"DAF" matching MCP servers:

Enables natural-language interaction with TypeSafe's Jev decision API, supporting mixed question calls, batch evaluation, model listing, and confidence or composite-score gates over stdio.

Enables AI agents to look up and text-search Danish addresses, access addresses, streets, postcodes and cadastral parcels from the national address register, with DAR UUIDs, status codes and WGS84 coordinates. Includes raw GraphQL passthrough and schema retrieval for the keyed Datafordeleren service.

Gives an AI agent complete knowledge of a specific DevExpress XAF application: its entities, controllers, actions, business rules, Model Editor customizations, custom property editors and the version-gated data migrations that ran once on a production database. Reads the source with Roslyn without compiling it, so it works on a branch that does not build and needs no DevExpress licence.

Enables coding agents to connect to Debug Adapter Protocol debuggers over MCP, allowing them to launch or attach to native targets, control execution, set breakpoints and watchpoints, inspect stacks, variables, memory, and exceptions, and capture agent-friendly debugger snapshots.

AI-powered data integration platform. Onboard users and run DPF data workflows.

.FAF (Foundational AI-context Format) with 50+ tools - Only Persistent project context that integrates seamlessly with Claude Desktop workflows. Officially merged (#2759) Anthropic MCP server.

Turn any calendar, contact book, or task list into an AI-orchestrated system. Platform-independent via CalDAV/CardDAV works with Nextcloud, Baikal, Fastmail, and any standards-compliant DAV server. 26 tools with field-agnostic updates.

Persistent project context for Google Gemini. 12 MCP tools for .faf Project DNA — auto-detect your stack, validate, score, and sync across CLAUDE.md, GEMINI.md, and AGENTS.md. Python/FastMCP. IANA-registered format (application/vnd.faf+yaml). 183 tests. One file, every AI platform.

Persistent project context MCP server that syncs a single .faf file to all AI tool formats (Cursor, Windsurf, Cline, etc.), enabling eternal bi-sync and optimized context for AI assistants.

Live market intelligence for AI agents, paid per call in USDC on Base via x402 — no API key or signup. SEC insider trades and insider cluster buying, Polymarket and Kalshi prediction-market odds and 24h movers, 24 US macro indicators with an economic release calendar, and analytics on the x402 agent economy (service rankings, trends, pricing, and a usage-ranked search for paid APIs). Data refreshe

Grok asked for MCP on a URL. This is it. First MCP server built for Grok URL-based • Zero config • Just works

Enables AI models to query and compare Brazilian card machine MDR rates and monthly costs across brands and business profiles, including tools for listing brands and tiers, calculating costs, and ranking options.

Enables interacting with Planhat customer data via natural language, supporting CRUD operations on companies, contacts, opportunities, notes, conversations, users, assets, issues, tickets, tasks, licenses, and invoices.

MCP server for the Trollspace API that exposes 47 type-safe tools for managing snippets, nuggets, todos, ideas, tools, repos, travel, subscriptions, and more.

ismail is a DAW your agent drives through MCP, CLI or Python. The agent writes notes, instruments, effects and automation as data. ismail's own engine renders the audio, and every render comes back as text the agent can read. No AI model generates the audio. It runs on your own machine. It is free and open source. https://github.com/newsbubbles/ismail

Enables agents to synthesize multi-tab enterprise spreadsheet financial models, detect circular references, compile formula dependency DAGs with functions like SUMIFS/XLOOKUP/CAGR/NPV, and evaluate deterministic preview cell matrices.

Enables agents to break high-level business objectives into dependency-ordered sub-task graphs and then directly generate the finished deliverables, such as financial spreadsheets, executive presentations, and analytical reports. It runs as a zero-dependency Python MCP server over JSON-RPC stdio, adding deterministic authorization, role-boundary validation, and telemetry.

Access 17M+ geocoded French property transactions (DVF), 22M+ DPE energy ratings, and 20M+ building records via MCP or REST API. Search transactions, market stats, comparables, price trends, rental yield, flip detection, and more.

Opens, inspects, and renders DXF/CAD drawings for AI agents: describe_dxf returns structured facts (layers with actual drawn colors, units, bounds, text content) and render_dxf returns PNG images. On MCP Apps hosts like ChatGPT and Claude, view_dxf opens an interactive in-chat viewer with pan, zoom, and layer toggles.

Enables autonomous planning by decomposing prompts into directed acyclic task graphs and resolving dependency topologies for multi-agent pipelines.