MCP Servers
Most AI agents today are good at generating natural language responses, but that’s where it stops. They can chat, summarise, or simulate helpfulness, yet they’re completely disconnected from your internal tools, databases, or live systems. Without the ability to fetch current data or trigger actions, these agents become nothing more than sophisticated chatbots. For real business impact, your AI needs access and not just language.
That’s where the Model Context Protocol (MCP) comes in. MCP connects your AI agents to the tools they need to do real work – securely, modularly, and with full control. With Trismeg’s native support for MCP, you can integrate agents with CRMs, internal APIs, product databases, analytics tools, and more. Your agents don’t just talk. They check stock, escalate tickets, send follow-ups, and adapt based on real-time data.
We support a growing library of officially maintained MCP servers and tools.
To do more than just respond, your AI agents need access to real tools and real data. With Trismeg’s native support for the Model Context Protocol (MCP), you can securely connect agents to CRMs, internal APIs, product databases, analytics platforms, and more – all from your own infrastructure. MCP gives you the power to build agents that don’t just talk, but act. Whether it’s triggering workflows, updating records, or making decisions based on live data, Trismeg ensures your agents stay connected, controlled, and production-ready.
Pre-built MCP integrations let teams launch agents connected to real tools in days.
- Update CRM records and lead details in real time.
- Trigger internal workflows and process automations
- Fetch product info or usage data on request
- Escalate tickets or open new support cases
- Check stock availability or system status
- Log interactions into analytics platforms
- Push structured updates to spreadsheets or databases
- Agents take real action inside your systems.
- Reduce manual tasks for support, ops, and sales teams.
- Deliver accurate answers backed by real-time data.
- Standardise agent behaviour across tools and workflows.
- Resolve issues faster with intelligent task support.
- Accelerate onboarding with guided, interactive experiences.
Agents choose available tools dynamically based on prompt context. That means permissioning is crucial: each tool must be explicitly scoped to an agent. Trismeg supports human-in-the-loop review and guardrails when you assign agent access to MCP tools.
MCP is built to keep control in your hands. You deploy servers within your secure infrastructure, and you grant permissions directly at configuration time. No credentials or data are handled by third parties unless you choose to share them. This design supports strong compliance and privacy control.
MCP enables live data access, but the trade-off can be slight latency. If your MCP server is slow or overloaded, agent responses may be delayed. Performance tuning and monitoring, such as tool caching or load balancing are highly recommended.
Trismeg includes a curated library of officially supported MCP integrations – covering CRMs, Slack, GitHub, Google Drive, SQL and many more. You can also register custom MCP endpoints if your tool isn’t already listed.
Yes. Since launching in late 2024, the protocol has been rapidly adopted by major AI platforms including OpenAI, Microsoft, DeepMind, Replit, Sourcegraph and others. While interoperability grows, new security frameworks like “MCP Guardian” are emerging to audit and validate tool safety across deployments
Yes, there are emerging risks. Research shows that poorly secured MCP servers can allow attackers, even with minimal programming skills, to exfiltrate data or execute malicious actions by combining multiple compromised server. To stay safe, use only trusted or officially verified MCP servers and audit their permissions before granting access.