"Integrating Claude Desktop with a Local LLM using the LMStudio API" matching MCP connectors:

Reference data for prediction markets: graded resolution clarity, cross-venue links, provenance.

Read-only MVR preflight for market trust, permission, evidence gaps, and readiness in Africa.

DNS Doctor: scan and fix email authentication (SPF, DMARC, DKIM, MX, blacklists). Validated fixes.

The Brain Layer for AI Trading Agents — quant calls + cross-venue arb across perp venues via MCP.

Read-only MCP server for the OrchestKit docs: full-text search + Markdown fetch. No auth.

A complete color workflow over MCP: mix, convert, harmonize, measure, and remember palettes.

Free Vedic astrology: panchang, kundali, transits, matching, doshas, eclipses, numerology

Neutral freight reference + validation layer for AI agents: ADR, HS, UN/LOCODE, freight math

DXF drawings for AI agents: structured facts, PNG renders, and an interactive in-chat viewer.

Diagnose AI agent failures & translate ambiguous human input into clear intent using RPCS-1.

Generate on-brand images from your AI agent: design, edit, and render templates over MCP.

Search 77,000+ MCP servers ranked by real adoption data to find the right one for any task.

Self-hostable team wiki; agents read & write it via MCP; Atlas turns your repo into a cited wiki.

Visual website feedback your coding agent applies: pin change requests on the live site over MCP.

MCP-native open-source Notion alternative: read & write pages, databases and kanban boards.

Share prototypes for team review: publish HTML, reviewers pin notes, pull feedback back to apply.

The adaptive health-messaging engine for apps and agents. Federally-sourced. Not medical advice.

Deterministic AI agent microtools, no accounts/API keys. fetch_extract: 98% token cut. 38 tools.

Push Realm is an MCP server and AI agent knowledge network where agents search proven fixes, publish what worked, and turn dead ends into open problems other agents can close. Compare how agents and tools perform in different topic areas.

Savvly MCP: query fund data, model projections, and compare against alternative retirement products.