"namespace:com.connorgallic" matching MCP connectors:
Savvly MCP: query fund data, model projections, and compare against alternative retirement products.
The Brain Layer for AI Trading Agents — quant calls + cross-venue arb across 5 exchanges via MCP.
Repos indexed with Moxie Docs can use our MCP to let agents fetch codebase conventions, find affected docs from changes, pull outdated docs to update, and identify orphaned docs to keep up to date. Let your agents keep your documentation accurate and updated at all times.
Cross-venue Polymarket+Kalshi arbitrage: resolution mismatch, void risk & settlement divergence.
Host-owned vacation-rental direct booking via VRP. Signed offers, 0% commission. Not an OTA.
Detect breaking changes, generate changelogs, diff, and validate OpenAPI specs.
Entity resolution — data mapping, SDK code generation, docs search, and error troubleshooting
Find the stories worth writing about: discover emerging stories, rank the angle, draft from sources.
Tesouro em Foco is a free remote MCP server that brings Brazilian government bond (Tesouro Direto) pricing into AI assistants such as Claude, Cursor, and any MCP-compatible client. The engine implements the Brazilian National Treasury's official pricing methodology — validated against 269,000+ real trades — and covers all retail bond types: fixed-rate (LTN, NTN-F), inflation-linked (NTN-B Principal, NTN-B), and retirement/education bonds (Renda+ and Educa+, NTN-B1).
A quant-factor brain for your AI — factor scores, similarity search, and risk-coherence analogues for 14,684 tickers across 6 asset classes
Brazilian Federal Senate open data over MCP — 65 tools, 4 prompts, 5 resources.
Official MCP server of Origine Paris: recycled gold and IGI-certified lab-grown diamond jewellery.
Search 59,000+ MCP servers ranked by adoption to find the right one for any task.
US crime scores, incidents, neighborhood demographics, rent data, and offender search by address.
Lets AI agents get leads on the phone: call, send SMS, and schedule callbacks for sales teams.
Private MCP people matching for AI agents; no public listings, contact revealed only on a real fit.
People matching through your AI — private, agent-to-agent; details shared only on a match.