"Information about Salesforce" matching MCP servers:

Integrates Claude with Salesforce for natural language interactions with Salesforce data and metadata, enabling querying, modifying, and managing objects and records.

Enables comprehensive Salesforce metadata management from MCP clients, providing 221 tools for creating objects, fields, Apex, flows, LWCs, Agentforce agents, and more.

Salesforce MCP Server

A Model Context Protocol server that enables LLMs to interact with Salesforce data through SOQL queries, SOSL searches, and various API operations including record management.

A Model Context Protocol server for Salesforce development workflows, enabling org lookup, metadata deploy/retrieve, SOQL queries, Apex tests, and permission set assignment.

Enables natural language interaction with Salesforce for data operations, schema management, DevOps, and analytics via 39 specialized tools.

Enables creation and updates of Salesforce Product2 records via the REST API with write-only scoped access, requiring confirmation before actual writes.

Enables authenticated interaction with Salesforce through OAuth Bearer token forwarding. Allows users to make API calls to Salesforce instances while maintaining secure session-based authentication throughout the MCP lifecycle.

Enables lead management and permission set operations on Salesforce through the MCP protocol.

Enables Microsoft 365 Copilot to interact with Salesforce through REST APIs, supporting queries, object descriptions, pipeline summaries, and anomaly detection.

Enables interaction with Salesforce data and services via custom MCP tools, including account analytics, opportunity queries, case creation, and AI agent invocation.

Deploys and manages projects on Swigs Cloud from any MCP client, turning folders or git repositories into live HTTPS sites in about two minutes.

An MCP server that provides offline searchable Microsoft 365 roadmap data and live Azure status, enabling AI agents to answer questions about upcoming features, roadmap changes, and Azure incidents.

Cloud cost management MCP server for Azure. Ask your AI about your cloud bill.

A Model Context Protocol (MCP) server that interfaces with the Apache YuniKorn Scheduler, allowing AI agents to observe and reason about Kubernetes batch workload resource management, queue hierarchies, and application states.

Exposes Microsoft 365 privacy/compliance audit checks as MCP tools, enabling natural language queries about tenant configuration, orphaned documents, Conditional Access policies, DLP policies, and Copilot usage.

Enables natural-language queries about Azure resource compliance, including VM compliance, patch status, orphaned RBAC, and infrastructure health, through read-only MCP tools.

Enables AI assistants to search and retrieve information about Terraform providers and modules from the public Terraform registry, including detailed documentation, version information, and resource specifications.

Read-only MCP server that exposes Kubernetes platform state (tenants, pods, SLOs, ArgoCD applications, chaos schedules, and catalog services) to AI agents, enabling natural language queries about cluster health and configuration.

Enables you to interact with your Fivetran environment through natural language, supporting read-only queries about connections and syncs, and write operations like updating sync frequency when enabled.