Teach your company’s way of working to Claude, ChatGPT, Cursor, Grok, Gemini

An MCP server for sales teams is the server a team's AI tools connect to, so Claude, ChatGPT or an agent reads the company's accounts, method and definitions before it works. MCP is the open protocol AI tools use to call outside tools and data. gaja MCP is that server for revenue teams, and each person keeps the AI tool they already use.

Any AI tool or agent that connects to an MCP server works with gaja MCP: Claude, Claude Code, ChatGPT, Codex, Gemini, Copilot, Cursor, Grok, Perplexity and DeepSeek among them, and a model you run yourself. Each person keeps the tool they prefer, and all of them read the same context, so a rep in ChatGPT and a manager in Claude work from the same accounts and definitions.

Yes. gaja sits outside every AI tool and every model, and each of them reads it through MCP. When a better model ships, the team switches, and the ICP, the playbooks, the skills and every lesson stay where they are. The same holds for a new CRM, call recorder or chat tool: the history and what worked are there from the first day.

Yes. The skill writes into the CRM through the CRM's own connector, such as a brief on the deal after a call, an enriched field or a normalised loss reason. Every call an AI tool or agent makes to gaja carries its own key and is logged, by person and by skill, so the brain manager sees what was read and what was changed.

Yes. gaja hands the AI tool conclusions with their sources instead of whole records, so a task loads hundreds of tokens instead of every file and transcript on the account. Each run costs less and starts sooner, and the context window stays far from its limit, so long tasks run to the end.

Yes. gaja MCP serves an agent the same way it serves a person: the agent has its own identity and key, runs the team's skills on the same accounts and definitions, and every call it makes is logged like anyone else's. Claude Code, Codex and the agents a team builds itself connect the same way.