by default, plus ALLOWED_PATHS and Octocode-registered roots). Symlinks are resolved and the real target is re-validated, so a link cannot escape into a blocked location.
  • Sensitive files and directories are blocked by default. Octocode refuses to read known secret-bearing files and folders wherever they live, returning a redacted error instead of contents. Blocked patterns include:
    • Keys and certs: *.pem, *.key, *.crt/*.cer/*.csr, *.p12/*.pfx/*.jks/*.keystore, and SSH keys (id_rsa, *_ed25519, authorized_keys, known_hosts, .ssh/).
    • Credentials and tokens: .env / .env.*, .netrc, .npmrc, .pgpass, .git-credentials, *_token / .token, client_secret*.json, *service-account*.json, auth.json, .htpasswd.
    • Cloud and infra: .aws/, .azure/, .config/gcloud/, .kube/ / kubeconfig, .docker/, .terraform/ and *.tfstate.
    • OS and app secret stores: .git/, secrets/, private/, browser login data (Chrome/Firefox), OS keychains, password managers (*.kdbx), shell history files, and crypto wallets.
  • Command safety. Normal local search runs in-process inside octocode-engine. External helpers are fixed per lane, command/argument allowlisted, and run via spawn with argument arrays: no shell strings, no injection.
  • Schema validation runs before any tool executes; untrusted input size and shape are bounded.
  • Credentials. GitHub auth via env tokens, AES-256-GCM-encrypted on-disk OAuth, or the gh CLI; tokens are never logged.

Full security model, pipeline, and threat coverage: SECURITY.md. Related: Authentication · Configuration · Credentials


Language Support

Four code-intelligence axes; three are native to the Rust engine and need no external tooling:

Axis What it does How to use it
Structural AST Tree-sitter shape queries (pattern or YAML rule) across 60+ extensions. localSearchCode mode:"structural" · CLI search --pattern/--rule
Signature outline Body-free skeleton with line numbers from real tree-sitter parsing, no heuristics. An anti-growth guard returns the real file when a skeleton wouldn't be smaller. minify:"symbols" · CLI search <file> --content-view symbols
Content minification Comment/whitespace stripping for 70+ languages and config formats; HTML/Vue/Svelte also minify embedded <style>/<script>. minify:"standard" (default)
LSP navigation definition, references, callers/callees, callHierarchy, hover, typeDefinition, implementation, documentSymbols, via an installed language server; JS/TS also have a native, no-server path. lspGetSemantics · CLI search --op / search --symbols

📋 Full support matrix: every extension with its exact AST, signature, LSP, and minify capability, machine-generated from the shipped binary, lives in the Full format support matrix (151 extensions: 61 AST, 47 signature, 32 LSP, 90 minify-only). Regenerate or verify with yarn workspace @octocodeai/octocode-benchmark matrix:check.


Skills

Agent Skills are a lightweight, open format for extending AI agent capabilities. Browse and install on skills.sh/bgauryy/octocode-mcp

1 skill under skills/, bundled in the octocode package. Start with ⭐ Research for evidence-first code work.

npx octocode skill --list
npx octocode skill --name octocode-research
npx octocode skill --help
Skill Install Use when
Research npx octocode skill --name octocode-research Evidence-first research, review, refactor, architecture.

Architecture

A yarn-workspaces monorepo. The MCP server and the CLI are thin front-ends over one shared TypeScript tool core, which delegates every CPU-heavy path to a single Rust engine (compiled via napi-rs to prebuilt .node binaries). One tool catalog, one security layer, one response shaper, reached two ways.

graph LR
    CLI["octocode<br/>CLI"]
    MCP["octocode-mcp<br/>MCP server, stdio"]
    VSC["VS Code extension<br/>OAuth + install"]
    CORE["octocode-tools-core<br/>tools, GitHub client, auth, pagination, security bridge"]
    ENGINE["octocode-engine (Rust)<br/>secrets, minify, AST, signatures, ripgrep/diff/YAML, LSP"]
    EXT["GitHub API, local FS + ripgrep, language servers"]

    CLI --> CORE
    MCP --> CORE
    VSC -. starts .-> MCP
    CORE --> ENGINE
    CORE --> EXT
    ENGINE --> EXT

    style ENGINE fill:#1a1a2e,stroke:#e75d2a,color:#fff

Request flow is identical whether a call arrives over MCP or the CLI:

client → sanitize inputs (Rust) → run tool (GitHub / FS / LSP) → sanitize + YAML-serialize + paginate (Rust) → result + next-step hints

One Rust engine owns secret detection, sanitization, path/command validation, minification (70+ languages), signature extraction, structural AST search, ripgrep parsing, diff filtering, YAML serialization, and LSP, so the Node event loop stays unblocked and there is no duplicate native loader. It ships prebuilt for darwin (arm64/x64), linux (arm64/x64, gnu + musl), and win32-x64; no Rust toolchain is needed at runtime.

Packages

Directory npm package Role
packages/octocode octocode CLI: quick commands, raw tool runner, skill installs, auth/login/logout, install, status, context.
packages/octocode-mcp @octocodeai/mcp MCP server (stdio) that registers the tool catalog for AI assistants.
packages/octocode-tools-core @octocodeai/octocode-tools-core Shared tool core: implementations, GitHub client, credentials and token resolution, session, pagination, security bridge.
packages/octocode-engine @octocodeai/octocode-engine Rust/napi native engine: security scanning, minification, signatures, structural AST, ripgrep/diff/YAML, LSP.
packages/octocode-config @octocodeai/config Zero-dep env + config loader: getOctocodeHome, .env parsing, .octocoderc reading. Single source used by every package and skill.
packages/octocode-vscode octocode-mcp-vscode VS Code extension: GitHub OAuth + multi-editor MCP install.

packages/octocode-benchmark (private, not published) holds benchmark methodology, evals, and run artifacts — see Documentation.


Documentation

Website: octocode.ai · Product docs: github.com/bgauryy/octocode/tree/main/docs. This section is the canonical documentation index; benchmark methodology, evals, and run artifacts live in packages/octocode-benchmark.

Area Docs
MCP server Octocode MCP Server · Configuration · Authentication
Tools and workflows Octocode Tools Reference · Octocode Research Skill · Search Guide
CLI and query language Octocode CLI Guide · Octocode Query Language · OQL Research Graph Flow
Skills Skills
Development and security Security Model · LSP Server Lifecycle
Benchmarks and evals Benchmark Summary · Unified CLI/Tool/OQL Eval · Benchmark Runbook · Support Matrix
Shared internals Credentials Architecture · Session Persistence

Troubleshooting

Having Node.js issues? Run:

npx node-doctor check --json

Read the output and fix accordingly.


Agent Workflows

Recommended dev mode: Pi + Octocode

Pi is a fast, local-first coding agent whose stated philosophy is "CLI tools with READMEs (Skills) over MCP." Pairing it with Octocode gives a lean, evidence-driven dev loop — Pi edits, Octocode researches. Two routes, pick by how much surface you need:

  • Skill route — recommended, leanest. Drop the octocode-research skill into Pi's global skills dir. It drives the Octocode CLI directly — no MCP transport, minimal token overhead — and Pi auto-discovers it:

    npx octocode skill --name octocode-research --platform pi
    
  • Adapter route — full tool surface. Install pi-mcp-adapter to expose Octocode MCP tools behind a single ~200-token proxy tool, so servers stay disconnected until a tool is actually called. Enable clone tools with ENABLE_CLONE=true.

Research-driven loop

Most agent failures start before implementation: the agent guesses the owner of a behavior, trusts a snippet without reading the exact source, or edits before proving blast radius. Prefer a cheaper loop first: orient with trees and discovery output, search with Octocode, read exact evidence, use AST/LSP when identity matters, then patch and verify.

That shape keeps the editing surface small while preserving context for what matters: file anchors, symbols, call paths, PR/history evidence, package sources, and the verification command that proves the change. In short, the host edits, Octocode is the map, and skills encode the habit.

The Manifest

"Code is Truth, but Context is the Map." Read the Manifest of Octocode for Research Driven Development to understand the philosophy behind Octocode.

from github.com/bgauryy/octocode-mcp

Установить Octocode MCP - AI Context Platform в Claude Desktop, Claude Code, Cursor

Рекомендуется · одна команда, все IDE
unyly install octocode-mcp-ai-context-platform

Ставит в Claude Desktop, Claude Code, Cursor и VS Code — сам разбирается с npx, uvx и сборкой из исходников.

Впервые? Поставь CLI: curl -fsSL https://unyly.org/install | sh

Или настроить вручную

Выполни в терминале:

claude mcp add octocode-mcp-ai-context-platform -- npx -y octocode-mcp

FAQ

Octocode MCP - AI Context Platform MCP бесплатный?

Да, Octocode MCP - AI Context Platform MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Octocode MCP - AI Context Platform?

Нет, Octocode MCP - AI Context Platform работает без API-ключей и переменных окружения.

Octocode MCP - AI Context Platform — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить Octocode MCP - AI Context Platform в Claude Desktop, Claude Code или Cursor?

Открой Octocode MCP - AI Context Platform на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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