MCP Catalog
Browse 1,664 Model Context Protocol servers · AI & Machine LearningClear
+9 more
Simulation, evaluation and monitoring for voice agents.
Knowledge graph ingestion, entity search, ontology analysis, and CoSync scoring.
Systematic medical reviews and evidence-based healthcare research
Log, evaluate, and ground AI decisions against authority context. Returns PASS, WARN, or BLOCK.
AI predictions on psychedelic medicine regulation. 8-agent swarm, 460+ daily signals, free API.
Hybrid human + AI expertise for faster, trusted answers and decisions via MCP Server.
Biotech rNPV/PoS engine for AI agents. Signed exports, evidence register, asset landscape.
Decision-assurance for AI agents: an auditable action boundary + receipt before it acts.
Live AI-native web search with citations. One tool for every MCP client. Flat per-request pricing.
Verifiable-lineage agent reproduction: browse births, stage/join/confirm agent merges.
Model intelligence for AI agents — syntax, params, pricing for 67+ generative AI models.
Public data API with ML enrichment — SEC EDGAR, FRED, NOAA, EPA, USGS. 404 endpoints.
MCP server for Langfuse LLM observability — trace and observation analysis.
Multi-agent governance: task orchestration, compliance, decision validation, and ML predictions.
Talk to your public-facing AI from any MCP client — Claude, ChatGPT, Cursor, Cline, Windsurf.
Quantum error-correction feasibility: success probability, qubit overhead, records, trends.
Quantum computing jobs, arXiv papers & researcher profiles from qubitsok.com
Wet-lab triage for AI binder-design agents. Yeast display, mammalian display, DMS at library scale.
Roboflow computer vision for AI agents: datasets, annotation, versioning, workflows, inference.
Integrate Connext AI into agentic workflows, enabling Connext product-aware assistance.
MCP-native AI evaluation: rubric audits, eval suites, and proof reports for AI/LLM output.
Personality Runtime for AI agents — persistent memory, personality, and relationships via MCP
LLM routing and A-share market phase signals via LG framework.
Local-first, LLM-agnostic memory layer for AI assistants.