1574 Model Context Protocol servers — searchable, rated, ready to install.
Spawn multiple specialized Claude Code agents as MCP servers, each independently configured.
Search, analyze, and trade Kalshi prediction markets through Claude Desktop
Hardware probe for performance diagnostics, thermal monitoring, and LLM optimization.
MCP server that can perform basic arithmetic operations and parse/evaluate arithmetic expressions.
Share context, detect conflicts, and message across parallel Claude Code sessions
Semantic context compression and cognitive memory layer for LLM swarms.
Live webcast transcription + vocal stress analysis (F0 jitter, hesitation) for earnings calls.
A Model Context Protocol server for integrating HackMD's note-taking platform with AI assistants.
Persistent memory + git snapshots for Claude Code. Never lose context or code.
MCP server for real-time LLM API documentation — stop hallucinations
An MCP server that provides image generation and editing capabilities
Self-hosted session relay. Shared threads across Claude Code, Cowork, and Claude.ai.
LLM query cost optimizer minimizing context waste.
AI-native scheduler that lives in Claude. Describe meetings in plain English; Heldly does the rest.
Path-scoped team memories, rules and skills for Claude Code, Cursor, Codex and other MCP clients.
Navisworks coordination and clash detection via APS — reports, viewpoints, model objects.
Hallucination validator and factual grounding checker for LLM outputs.
Revit model integration via APS — elements, parameters, schedules, clashes, IFC export.
Turn any LLM into your lab assistant: search samples, track experiments, analyze data with AI.
MCP server providing access to the Scorecard API to evaluate and optimize LLM systems.
Agent Personas for Claude. 16 tools, 13 personas, 3 workflows. OAuth 2.1. Free.
AI visibility monitoring. 24 tools, 8 LLM platforms, Hallucination Guard. Free tier.
Audits MCP servers for Claude Code mcp_tool hook readiness: idempotency, latency, side-effects.
MCP server for Tessera's LLM cost-optimization layer: anchored spend, drift, recommendations.
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