3102 Model Context Protocol servers — searchable, rated, ready to install.
Can GPTBot, ClaudeBot and PerplexityBot reach a site? Real fetch per crawler, firewall/CDN blocks.
Audit a site's visibility to ChatGPT, Perplexity, Claude and AI agents. Generates llms.txt.
Private memory layer for AI assistants. Local-first: remember, recall, forget, expand.
Research, strategy, financial models and decks, priced and approved per job, in your AI assistant
Find and remove the writing patterns a profile lists. Deterministic rules, model rewrite opt-in.
Grade any llms.txt, cold-read a homepage, run a B2B GTM ROI model, get a GTM diligence checklist.
Which open models fit your GPU or Mac, measured. Model momentum, GPU rental prices, weekly pick.
Discover verified AI inference nodes, get the best node+model per task, pre-price chains.
OpenAI-compatible multi-model inference via ComputeFlux (Polkadot testnet, TEE-verifiable). stdio.
Encrypted long-term memory shared across your AI assistants (Claude, ChatGPT, Perplexity).
Pay-per-call MCP tools over x402 (USDC/Solana): LLM, utilities, x402 market and model prices.
Vivento 365 (CRM inmobiliario) desde Claude, ChatGPT o cualquier cliente MCP: prospectos y citas.
Ask your AI assistant to sketch or change a Neo4j graph data model, then open it in toro4n.
Run any Relay model (image, video, audio, LLM), poll tasks, upload files and search Relay's docs.
Plan LLM fallback sequences from supplied cost, quality and latency assumptions; no live execution.
Pay-per-call toolbox for AI agents: one key and one MCP server for data, search, scraping, models
Delegate coding tasks to the OpenAI Codex CLI, installed separately, with explicit model and effort.
Read, write, translate and sync WordPress and Webflow blog articles from Claude.
Several models from different labs plan in a blind proposal, debate and review loop. Your own keys.
One memory for you and your AI agents, shared by ChatGPT, Claude, Gemini, Grok, Codex and Cursor.
FastAPI-native Model Context Protocol framework and stdio runner.
MCP server for Matrix42: explore the API and data model, search the service desk, act on tickets
Read-only: which local LLMs a GPU or Mac can run - VRAM fit, tokens/sec, model specs.
Measured weekly data on Claude Code and coding agents: costs, plugins, MCP registry, npm, HN, issues
POST /mcp