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Salesforce-Agent-Chatbot-with-MCP-Architecture
This project provides a sophisticated chatbot for Salesforce call center agents utilizing MCP architecture. It leverages Gemini Flash model as its core reasoning engine, with LangChain for tool creation and LangGraph for orchestrating complex, stateful conversations.
1stars
1forks
Python
agentic-aicall-centerchatbotconversational-aidatabase-managementgemini-apilangchainlanggraphllmmodel-context-protocolpythonsalesforce
Quality signals
StaleNo testsNo CIThin docsNo licenseNew
InstallMCPRun via uvx (Python)
Universal installANY TOOL
$ npx skillcity@latest sybachpunk/Salesforce-Agent-Chatbot-with-MCP-ArchitectureAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
uvx salesforce-agent-chatbot-with-mcp-architecture
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"salesforce-agent-chatbot-with-mcp-architecture": {
"command": "uvx",
"args": [
"salesforce-agent-chatbot-with-mcp-architecture"
]
}
}
}Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
salesforce-agent-chatbot-with-mcp-architecture — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt