"Understanding Inference Models" matching MCP servers:

Node.js + TypeScript server that runs Synapse AI agent graphs with Salesforce integration, performing all AI inference and MCP tool execution to keep Apex within governor limits.

An MCP server implementation that integrates with Freshdesk, enabling AI models to interact with Freshdesk modules and perform various support operations.

MCP server for integrating AI models with Emeritus services, enabling user management, tag operations, order management, and leads import via a standardized interface.

Enables AI models to send emails, manage contacts, and interact with SendGrid's email platform via MCP.

Enables AI models to interact with Oracle Siebel CRM via its REST API, supporting account, contact, opportunity retrieval, activity creation, record updates, and custom queries.

Enables AI models to interactively explore, analyze, and manage Salesforce organizations through OAuth2 authentication and standardized tools.

MCP server for Salesforce that exposes CLI, REST, Connect, Data 360, Bulk 2.0, and Einstein Models APIs as tools for any MCP-compatible client to manage orgs, data, and metadata.

Exposes a professional services pipeline prediction model with tools to score opportunities, validate inputs, and retrieve model metadata such as win probability, fees, and margin.

Enables language models to interact with Bitrix24 CRM, providing tools to manage deals, leads, contacts, tasks, activities, users, files, chat messages, and live chat sessions.

Connects AI assistants to the Ploomes CRM, exposing 153 tools for CRUD operations on entities, pipeline and field configuration, CPQ proposal models, automations, and webhooks.

Enables AI models to interact with Zoho CRM via Model Context Protocol, supporting CRUD operations, COQL queries, search, and deal stage management.