"Connecting to SEC EDGAR MCP using Bedrock Models" matching MCP servers:

Enables AI agents to search, fetch, create, update, comment on, and resolve ServiceNow incidents using the caller's own bearer token, so all actions respect the token owner's ServiceNow ACLs.

Enables MCP clients such as Claude Desktop and Claude Code to read café rules, rota, and staff data, check proposed rota changes against the owner's rules, and evaluate customer chat replies before sending. Every tool is read-only, with code checks applied first and AI judging used only when needed.

Enables AI-driven customer support ticket processing, including classification, response generation, and automated email sending and Google Sheets logging.

Enables AI agents to prompt users for input directly within the chat UI using MCP's elicitation capabilities, allowing for interactive multi-turn conversations without leaving the conversation interface.

Enables semantic search and analysis of customer support tickets. Provides tools to search tickets, analyze the dataset, and retrieve individual tickets using natural language.

Enables AI agents to search, browse, and retrieve articles from the Wealthsimple Help Center via 7 typed tools (search, taxonomy, article retrieval) using the public Zendesk API.

Enables reading and replying to Google Play Store reviews using the Android Publisher API, with no extra functionality to limit security risk.

Get live UK 3D printing prices for your own STL/3MF/STEP files or Printables and Thingiverse models, with a checkout link. Also finds mail-in electronics repair prices and checks order or repair progress.

MCP server that provides tools for order lookup, return eligibility checks, return processing, billing status, and human escalation, simulating a return/billing inquiry triage system using local JSON data.

Demo MCP server for booking confirmed sales appointments through Claude. Allows users to request appointments, check status, and get detailed BANT briefings using natural language, with realistic fake data for demonstration.

Enables AI assistants to read IT asset management, ITSM, and network inventory data from Alloy Navigator via its REST API, supporting object queries, activity logs, and reference-value lookups using OAuth2 application credentials.

Enables AI agents to create, query, search, and manage Movidesk tickets directly via natural language.

Enables LLMs to search and retrieve Autotask tickets, companies, and contacts using advanced semantic search and AI-powered reranking.

Enables local MCP clients to interact with the Superchat public API, supporting contact search, conversation management, notes, exports, and message sending using your own API key.

Enables MCP clients to interact with Zammad tickets, articles, search and replies under each caller's own permissions, using either a static token or SSO/OIDC per-user mode.

Provides 77 tools for AI agent communication, enabling agents to manage emails, phone messaging, domains, and webhooks. It allows AI models to interact with the Anima platform to automate workflows and administrative tasks across various communication channels.

Manage your entire notification infrastructure using natural language. Trigger workflows, create users, manage preferences, update tenant branding, and access docs — all from Cursor, Claude Desktop, or Windsurf. 24 tools covering email, SMS, push, WhatsApp, Slack, MS Teams, and in-app notifications.

Provides reusable MCP tools for Amazon Connect AI Agents and Bedrock AgentCore to look up customers, manage support tickets, schedule appointments, update CRM records, retrieve knowledge, and create tasks.

Enables AI agents to manage phone numbers, send/receive SMS, and place voice calls through natural language, connecting to the phone network via the AgentPhone API.

Enables AI assistants to answer a small business's customer questions from its own FAQs and order data, list upcoming open appointment times in the business's time zone, and book one of those offered slots with staff notification. Free for the first 1,000 businesses, using fast rule-based FAQ matching rather than free-form generation.