"Gcore" matching MCP servers:

Score your specs before an LLM builds from them. Scores on 4 axes (completeness, clarity, constraints, specificity), calculates a balance score, and returns a verdict with radar chart visualization.

MCP server that lets AI agents (Claude, Cursor) debug your .NET / ASP.NET Core app

Implicit is the experience layer for AI agents. Bounded local stdio MCP for synthetic experience addressing, selective state materialization, provenance, benchmarking, and adapter validation.

Enables AI coding agents to retrieve real-user performance metrics and 28-day field trends, run Lighthouse lab audits, and access remediation playbooks for LCP, INP, and CLS.

A developer toolkit for MCP servers that enables testing, validation, debugging, and scaffolding, and can be used as an MCP server for AI agents.

Enables users to evaluate cold email copy for spam heuristics, formatting ratios, unsubscribe compliance, and readability, returning a composite spam score, deliverability tier, flags, and recommendations to improve primary inbox placement.

A remote MCP server exposing 3 tools via Model Context Protocol: score_prompt (free, grades any LLM prompt A-F on 0-40 scale), optimize_prompt (returns optimized prompt + dimension breakdown, $0.025 USDC), and compare_models (Claude vs GPT-4o head-to-head, $1.25 USDC). Remote HTTP server at /api/mcp.

Enables AI agents and MCP clients to perform 3D asset creation and verification: exact b-rep CAD, GLB validation with embedded certificates, mesh inspection, and physics scenes, with most tools running without Blender.

Unified MCP server for DeepAgentLabs that exposes workflow profiling, analysis, and chaos experiment tools through a single interface.