Model Context Protocol (MCP) Server Directory

Financial teams in 2026 run agentic AI for continuous disclosure monitoring, and SEC EDGAR is the data source - keyless but governed by a 10 requests/second cap and a mandatory descriptive User-Agent. This guide builds edgar-mcp, a TypeScript MCP server wrapping EDGAR's full-text search, submissions, XBRL company facts, and RSS filing feeds with inputSchema contracts, caching, rate-limit compliance, and an agentic 8-K alert workflow.

Digital Science launched two Dimensions MCP servers on August 10, 2026 - Semantic Search MCP and Analytics MCP - giving AI agents license-aligned access to 430M+ interconnected research records. This guide builds dimensions-mcp, a Python FastMCP gateway wrapping the Dimensions API with typed search tools, inputSchema contracts, pagination, result caps, rate limiting, and OAuth/API-key security, plus a literature-review agent workflow.

On August 2, 2026 the EU AI Act's remaining obligations started applying — including the transparency rules and the high-risk regime that classifies much of multi-agent orchestration in high-impact sectors. This guide builds a FastMCP Python server, eu-ai-act-mcp, that helps builders audit their agentic systems against the obligations: risk classification, transparency disclosures, documentation generation, and conformity-assessment evidence tracking.

Autodesk has been shipping MCP servers across its platform — Fusion MCP servers that run locally and let agents model and execute Fusion commands, plus a read-only Product Help MCP server and Autodesk Platform Services MCP connectors. This guide builds a production FastMCP Python gateway, fusion-mcp, that wraps Fusion design automation and Platform Services into typed agent tools — model query, parameter editing, geometry export, and design-task execution — with OAuth 2.0, session isolation, and a design-change approval gate.

Nutanix released an open-source Model Context Protocol server on August 10, 2026, letting AI assistants like GitHub Copilot interact with Nutanix Cloud Platform through Prism V4 APIs. This guide builds a production FastMCP Python server, prism-ops-mcp, that wraps Prism V4 into typed agent tools — cluster health, host inventory, VM listing, storage utilization, and safe operations — with read-only defaults, OAuth 2.0 auth, and an approval-gated action surface.

SnapLogic's August 13, 2026 release turned MCP into infrastructure: a dedicated Platform MCP Server with eight discovery and export tools, pipelines exposed directly as tools, MCP Metrics in Monitor, and RFC 8693 token exchange for scoped downstream credentials. This guide builds a production FastMCP Python server that wraps the SnapLogic platform into typed agent tools — discovery, pipeline export, project inspection, and tool invocation — with token exchange and audit built in.

Adobe's Marketo Engage MCP Server connects AI assistants to more than 100 operations across forms, programs, smart campaigns, leads, and emails. This guide builds a production FastMCP TypeScript server that wraps Marketo into typed agent tools — program health, campaign status, lead routing, and form management — with OAuth 2.0 and action-level RBAC.

Getty Images launched an MCP Server on August 12, 2026, connecting its creative and editorial content catalog to AI workflows and products through a single integration. This guide builds a production FastMCP Python server that wraps the Getty Images API into typed agent tools — creative search, editorial search, curated collections, and asset metadata — with OAuth 2.0 client-credentials auth, license-aware result filtering, and rate limiting.

Spotware launched cTrader CLI on August 13, 2026, giving AI agents direct command access to accounts, cBots, backtests, and market data — and letting third-party AI apps turn natural language into trading commands. This guide builds a production FastMCP TypeScript server that wraps cTrader into risk-gated agent tools: positions, backtests, cBot management, and market data, wired into Claude Desktop with strict risk controls.

Kaiterra launched Kaiterra AI and the Kaiterra MCP on August 12, 2026, letting real estate, facilities, and sustainability teams ask plain-language questions about indoor environmental quality and connect Kaiterra monitor readings to other AI systems. This guide builds a production FastMCP Python server that wraps the Kaiterra API into typed agent tools — live readings, trend analysis, alerts, and portfolio health — and wires it into Claude Desktop and LangGraph.

Prisma Cloud alerts are more accurate than ever and still too many to triage by hand. Build a Python FastMCP server that gives agents alert detail, compliance posture, asset context, and a guarded ticket-only remediation path.

Qualtrics holds the CX data that drives product roadmaps but was built for humans at dashboards. Build a TypeScript FastMCP server that exposes surveys, responses, XM contacts, and rate-limited distributions as typed tools for any agent.