Model Context Protocol servers that extend AI capabilities
tentaikhoan24
MCP server for Lazy Cherry Pick: AI tools for git status, branches, commits, diffs, cherry-pick, fetch/pull/push, and conflict resolution. Run via npx, no desktop install needed.
...moreArda Karaman
An MCP server that lets AI assistants (Claude Code, Claude Desktop, Cursor…) read, screenshot and manage tabs in the Floorp browser via its built-in automation API.
...moreDCReddi Inc
LLMBoard — real-time observability for Claude Code. Watch agents, tools, tokens, and security anomalies as they happen.
stijnvanhulle
Model Context Protocol (MCP) plugin for Kubb, generating MCP-compatible tools and schemas from OpenAPI specifications for AI assistants.
...morefilcuk
MCP server for PLANKA kanban boards
jungyoun
Programmatic SDK for building AI agents with Robota — provides InteractiveSession, createQuery(), command APIs, permissions, hooks, and context loading
...moreRick Somers
Pluggable authentication for mcp-gateway (API key, JWT, OAuth, OIDC)
Rick Somers
Compliance audit trail logging for mcp-gateway
Rick Somers
Structured logging, tracing, and metrics for mcp-gateway
Rick Somers
Per-tenant tool access control with wildcard pattern matching
Rick Somers
MCP Gateway server — Express-based gateway with authentication, rate limiting, caching, and fan-out
Rick Somers
Redis-backed response caching for mcp-gateway
Rick Somers
Core types, utilities, and configuration for mcp-gateway
Rick Somers
Per-tenant rate limiting with token bucket algorithm
Rick Somers
Multi-upstream fan-out routing and MCP client connections
scruffyprodigy
JoinQuest integration MCP server for game developer agents
OrcaLayer
MCP server for the OrcaLayer API — Polymarket whale and market analytics for Claude Desktop and other MCP clients
NianLog
A lightweight MCP server for interactive user feedback via browser dialogs
crossps
A zero-dependency local API bridge for OpenAI & Anthropic. Accepts Chat Completions, Anthropic Messages, and OpenAI Responses formats, with prompt injection and prompt-cache keepalive.
...moreLitClaude contributors
Claude Code-native workflow distribution.
A real-time, provenance-invalidated cognitive cache layer for AI agents and RAG.
Local-first deep research: your models, your connection, your disk. Multiple local LLMs research the live web as independent analysts; a blind editor compiles a cited report.
...moreCross-venue prediction market routing for AI agents — arbitrage, quotes, and demand intelligence.
AI ops team for founders: approvals queue, inbox triage, briefing, follow-up drafting.