AI & ML MCP Servers

LLM query cost optimizer minimizing context waste.

Persistent file-based memory for AI agents: inspectable, versionable, fully local.

Intelligent code knowledge graph for AI coding agents — 71% cheaper, 72% faster

Decentralized AI inference on Base: OpenAI-compatible chat via community GPUs, paid in MYAI

Check the trust/security score of MCP servers, agents, skills & CLIs before you install them.

FastMCP server for Obsidian wikilink suggestions from a pre-computed knowledge graph (graphify…

TFT champion, trait, item, and augment data for LLMs via CommunityDragon

LLM cost optimization. Audit your calls, prove savings, route to the cheapest quality model. BYOK.

Team-aware memory: intent, decisions, real-time conflicts for AI coding assistants.

Agent reasoning, memory, and token-optimized context for AI applications.

Map text into knowledge graphs to create a structured representation of conceptual relations and t…

Read-only MCP access to authorized Vocci sessions, notes, files, and memory search.

Persistent personal memory for AI assistants — save, search, and recall across every MCP client.

MCP memory for AI trading agents. Store trades, recall similar setups, track strategy performance.

Extract structured data points from research papers and other documents with an LLM.

Mediterranean marine, nautical, sailing: forecasts, tides, sea routes, anchorages, POIs for AI.

Knowledge Base von designare.at – Michael Kanda, Web & KI aus Wien. Semantische Suche über RAG.

simple task manager for your LLM

Scores, compiles & optimizes prompts for any LLM. Zero AI calls inside. Freemium.

Orbit Zürich: Workshop-Räume, Preise und freie Slots abfragen, Buchungsanfragen stellen.

Give your AI agent an identity: its own email, webhook, repo, secrets vault, memory and skills.

Shared long-term memory for AI agents: save and recall context as a searchable knowledge graph.

Italian tax + NIS2 scope: Codice Fiscale, P.IVA, IBAN, ATECO, IMU, F24, FatturaPA. Free, no LLM.

MCP as a Judge: a behavioral MCP that strengthens AI coding assistants via explicit LLM evaluations