Context7
Look up library documentation to give coding assistants more relevant context. Check the version before applying examples.
A version-aware implementation note
Check current publisher documentation, plans and permissions before connecting. A suggested stack is not a tested integration.
Look up library documentation to give coding assistants more relevant context. Check the version before applying examples.
Connect repository context, issues and pull requests to your AI workflow. Keep changes behind your normal review process.
19 source-reported listings in Developer Tools. Independently unverified.
Change tracking for AI-era codebases. AI agents call it to log structured change events (entity + diff + reasoning) before the session ends, then query history with diff, blame, history, changeset, and search. Captures the intent that would otherwise evaporate.
Billing infrastructure for MCP server operators. Add Stripe subscriptions, per-call credits, tiered pricing, and x402 crypto micropayments to any MCP server without writing billing code. Operator dashboard included.
Apple-native execution layer for AI agents. Compiles TypeScript to validated Swift — App Intents, SwiftUI views, WidgetKit widgets, and full apps. 13 MCP tools, 150 diagnostics, 500 tests.
Local-first codebase intelligence engine. Gives coding agents structured context packets, indexed code/schema facts, and diagnostics over MCP, backed by a local SQLite store — so agents stop rediscovering your repo with raw grep. Optional Postgres/Supabase awareness and a bundled Claude Code plugin.
Production-grade MCP server for secure access to local dev environments (filesystem, databases, processes, OpenAPI). Includes scope enforcement, command allowlist, and read-only DB mode.
Semantic code index that extracts domain concepts, naming conventions, and behavioral similarity from codebases. One tool call instead of 19, ~20x fewer tokens for codebase understanding queries.
An open-source observability layer for AI coding. Silently tracks dev tokens/time and auto-codifies AI deviations into persistent project rules.
Codebeamer ALM integration for managing work items, trackers, and projects. Provides 17 tools for reading and writing items, associations, references, comments, and risk management data via Codebeamer REST API v3.