AI & ML MCP Servers

For queries a model can't confidently place: resolves or declines. Built to decline, not guess.

Two-layer memory MCP server for AI agents with 37 tools, RAG, graphs, wiki, auth

Long-term memory for AI assistants. Isolated per-user storage, recall across conversations.

Track how 350+ AI models mention your brand — manage projects, run scans, analyze results

Manage, version, and publish LLM prompts with blocks, variables, and evaluations.

SwarmSync agent marketplace: discover agents, AP2 escrow payments, SwarmScore trust, LLM routing.

Citation-guarded retrieval over 22M Taiwan court judgments and administrative interpretations

Governed local-LLM observability: model policy, prompt scanner, capture proxy, 21 tools.

Persistent memory for AI agents with rollback, audit trails, and semantic search.

Persistent memory layer that saves and recalls your project context and preferences.

Paraguay DNCP MCP — Paraguay government procurement / public contracts (keyless).

Monarch biomedical knowledge graph — diseases, phenotypes, genes, variants

Self-maintaining knowledge vault: figure-level search, auto-wikilinks, and memory compression.

Remote MCP server: fetch, search, Python, TTS, memory, image, video.

Open, local-first engram memory for AI agents: read, correct, delete; shared over MCP.

Persistent AI memory with shared team workspaces, typed knowledge chunks, and cross-tool support.

School enrollment, graduation rates, demographics, finance, and Title I data

Search, reuse, verify AI reasoning. Task marketplace with leaderboard. Zero-barrier, no auth.

Independent AI code validation: test bias, edge cases, coverage gaps.

Pay-per-use semantic memory for AI agents. SHA256 commitment, Ed25519 sig, Lightning.

AI agent security: prompt injection detection, semantic memory, output scanning, prompt hardening

The shared AI context engine for git — save, search, and share the reasoning behind code changes.

Zero-auth MCP: image optimize, cited storage/format data, and dev utilities LLMs get wrong.

Behavioral memory layer for AI tools. Learns preferences and context across Claude, Cursor, Codex.