Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@OutcomeCI MCP Server Read the workflow schema and help me create a Slack-to-GitHub PR workflow, then validate it"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Connect your AI assistant to OutcomeCI to create, validate, and manage agent-powered workflows across the tools your team uses.
This is the public connection and documentation repository for OutcomeCI's hosted Model Context Protocol (MCP) server. It contains server metadata and client configuration—not the hosted backend or a self-hosted server distribution.
Add OutcomeCI as a remote MCP server in your client:
https://api.outcomeci.com/v1/mcpTransport: Streamable HTTP
Authentication: OAuth through your browser
Access: Sign in to OutcomeCI and authorize a workspace
No local server installation or shared API key is required. Each person authorizes their own connection. Your client must support remote Streamable HTTP servers and OAuth.
For clients that accept this configuration format, see the example configuration. Other clients may use different field names; follow their remote-server setup instructions.
Related MCP server: Bellink MCP Server
Ask your connected assistant:
List the workflows in my OutcomeCI workspace.
Read the workflow schema and help me create a workflow that turns a Slack request into a GitHub pull request. Validate it before saving.
Show the recent runs for my workflow and inspect the logs for the latest failure.
Available tools depend on the permissions granted to the connection. Configuring a workflow may also require connectors, credentials, and an agent connection.
The server exposes the following tools. Your client's live tools/list response is authoritative for the current schemas and authorized tool set.
Tool | What it does |
| Show the workspace authorized for the connection. |
| List workflows and their latest metadata. |
| Read a workflow's latest definition and support files. |
| Get the current |
| Inspect a connector's operations and credential requirements. |
| Get setup guidance for an integration. |
| Validate a complete workflow package without saving it. |
| Create a workflow and its first version. |
| Save a new immutable version with checks against concurrent changes. |
| Configure supported email or webhook triggers. |
| Create a secure UI link for depositing a credential. |
| Check a deposit's status without retrieving its secret. |
| Inspect credential metadata and grants, not secret values. |
| List connected agents' metadata. |
| List recent runs for a workflow. |
| Read paginated run logs. |
| Request cancellation of an active run. |
Authorize only the workspace and permissions you intend to give your assistant. Use your client's approval controls for changes such as saving workflows, configuring triggers, or cancelling runs.
Never paste credentials into chat. Use the secure deposit link when a workflow needs a secret. Treat deposit links, inbound webhook URLs, and run logs as potentially sensitive; do not include them in public issues.
OutcomeCI Cloud usage is billed according to OutcomeCI pricing. Connecting an assistant does not make workflow execution free.
For documentation problems or feature requests, open an issue. Include the client name and a sanitized description; never include tokens, secrets, or private workflow data.
server.json describes the hosted endpoint using the MCP Registry server schema. Its version tracks this repository's metadata, not a pinned version of the hosted service. Including the manifest does not imply that a directory or registry has approved the listing.
This repository's documentation, metadata, and configuration examples are licensed under the MIT License. The hosted backend is not distributed in this repository.
This server cannot be deployed
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