AI & Agents MCP servers

Solve it once. From then on, your AI knows. Experience for coding agents, hosted in the EU.

Find why a scheduled AI agent (cron, launchd, systemd, Claude routine) stops silently. Read-only.

Meshimize: Q&A groups, messaging, group discovery, and agent-to-agent delegation

Which AI model, and what it costs: LiteLLM prices, Arena ratings and price history.

Local multi-client RAG server over the Model Context Protocol.

Local-first memory for AI agents: markdown source of truth, budget-aware recall, write gate.

Deterministic intent preflight before your agent builds: six gates, keyless, no model call.

Local-first AI memory: search your Claude Code, Codex, Claude desktop, Pieces and browser history.

Bidirectional AI agent collaboration — spawn and communicate with any agent CLI

Local LLM does Claude's bulk work: reads logs and files, researches the web, writes test-gated code.

Persistent agent memory as plain Markdown in your repo - readable, diffable, with provenance.

MCP server for mlua-swarm: engine that compiles flow.ir Blueprints and dispatches agent steps.

1 MCP to rule them all. Orchestrate, discover, and run any tool instantly.

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

Cross-client AI memory hub: agents share one SQLite memory.db via file-level pointers.

Multi-model debate with named dissent, plus decision provenance queries for AI coding work.

Skill orchestrator: plan, execute, verify skills over MCP stdio.

Query the Vapi API: assistants, single assistant, call history, call details.

Typed Jev decisions in one tool: choice, score, yes/no probabilities via any compatible endpoint.

Local memory and context retrieval for AI agents through CueMap.

Persistent memory MCP server for Claude Code, Cursor, and GitHub Copilot.

Token-lean memory for AI agents: a knowledge graph searched cheaply. Drop-in for server-memory.

Serves a directory of Agent Skills over MCP: list, load, read files, run declared scripts

Shared, source-backed memory for AI agents on your own Postgres, with an optional document engine.

Intelligent AI workflow orchestration with long-term memory, 100+ integrations, and unified credits.

Fail-closed human approval gates for AI agent actions. Default-deny, TTL expiry, audit log.

Base OQOS MCP server for chatbot discovery and future OQOS capabilities.

Dynamically load Claude Code skills into AI agents without copying files.