MCP Server Registry

Modern MCP server for Ollama – rebooted and actively maintained.

The EMBL-EBI Ontology Lookup Service (OLS)

Oman payments for AI agents — cards / Apple Pay via Tap Payments. Never holds funds.

For Claude.

Maintain persistent project context by storing decisions, lessons, and task checkpoints for seamless session transitions. Navigate information through semantic search and relationship graphs to uncover related knowledge clusters. Automate memory consolidation and cleanup to keep your workspace organized and relevant.

Query, browse, and automate OmegaAI workspaces from any MCP client. Streamable HTTP with OAuth 2.0.

AI that sees your screen, listens to your conversations and tells you what to do

Official Model Context Protocol (MCP) server for the Omium platform.

Deploy durable AI agents with Omnara, an open-source managed-agent platform.

MCP server for The Realms of Omnarai deliberation engine

Autonomous multi-agent AI system with document processing, web automation, and code execution powered by LLM agents and MCP servers

247 LLMs + image/video/voice/music gen + crypto/DeFi/markets/web-search. Pay-per-call USDC, no key.

Universal AI Knowledge Base Agent

Self-hosted semantic memory for AI Agents. Persistent sessions, experience scoring, and a graveyard for dead ends, backed by knowledge acquired from the RSS you read and stored in a Valkey vector search then exposed as an MCP server.

Live market intelligence & AI content strategy: trends, competitor moves, content calendar.

Music distribution for agents: upload, AI-check, submit and track releases on ONCE.

Paid MCP tools for onchain alpha research, X content analysis, and KOL distillation.

Pay-per-call compliance via x402: wallet sanctions, OFAC name, UK + US company verification.

Provides token-safety verdicts — rug and honeypot detection — across PulseChain, Monad, Base, and BSC.

Read-only approved AI tools, public stacks, guides, and evidence-aware comparisons.

Governed MCP gateway: one endpoint for your tools, with credential custody and audit log.

MCP server connecting AI agents to non-custodial staking data across 130+ networks.

OneHaus connects your home to your AI assistant over the Model Context Protocol. Once installed, any MCP-compatible client can manage everything your household runs on, no app-switching required. What it does: - Tasks & chores — create, assign, complete and schedule recurring tasks across household members - Shopping lists — add, buy and manage items, batch-add whole lists - Meals & recipes — build recipes, plan weekly meal plans, pull from a global recipe library - Calendar — create one-off and recurring events for the whole house - Home inventory — track pets, vehicles, appliances, subscriptions, documents and contacts - Smart context — weather forecasts, a house review/summary, and persistent memory so your assistant remembers your household over time All actions run against your live Haus household, resolved automatically from your authenticated session. Requires paid subscription to OneHaus. For more information, see https://onehaus.app

OneHQ Commission Calculator MCP is a MCP server that gives AI assistants direct access to insurance commission calculation and compliance tools. It lets you model distribution hierarchies, calculate exact earnings per agent tier, validate structures against real carrier rules, and look up benchmark contract ranges — all without leaving your AI workflow. The OneHQ Commission Calculator MCP exposes 5 tools: 1. calculate_commission — Computes exact earnings per agent given an annual premium and a hierarchy of contract percentages. Returns direct commissions and override spreads at every tier. Preferred input: annual_premium (number) + agents array with name and contract_pct per tier. Example output: IMO override $1,200 / BGA override $1,200 / Agent direct $10,800 / Total distributed $13,200. 2. build_hierarchy — Takes named tiers and returns a validated, sorted hierarchy ready to feed into calculate_commission. Also provides 4 pre-built templates: Standard BGA, BGA with MGA, Direct Agent, and Multi-Level. Preferred input: tiers array with name and contract_pct per level. Example output: sorted tier list with validation status and 4 template options. 3. validate_hierarchy — Checks a hierarchy against a specific carrier's allowed contract ranges before submission. Returns a pass/fail result with tier-by-tier errors and warnings. Preferred input: carrier name (e.g. "protective", "mutual-of-omaha") + hierarchy array with name and pct per tier. Example output: overall PASS/FAIL, per-tier range check results, and a warning count. 4. get_carrier_info — Returns typical contract percentage ranges per tier (Agent, MGA, BGA, IMO) and maximum hierarchy totals for 6 supported carriers. Call with no argument to list all available carriers. Preferred input: carrier name (optional). Omit to get the full carrier list. Example output: Agent range 85–100%, BGA range 105–120%, IMO range 115–130%, max hierarchy 145%. 5. onehq_info — Returns a structured overview of the OneHQ platform (ICM, CRM, DMS, Agent Portal, Data Visualization) with relevant links. Optionally filter by topic to narrow results. Preferred input: topic string (optional) — e.g. "commissions", "crm", "agent portal". Example output: matching module name, description, and documentation link.