"Two agents working simultaneously" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Coding agents in multi-service codebases routinely rebuild existing helpers, trust stale type definitions, and modify API contracts without knowing who consumes them. Carrick solves this by indexing your entire TypeScript ecosystem across service and repository boundaries. By integrating deeply with the TypeScript compiler, Carrick traces every route, type, and cross-service call while recording function behaviour so agents search by intent rather than name. Delivered via MCP for AI agents and LSP for IDEs, Carrick ensures models see existing endpoints and utilities before generating new code. The scanner is source-available and runs from your CLI or CI pipeline.
Pine Script backtest-trap checks, backtest reconciliation and official Korean finance data.
Stateless TypeScript and JavaScript code intelligence for AI agents. Find semantic symbol references, resolve imports and importers, inspect callers and callees, and analyze change impact with compiler-backed evidence. No repository indexing or OAuth required.
Stateless TS/JS compiler facts for agents: references, imports, impact. No repo index or OAuth.
Codebase graphs, caller impact analysis, and recorded project context for AI coding agents.
Dependency picker for coding agents: recommends, compares and scores GitHub repos with a verdict.
Package intelligence for AI agents across npm, PyPI, crates.io and deps.dev. No API keys.
MCP server for secureFlows: token-free URL builders and integration-linting tools for AI agents.
Stop your AI agents from writing sloppy TypeScript. A toolkit that teaches coding agents like Claude Code, Codex, Cursor, Amp, and more to ship production-ready code in half the time, at half the cost. Docs are available at https://convention.sh/docs
Hosted code graph over MCP: exact callers, dependencies, and cross-repo blast radius for AI agents.
Honest library picks for coding agents in 25-360 tokens. Tells your agent what NOT to install.
Open-source licence risk checks for AI coding agents and dependency trees.
Repository evidence for agents before they adopt dependencies, enter codebases, compare, or merge.
Zero-install security baseline for AI coding agents — OWASP/CWE-cited rules over MCP.
Real-time Python package and vulnerability data for AI coding agents.
Pre-commit code quality guardian. Detects semantic drift in AI-generated code.
Deterministic JSON repair, validate, example-gen, schema-coerce for agents. Zero LLM, sub-10ms.
Package intelligence for AI agents across npm, PyPI, crates.io and deps.dev. No API keys.
Codebase intelligence for agents: 152 structured artifacts across 21 programs, one call.
Change intelligence for coding agents: sourced breaking changes for npm, PyPI, and Rust packages.
