Exposes a fictional B2B CRM database (companies, contacts, deals) as callable MCP tools, enabling AI agents to answer natural-language questions about company records, contacts, and pipeline data.
Enables AI agents to interact with multiple CRM systems through a unified set of MCP tools, such as finding contacts, accounts, and deals, while supporting mock, REST, and vendor-specific backends.
A read-only MCP server providing structured access to CRM data (companies, contacts, deals, activities) backed by SQLite. It enables LLMs to search contacts and deals, view full company accounts, find stale deals, and get pipeline summaries.
Exposes the entire CRM as rows in Postgres via 73 MCP tools, letting AI agents create, read, update, and manage tables, documents, dashboards, chat, calendar, agent memory, web research, and images through the same operations as the UI.
A local-first CRM that exposes customer and project management tools via the Model Context Protocol (MCP), including an analytics server. It integrates seamlessly with Claude Code or a custom LlamaIndex ReAct agent.