MCP Catalog
Browse 149 Model Context Protocol servers · AI & Machine Learning · Apache License 2.0Clear
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RunAPI MCP server for Seedream: create tasks, poll status, check pricing.
RunAPI MCP server for Suno: create tasks, poll status, check pricing.
RunAPI MCP server for Topaz: create tasks, poll status, check pricing.
RunAPI MCP server for Veo 3.1: create tasks, poll status, check pricing.
RunAPI MCP server for Z Image: create tasks, poll status, check pricing.
Equilibrium-aware primitives for AI agents — negotiation, auctions, mechanism design.
Math-optimal negotiation moves for AI agents, in plain dollars (single + multi-issue).
Offline MCP: predict LLM call cost and pick the cheapest capable model. No keys, no network.
EU AI Act compliance scanner for Python AI agents — scan, analyze, and remediate
MCP server for AlphaFold and 8 other biomedical data sources with a local SQLite knowledge graph
Model Context Protocol server for the UniProt protein knowledgebase.
Deterministic trust gate for AI output: leaked-secret, prompt-injection & PII in one call.
Chat with 300+ LLMs via OpenRouter. Analyze and generate images, audio, and video from MCP.
Agent-native knowledge OS on Markdown: typed graph, hybrid search, and compiler over MCP.
Shared long-term memory vault for AI agents with 20 MCP tools.
Deterministic pre-execution safety certification for autonomous AI agents.
Multi-engine search for AI agents. Trust scoring, local corpus, MCP-native. Self-hostable, BYOK.
Multi-provider proxy infrastructure for AI/ML. Geo, sessions, cost-aware routing, usage tools.
MCP server for Styx — intelligent AI routing across OpenAI, Anthropic, Google, and Mistral.
Local-first memory system for AI agents with hybrid search and graph reasoning
Cognitive memory for AI agents — semantic search, Hebbian learning, knowledge graphs.
Evaluate, benchmark, and simulate AI agents on the VerifyAX agent-evaluation platform.
Formally-verified injection/exfiltration detector for AI agents (MCP-02).
Phase 2/3 clinical trial design via gsDesign / gsDesign2: sample size, GS boundaries, multiplicity