MCP Servers 887
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Claude Agy
Delegate heavy tasks from Claude Code to the Antigravity CLI (Gemini) with quota-aware failover.
Wyrm
Local-first memory for AI agents: ground truths, failure firewall, negotiated recall over MCP.
Opensolr
Managed Apache Solr for agents: hybrid BM25+kNN search, server-side embeddings, RAG answers

Collective Memory
MCP server for persistent, semantic memory across AI sessions

Laviya Agent Skills
Laviya AI Orchestration MCP runtime for IDE and agent integrations.
In Memoria
Persistent codebase intelligence that gives AI assistants memory across sessions
mcp
Generate App Store and Play Store screenshots from your coding agent, at exact store sizes.

Claude Context Sync
Share context, detect conflicts, and message across parallel Claude Code sessions
SERP Agent SEO
Full-cycle SEO automation for AI agents: technical audits, SEO articles, machine-readable pricing.

Agent Sudo
MCP adapter for Agent_Sudo: authorization, delegation, provenance, and audit for AI agents.
Uploadcheck
QC videos, podcasts, and clips before upload — timestamped flags with agent-ready repair prompts.
Oneshot
Search receipt-verified agent build packs, with each pack's real M-of-N pass rate.
mcp
Wontopos (WOS) long-term memory (beta) - one memory across Claude Code, Cursor, and your agents.

AI Agent Search Optimization
Audit AI search readiness, generate llms.txt drafts, and build GEO/AEO prompt matrices for websites.

I18n Agent Action
An i18n github action for language translate

Scout Intel MCP — The Google for AI Agents
The Google for AI agents — company intel, competitor tracking, market research via MCP.
Sunaiva Gate — Agent Rule Enforcement
MCP enforcement layer that intercepts AI agent actions and blocks rule violations before execution.

Agent Q
Local MCP server for requesting signatures from Agent-Q Firmware.
MemoTrader MCP Server
AI-to-human attention marketplace.

Agent Claim
File-claim coordination for parallel AI coding agents: claim files before edits, no stomping.
PromptOT
Manage, version, and publish LLM prompts with blocks, variables, and evaluations.
