One MCP endpoint
Give AI clients one stable entry point instead of configuring every system separately.
One gateway · controlled access
One MCP gateway for the systems you already run.
Give each AI client one connection. Any2MCP applies identity, permissions and audit, routes approved requests to your systems, and can relay governed collaboration between two AI clients.
One connection in. Controlled access out.
Keep one MCP endpoint for your AI clients while Any2MCP manages which systems, actions and data each client may reach.
What Any2MCP gives you
Private-network agents
Reach internal servers through lightweight agents that connect outward over encrypted WebSockets.
Cloud and API access
Use approved integrations for business applications, infrastructure services and HTTP APIs.
Fine-grained permissions
Decide which client may use which capability on which connected system.
Audit and visibility
Keep a record of access and activity instead of sharing untracked credentials with AI tools.
Reports and dashboards
Have an AI client build a report once, then let it refresh itself—into Excel, Power BI, a live dashboard or an inbox. See what you can do with it.
AI-to-AI collaboration
Let two AI clients discuss or delegate work through a short-lived conversation while each keeps its own scoped token.
How requests flow
Conceptual architecture — this is a system diagram, not a screenshot of the Any2MCP interface.
Primary AI & MCP client
Claude · ChatGPT · Codex · other
Uses its own scoped MCP token
Scoped MCP requests
Gateway
Any2MCP
Identity · permissions · audit · routing
Optional AI-to-AI invite
Optional side connection
Second AI client
One-time join · own token · own permissions
Direct HTTPS / API
Cloud & SaaS
Direct integrations
Business apps · infrastructure · APIs
Agent connects outbound via encrypted WSS
Behind your firewall
Any2MCP agent
Opens the connection to Any2MCP · no inbound ports
Internal systems
Servers · databases · network devices · local APIs
Connect your systems
Add cloud integrations, APIs or an outbound agent inside a private network.
Grant only what is needed
Scope each MCP token to the approved capabilities and connected systems.
Use the same governed access
Let an AI client run approved actions or use the data in reports and dashboards.
Let two AI clients work together—without merging their access
This is switched off until an administrator turns it on. Once they do, two AI clients belonging to the same person can pair on the same Any2MCP server, exchange short messages and prepared files, and carry on working with their own separate permissions.
Pair intentionally
One client starts a conversation and returns a 10-minute, one-time join code. A second client joins with a different authorized token.
Discuss or delegate
Use peer mode for collaboration or subagent mode when one AI coordinates a concrete deliverable from the other.
Keep boundaries intact
Messages and artifacts are encrypted and short-lived. Neither participant inherits the other token's integrations or permissions.
A platform capability, not another integration.
Any2MCP relays the conversation; it does not call a model provider on either client's behalf.
All current integrations
The complete set of 29 integration types in the current Any2MCP release, including the ones built into the platform itself.
Business, identity and automation
Jira, Confluence, Jira Service Management and Atlassian Admin.
CRM objects, queries, reports and approved business actions.
Microsoft Graph identity, directory and device operations.
Google services through a controlled service-account connection.
Read-only catalog, curated queries and saved reports.
SQL or Windows credentials, schema and health inspection, scoped reads and opt-in management.
Workflow automation discovery and controlled execution.
Patch management, vulnerabilities, endpoints and scripts.
Entities, services, automations, configuration and traces.
Infrastructure, network and security
Virtual machines, containers, nodes, storage and clusters.
vCenter inventory, virtual machines and infrastructure operations.
Container environments, containers, logs and stack redeployment.
Self-hosted network, peers, policies, routes and DNS.
Proxy hosts, certificates and reverse-proxy configuration.
Router, interface, address, route and firewall operations.
Sites, devices, clients, networks and Wi-Fi configuration.
Devices, sensors, monitoring status and acknowledgements.
PAN-OS firewall inventory, policy and operational access.
Security detections, models, devices and threat context.
On-premises directory, DNS and Group Policy administration.
Commands and file transfer through an outbound-connected agent.
Domains and DNS records through the Spaceship API.
Flexible connections
Repository discovery and governed clone, fetch, push and Git LFS without exposing the provider PAT.
Repository-scoped HTTPS Git relay for GitLab.com and self-managed GitLab.
OpenAPI-described HTTP endpoints with explicit permissions.
Queries and mutations against an approved GraphQL endpoint.
Bring another MCP server into the same governed gateway.
Built into the platform
Combine approved data from multiple integrations in one report.
Control platform-local capabilities and report ownership.
Ask once. Then have the answer every week, without asking again.
Most questions about a business are not asked once. How much is still open? Which customers slipped? What did we ship last month? Ask an AI client in a chat and you get a number that is out of date tomorrow. Ask it through Any2MCP and it can build the thing that keeps answering: a saved query that lives on the server, refreshes on a schedule, and feeds the spreadsheet, dashboard or inbox where people actually look. Every one of the 29 integrations can host one—not just the databases.
Describe it, don't build it
Tell an AI client what you want to see. It explores the system, writes the query, schedules it and builds the dashboard—then hands you the link. You review the result, not the SQL.
Straight into Excel and Power BI
Every scheduled report is published as a CSV over HTTPS with its own login. Point a workbook or a Power BI dataset at it once and refresh it forever—no exports, no copy-paste, no one re-running anything by hand.
Dashboards that are never stale
One self-contained page, up to twelve datasets, drawn live from the latest scheduled data. Share it with a viewer login, restrict it to your own networks, or let signed-in colleagues open it with the account they already have.
Join systems that were never meant to meet
One query per system, combined into a single result: CRM pipeline against ERP backlog per customer, tickets against the servers they were raised for, licences against the people who actually signed in. No warehouse, no nightly copy of your data into a third place.
Delivered, not just published
Send each run to a list of recipients with the data attached, or e-mail a dashboard as a single file. Administrators can route the same output to SharePoint, OneDrive, SFTP, a Windows share or a synced folder.
Share the answer, not the access
A colleague can be given exactly one saved report. They can run it and read its results—and nothing else. They never receive the query, the connection or any credential, and they need no permission on the system it reads.
Only read operations can be saved.
A scheduled report cannot change anything: the platform refuses to store a query that writes. Reports run under the connection's own service identity, so they keep working when the person who asked for them is on holiday.
Control stays between the AI and your systems
Outbound private access
Agents dial out over encrypted WebSockets. Internal services do not need a new inbound firewall opening.
Scoped identities
Use separate MCP tokens and per-system permissions instead of a single all-powerful credential.
Server-side policy
Capabilities and permission checks stay at the gateway, where they can be reviewed and updated centrally.
Start with one controlled connection.
Add the systems you need when you need them. Keep the entry point and access model consistent.