MCP Integration

Connect AI to any
MCP tool ecosystem

With MCP server support, you can connect your AI assistants to external tool ecosystems instantly. Discover tools automatically, enforce permissions, and run agentic workflows across your systems — without building one-off integrations.

Auto
Tool Discovery
No manual wiring
RBAC
Access Control
Permissioned tools
Multi
Servers
Scale across systems
Logs
Observability
Audit every call

What MCP Unlocks

Standardize tool access for AI assistants — with security and visibility built in.

Connect to MCP Servers

Add any MCP server endpoint and make its tools available inside MonoChat.

  • Bring external tool catalogs into MonoChat
  • Multiple MCP servers per workspace
  • Environment-based configs (dev/prod)
  • Zero one-off integration work

Standardized Tool Discovery

Tools are discovered and exposed in a consistent format for LLM usage.

  • Unified tool interface across providers
  • Structured parameters and outputs
  • Tool metadata and descriptions
  • Faster iteration for new tools

Security & Permissions

Control which tools AI can call, under which roles, and under what constraints.

  • Role-based permissions (RBAC)
  • Credential and token management
  • Allowlist tools and actions
  • Rate limits and safety policies

Operational Visibility

Track, debug, and optimize tool usage across assistants and workflows.

  • Tool call logs and traces
  • Failures, retries, and timeouts
  • Usage analytics per tool/server
  • Audit-ready history

Use Cases

How teams use MCP to power assistants, integrations, and workflows.

Agent Tool Ecosystem

Give AI assistants a library of tools across multiple systems using MCP.

Example: AI → discover tools → call actions → complete task

Faster Integrations

Stop building custom connectors repeatedly. Connect once via MCP, reuse everywhere.

Example: Add MCP server → tools appear in AI & flows

End-to-End Journeys

Combine MCP tools with workflows to orchestrate full customer journeys.

Example: Event → workflow → AI tool calls → state updates

Key Benefits

Build once, connect many — and keep everything controlled and observable.

Faster Time-to-Value

Integrate tool ecosystems in minutes instead of weeks of custom work.

Scale Safely

Add more tools and servers while keeping permissions, auditing, and control.

Standardized Tooling

LLMs interact with tools through one consistent contract and structure.

Future-Proof Integrations

Adopt new MCP tools and providers without refactoring your platform logic.

Connect Your First MCP Server

Bring external tools into MonoChat and let AI assistants execute end-to-end tasks with safety and observability.

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