26695 Model Context Protocol servers — searchable, rated, ready to install.
Inspect, author, validate, and run high-content microscopy workflows.
Selects the minimum code an LLM needs to review a git diff
Deterministic reasoning stack for AI agents: simulate, decide & compute, plus cross-domain tools.
US weather & geo for AI agents: forecasts, alerts, earthquakes, elevation, geocoding. No keys.
Apple Mail over MCP: fenced reads, draft-only writing, human-gated actions, audited with undo.
Pay-per-call browser rendering and x402 marketplace ranking for AI agents, billed via USDC.
Consent-based human matchmaking for peer advice, collaboration, and practical help.
Local-first RAG engine with MCP server for AI agent integration.
RunAPI MCP server for Flux: create tasks, poll status, check pricing.
Ask the Altronis AI consultant, estimate AI cost (cloud vs own box), SG AI events, news. Read-only.
Search current class-action settlements and identify possible matches using structured filters.
Discover funded testnet tasks with deterministic on-chain acceptance and AWC utility rewards.
Read-only MCP server: verify credentials and browse escrows on the Stellar testnet contract.
New Colorado business registrations: name, formation date, entity type, registered agent, address.
Send AI-created PDFs for signature, track signers, and return verifiable document evidence.
Persistent, verified memory for AI coding agents: recall, capture, guardrails, review queue.
Centro — neighborhood directory: local places, events, menus, offers, and services.
EVM wallet reports and Robinhood Stock Token intelligence paid with USDC over x402.
PoC Q5b: run a differently-named console script via a positional runtimeArgument.
Preflight QA for AI-agent deliverables with structured verdicts and repair guidance.
PoC alpha server - base install, subcommand selection from a shared PyPI package.
Diagnoses Apple .ips crash reports: ranks likely causes with cited evidence, not just a stack trace.
Deterministic offline scorer for AI-writing tells in text and landing copy.
RAG memory for LLM agents over Garnet Vector Sets: store text as embeddings, recall by meaning.
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