"Affinity" matching MCP servers:

Lets Claude drive the Affinity design app on macOS like a person would, taking screenshots and then clicking, dragging, typing, pressing shortcuts, and choosing menu items. Works with any Affinity version or studio without API keys or plugins.

Enables AI agents to control Affinity by Canva on Windows through natural language, including document operations, tool selection, layer manipulation, mouse/keyboard input, and real-time visual feedback via screenshots.

A FastMCP server backed by Postgres that demonstrates MCP tools, resources, and prompts, with a focus on session affinity and load balancing via HAProxy.

Enables real-time out-of-stock grocery cart substitutions by enforcing dietary constraints, unit price delta ceilings, and brand affinity scoring to select suitable replacement products.

This MCP server enables agents to handle real-time out-of-stock grocery items by scoring candidate replacements against dietary constraints (vegan, gluten-free, organic), unit price delta ceilings, and brand affinity. It returns a deterministic substitution verdict with the chosen replacement, so carts can be repaired automatically without human intervention.

Enables Claude Desktop or Code users to converse in natural language to find Spanish official gazette (BOE) notices — scholarships, aid, public employment and subsidies — that match their profile, via a local searchable index, watchlist-based affinity ranking, deadline alerts and application logging. It also keeps the index fresh automatically and links always to the official text without ever judging eligibility.

Enables agents to analyze cart items and intent, compute product complementary affinity scores, respect merchant margin constraints, and synthesize personalized discount bundles for cross-sell recommendations.

A Python MCP server on Cloudflare implementing the stateless MCP 2026-07-28 protocol, enabling load-balanced and scalable tool execution without session affinity.

MCP server for biological protein design, folding, and affinity prediction using Refua tools, with optional support for ADMET, clinical simulation, preclinical planning, wet-lab automation, and more.

Enables AI agents and MCP clients to identify creator audience lookalike clusters and measure affinity overlap, producing structured output dossiers with deterministic zero-dependency execution.

Enables analysis of cart items and shopper intent, computation of complementary product affinity scores, enforcement of merchant margin constraints, and synthesis of personalized discount bundles and cross-sell recommendations via MCP.