Your AI agent is flying blind. Give it context.
Scope extracts structured metadata from your codebase and delivers it to your AI agent via MCP. Less tokens wasted on exploration, higher quality output.
Works with Claude Code, Cursor, Codex, and any MCP-compatible tool. Multi-repo context built in.
Your AI agent doesn't understand your codebase
Without structured context, AI tools miss integrations, skip edge cases, and leave you filling in the gaps. Context engineering fixes that.
Before
No context, incomplete output
Your agent explores blind
AI spends half its token budget reading files and guessing architecture before writing a single line of code.
Dependencies are invisible
Your agent doesn't know which endpoints, schemas, or services are affected by a change until it breaks something.
Context resets every session
CLAUDE.md and rules files go stale. Every new session starts from scratch with no memory of patterns or conventions.
60% done is the ceiling
Without full codebase context, AI handles the happy path but misses integrations, lifecycle hooks, and edge cases.
After
Structured context, complete features
Structured metadata via MCP
Scope maps entities, endpoints, and dependencies into structured metadata — delivered to your agent on demand, not as raw file content.
Complete features from the first run
Context-aware decomposition ensures integrations, callbacks, tests, and edge cases are all included.
3-4x fewer tokens
Your agent pulls structured metadata via MCP instead of burning tokens reading files. Same context in 2K tokens vs 40K.
Describe a feature, ship it complete
Two sentences in, implementation-ready specs out. Grounded in your actual codebase, not generic templates.
Cross-repo context
Your frontend agent can pull backend entities and API contracts from another project. Codebases talk to each other through Scope.
“We've all been in that sprint planning meeting where someone opens a ticket and... it's a black box. No context. No design. No acceptance criteria.”
Arbisoft Engineering Blog
Same prompt. Different results.
Claude Code is a great driver. Scope gives it GPS. See what happens when your agent has structured context vs. reading files blind.
Add a subscription billing system to the app
Without Scope
Claude Code reads text
Burns 40K+ tokens reading files before writing code
Reads user.rb as text. Doesn't know it connects to 12 other files.
Misses your existing Stripe webhook handler in /webhooks/stripe.ts
Doesn't know your team uses service objects, not fat models
Creates billing that works in isolation but breaks your payment flow
You spend 2 hours fixing integrations it missed
With Scope
Agent receives via MCP before writing code
User (12 associations), Plan, Invoice exist. Subscription is new.
User → Orders → Payments → StripeWebhook (existing flow mapped)
Service objects pattern, Zod validation on inputs, RSpec for tests
14 files to create or modify, with exact paths
Changing User affects 3 API endpoints and 1 background job
Complete implementation on first run. Less tokens, higher quality, proper integrations.
Text vs. structure. Reading app/models/user.rb tells your agent there's a User class with some methods. Scope knows User has 12 associations, is the most connected entity, gets modified by 3 service objects, is exposed through 5 API endpoints, and follows specific validation conventions. All in 2K tokens instead of 40K.
From codebase to deep context in minutes
Connect your codebase, describe a feature, and Scope delivers everything your AI agent needs to build it complete, delivered via MCP.
Sync your codebase
GitHub
Connect a repo
Local
scope_sync(files: { ... })Codebase understood
One agent, multiple codebases
Your AI agent can pull entities, endpoints, and conventions from any project in Scope. No monorepo required.
Generate features from the terminal
Describe a feature in plain English. Scope analyzes your codebase and generates implementation-ready tickets with files, criteria, and dependencies, all via MCP without leaving Claude Code.
No context switching
Stay in your terminal. No browser tabs, no copy-pasting between tools.
Codebase-grounded tickets
Every ticket references real files, follows your conventions, and maps to your architecture.
Automatic splitting
Large features get broken into properly scoped tickets with dependency ordering.
Saves 3-4x tokens
Scope already knows your codebase. No exploration phase means fewer tokens spent on context.
The context progression
Most teams start with no context at all. Some maintain CLAUDE.md files manually. Scope automates the entire context layer and keeps it current.
No context
Raw AI prompting
CLAUDE.md / rules
Manual files
Scope
Automated via MCP
Scope adds a structured context layer on top of your existing tools. It works alongside Claude Code, Cursor, and any MCP client.
Built for MCP-native delivery
Scope fits your existing workflow while delivering structured codebase context to any AI coding agent.
What Scope delivers
Structured codebase context
Entities, relationships, endpoints, and dependencies mapped automatically
MCP tool suite
13 MCP tools your AI agent can call to pull context on demand
Implementation-ready specs
Codebase-grounded tickets with exact files, APIs, and acceptance criteria
Impact analysis
What changes, what depends on it, and what should ship first
Cross-repo context
Query entities, endpoints, and conventions from any project — one agent, multiple codebases
Where it ships
We analyze your codebase. We never store your code.
Scope extracts entities, relationships, endpoints, and conventions from your codebase. Your source code is processed in memory and discarded. Only structured metadata is stored — never your source files.
Source code never stored
Scope reads your code during analysis and extracts metadata: data model names, properties, and feature paths. The actual source code is processed in memory and discarded.
You control what's shared
API keys are scoped to your projects. You choose which repos to connect. Nothing is shared between users or projects.
Isolated by design
Each project's context is stored in isolated, encrypted storage. Enterprise-grade security practices throughout.
✓What we store
- Data model names, properties, and relationships
- Feature paths and access rules
- Technology and framework choices
- Conventions and patterns detected in your codebase
- Your project requirements and generated specs
✕What we never store
- Your source code files
- Environment variables or secrets
- Git history or commit contents
- Any raw file content from your repository
Simple pricing
Start free. Upgrade when you need deeper analysis and faster models.
Free
For solo developers getting started
- Codebase analysis via GitHub or local sync
- 13 MCP tools for context delivery
- Incremental sync — context stays current
- Feature spec generation
- Semantic search across project context
- No credit card required
Pro
14-day free trial
For developers and teams shipping daily
- Everything in Free
- Premium codebase analysis (deeper parsing)
- Advanced impact analysis
- Faster AI models for spec generation
- Priority support
Cancel anytime. Works alongside your existing tools and workflow.
Questions? Answers.
No. Scope reads your source code during analysis to extract structure and metadata: data model names, properties, feature paths, relationships, and patterns. The actual source code is processed in memory and discarded. Only the extracted context is stored.