Configure secure connections to 100+ live enterprise systems and control exactly which users and agents can access each one. No data copies, pipelines, or credentials in model context.
One tool, six verbs, 100+ systems behind them. Instead of one server, tool definition, credential, and security review per system, every connection answers the same shape: schema you can describe, records you can query, files you can browse.
Provisioned once · resolved for whoever calls
Salesforcesales_read
Snowflakeanalytics_ro
Postgresapp_read
Jiraissues_readProvision Salesforce, Snowflake, Postgres, HubSpot, files, and internal databases once. Schema is seeded at provision time, not rediscovered on every query, and credentials stay in MarcoPolo.
Secure connections# Every system answers the same six verbs.$ connection describe salesforce --table Opportunity→ 42 fields · schema seeded at provision$ connection query snowflake --filter "stage = 'Closed Lost'"✓ joined salesforce × snowflake 14 rows# One abstraction · not one integration per system.▍
Describe the schema, query the records, join across systems. Salesforce × Snowflake × Jira in one analysis, with large outputs kept as result handles.
Governed workspaceSame trail whether the caller was MCP, CLI, or SDK
A connection is owned by one user, shared with named teammates, or shared company-wide. Every access is logged, and revoking takes effect immediately across every surface.
Trust and governanceAccess is provisioned for users, agents, and agents working on behalf of users. Pick the surface per use — no re-integration as standards change.
Authenticate the system, capture the intent of the task, and set the scope: user-owned, shared with a team, or company-wide.
List, describe, query, browse, upload, download. The same six verbs everywhere, so workflows become data analysis across systems.
MCP-compatible assistants, agents working in code through the CLI, and the apps you ship through the SDK all read the same connection.
Credentials never enter the AI environment. Local development and production work the same way, and one trail covers every path.
Cloud warehouses, databases, SaaS tools, and storage. All accessible through one governed interface.
Don't see your system? We're adding connectors weekly. Request one.
RevOps provisions Salesforce and shares it with twelve teammates. An analyst reaches it from Claude, an agent reaches it from the CLI, and the product reaches it from the SDK.
A workflow describes the schema in Salesforce and Snowflake, then joins them on the fly. No warehouse job, no copy of the data, no new integration to review.
Postgres and SQL Server reachable only from inside the customer's network are provisioned over private link. The same verbs apply; the data plane never leaves their cloud.
Native MCPs expose each system's own API shape · one server, tool definition, credential, and security review per system. LiveConnect treats every system like a database instead: schema you can describe, records you can query, files you can browse · the same verbs everywhere. Provisioned once, reviewed once · not fifty times.
At provision time. A connection can be owned by one user, shared with named teammates, or shared company-wide · and an agent acts under the scope of the identity it works for. The intent of the task is captured when the connection is provisioned, so access maps to purpose · not to whatever a token happens to permit.
All of them. MCP-compatible assistants · Claude, ChatGPT, Cursor, Copilot · through One MCP; agents that work in code through the connection CLI; the apps and agents you ship through the Agent SDK and API. Same connection, same scope, same audit trail on every path.
Credentials live inside the workspace, encrypted at the boundary, scoped per identity. The LLM never sees a token or API key · LiveConnect handles auth at the workspace layer and returns only the data the caller's scope permits. SSO + SCIM cascades govern who can provision connections and who can use them.
Yes. OAuth flows are handled per user inside the workspace. Refresh tokens stay encrypted; access tokens never enter the model context. Revocation propagates instantly across every AI surface the user has access to.
In your workspace, encrypted with your KMS keys (Enterprise tier) or our managed KMS (Team tier). For VPC deployments, credentials never leave your cloud · we operate the software, you own the data plane.
Yes. LiveConnect is extensible · you can author connectors against any system with an API or database driver. For Enterprise customers we also build new connectors on request as part of the engagement.
Yes. LiveConnect supports private databases reachable from inside your VPC · Postgres, MySQL, Mongo, SQL Server, and others · over SSH, private link, or direct in-VPC connection. For air-gap deployments, the entire workspace runs on your hardware.
Same data gateway, same governance model. What changes is who is driving and where the work is written.
Governed connections, managed execution, and audit inside the agent you ship.
Read the Agent SDK pageAgent ConsoleProvision access, review what agents did, and hold the controls in one place.
Read the Agent Console pageOne MCPOne governed tool surface that Claude, ChatGPT, Cursor, and Copilot can use.
Read the One MCP pageAdaptive ContextA knowledge map per connection: schema, business rules, and joins that already worked.
Read the Adaptive Context page
Start free. Provision your first three systems in minutes · and use them from every surface you ship or deploy.
