TopRank (also maintained as notfair-plugin by nowork-studio) is an agent integration harness and plugin orchestrator designed to connect developer environments and coding assistants to external data sources and MCP endpoints. The tool operates across multiple client interfaces by packaging portable manifests for Claude, OpenAI Codex, and Cursor environments. It orchestrates agent workflows by routing queries, analytical workloads, and external service connectors (such as Google Ads MCP registries) directly into the agent's context window. Unlike single-target CLI coding agents, TopRank acts as a cross-platform connector layer. It provides unified configuration bundles across disparate agent systems, enabling consistent tool calling and dataset access without requiring developers to write distinct scaffolding for each AI coding environment. TopRank is available as open-source software on GitHub and focuses on multi-platform assistant integration and standardized tool-manifest distributions.
Multi-Assistant Plugin Manifests — Provides portable configuration manifests across Claude, OpenAI Codex, and Cursor environments. - MCP Registry Integration — Packages and serves Model Context Protocol integrations to expose third-party data sources to coding agents. - Universal Onboarding — Includes unified initialization routines for onboarding Codex and related assistants to external tool APIs. - Analytics Integration — Houses dedicated analytics tools to monitor agent activity and connector usage. - Automated Registry CI/CD — Uses automated GitHub Actions workflows to validate and deploy MCP metadata and plugin manifests.
Use cases
Use Case: Cross-Ecosystem Agent Tooling Maintain and deploy a single tool or data integration across multiple coding environments simultaneously. Developers use TopRank's unified structure to deliver compatible plugins to Claude, Cursor, and Codex workflows without re-architecting configuration manifests.
Use Case: Exposing External Services via MCP Connect specialized API services, such as analytics platforms or ad platforms, to coding agents using standard Model Context Protocol patterns. This allows conversational and agentic interfaces to query live external data sources directly.
Use Case: Inspecting Agent Integration Telemetry Analyze tool invocation patterns and payload metrics across connected assistants. Developers leverage the analytics directory modules to track integration reliability and context usage.
Who it is for
TopRank is aimed at developers and maintainers creating cross-platform plugins or MCP connectors for AI assistants such as Cursor, Claude, and Codex. It is not designed for end users looking for a standalone, turnkey terminal coding agent.
Install guide
Installation Clone the repository locally to access the manifests and tooling scripts: bash git clone https://github.com/nowork-studio/toprank.git cd toprank
First Run Inspect the plugin manifests corresponding to your target assistant environment: bash ls -la .claude-plugin .cursor-plugin .codex-plugin If integrating with MCP endpoints or external data connectors, configure your local environment: bash cp .env.example .env # Standard environment setup
Example Session Symlink or reference the appropriate plugin directory within your editor or assistant configuration: bash # Example: Link Cursor plugin manifest into local Cursor agent configuration cp -r .cursor-plugin ~/.cursor/plugins/toprank
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