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115,747 servers. Updated
20 Best Email MCP Servers: compared and ranked, November 2026Ranked from 3,360 matching servers on stars, growth, downloads and maintenance. Updated .

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    Enables AI assistants to access and manage Jobber field-service data including clients, jobs, invoices, and quotes through natural language interactions.
    6
    53 npm
    MIT
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    quality
    C
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    Connects AI assistants to Jira Service Management instances, providing 40 tools for managing service desks, requests, comments, customers, organizations, queues, SLA, approvals, and attachments.
    40
    1
    MIT
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    A Model Context Protocol service for Claude that enables natural language interaction with Microsoft Todo tasks, including viewing task lists, creating tasks, and managing checklist items.
    13
    6 npm
    23
    ISC
  • A
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    MCP server for Kickserv field service management that enables AI agents to read and manage customers, jobs, and invoices through natural language.
    7
    MIT
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    B
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    Lets a volunteer view their own Planning Center serving schedule, team members and contacts, order of service, and song attachments, and add, remove or skip blockout dates. It authenticates with the user's Personal Access Token so it only exposes what they can already see in Planning Center.
    11
    MIT
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    Enables managing agile project boards with automated agent-driven workflows, enforcing stage gates and generating service and MCP client configurations.
    Apache 2.0
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    B
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    Enables AI agents on the MSPbots Agent Platform to work inside ConnectWise PSA, covering service tickets and notes, companies, contacts, projects, time and schedule entries, configurations, activities, catalog and inventory, agreements, invoices, opportunities, and purchase and sales orders. It runs as a stateless HTTP service behind the MSPbots MCP gateway, with each tenant's credentials passed as request headers on every call so nothing is stored between requests.
    Apache 2.0
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    This server provides a Model Context Protocol interface for a local task management service. It enables AI assistants to manage tasks, organize projects, and view daily schedules through a robust set of provided tools.
    MIT
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    Enables AI agents to interact with Gmail for classifying messages, extracting action items, and performing batch inbox triage. It supports automated labeling, smart replies, and task creation for external platforms like Linear, Jira, and Todoist.
    -
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    Enables searching a finance, trading and quant job board and managing your application pipeline, including stages, notes, reminders, and email preferences, through 24 MCP tools.
    MIT
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    Connects AI assistants to TeamDynamix, enabling natural language search and management of tickets, knowledge base, people, assets, projects, time entries, reports, service catalog, and custom attributes.
    1
    MIT
  • A
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    Enables Claude to interact with ServiceNow instances for incident management, service catalog operations, change requests, knowledge base management, user administration, and agile project workflows through various authentication methods.
    MIT
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    Enables AI assistants and MCP clients to read, create, and update LegalOne data—lawsuits, litigations, contacts, appointments, tasks, updates, documents, practice areas, service types, and custom fields—via OData-filtered endpoints and OAuth2 authentication.
    1
    MIT
  • A
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    Free service management tools — playbooks, benchmarks, and instant service health analysis. DigitalCore MCP gives you free access to service management expertise directly in your AI assistant. Run a Service Reality Check to score your service health in 60 seconds. Access strategy playbooks for ser
    MIT
  • A
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    Connects AI assistants to GLPI IT Service Management, enabling ticket management, asset search, and ITIL processes via natural language.
    8 npm
    4
    MIT
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    Enables AI models to interact with Freshservice IT service management platform, allowing automated ticket management, change requests, asset tracking, and solution article operations through natural language commands.
    MIT