A FastAPI-based server that enables interaction with Salesforce through the Model Context Protocol. It provides tools for managing leads and configuring user permission sets within the Salesforce environment.
Enables interaction with Salesforce through REST, Bulk API, and SOQL for comprehensive CRM management across objects like Leads, Accounts, and Opportunities. It provides a structured interface for performing CRUD operations and executing complex queries via the Model Context Protocol.
Integrates Claude with Salesforce to enable natural language querying, modification, and management of Salesforce records and metadata. It supports comprehensive operations including object/field management, SOSL searches, and Apex code execution.
A natural language interface for Salesforce data that allows users to query accounts, opportunities, contacts, leads, and activities through conversational prompts. It supports SOQL queries and provides tools for data retrieval and analysis without requiring technical Salesforce knowledge.
A comprehensive server that transforms Claude Desktop into a Salesforce IDE for managing metadata, executing SOQL queries, and automating multi-org operations. It provides 60 optimized tools for intelligent debugging, bulk data management, and Apex testing through natural language commands.
Enables interaction with Salesforce organizations through SOQL queries, object discovery, and metadata inspection. Provides seamless access to Salesforce data and schema information through the Salesforce CLI.
Enables interaction with Salesforce orgs to perform operations like querying data with SOQL, managing records, and executing Apex code. It provides configurable access levels and support for both standard and Tooling APIs via natural language interfaces.
Enables AI agents to interact with Salesforce CRM data by executing SOQL queries and managing records. It provides tools for object metadata discovery and record operations, specifically optimized for Heroku deployment.
Enables AI-powered analysis of sales call transcripts through natural language queries, allowing users to search conversations, identify objections, and extract insights from customer calls without manually reviewing recordings.
Provides AI assistants with access to sales data tools, including fetching quarterly sales information, listing available quarters, and generating sales analysis prompts for business insights.
Next.js ile geliştirilmiş MCP Server Test Projesi
Enables MCP clients to interact with Sally AI assistant using x402 blockchain-based micropayments for secure, transparent transactions.
Implementation of Solana Agent Kit MCP Server
全面解析Samihalawa MCP Server Ai VisionMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,Samihalawa MCP Server Ai Vision能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。
Collection of examples of how to use Model Context Protocol with AWS.
A simple example of MCP server.
Production-ready MCP server for secure Python code execution with artifact capture, virtual environment support, and LM Studio integration.
Create disposable email inboxes, extract OTP codes in 15 languages, and receive webhooks — all from your AI agent. One call: create inbox → wait for email → get the verification code. Supports 7 domains, email forwarding, and HMAC-signed webhooks with OTP included in payload. Free tier available.
An MCP server that enables AI assistants to interact with SAP systems via the ABAP Development Tools (ADT) REST API. It allows users to read ABAP source code, inspect DDIC objects, and execute SQL queries directly.
Enables interaction with SAP Business One API through Azure Container Apps with VNet connectivity. Provides secure access to SAP data and operations through natural language interface.




