About OutcomeCI
OutcomeCI MCP Server connects AI assistants to agent-powered workflows in an OutcomeCI workspace. It is a remote connection to OutcomeCI's hosted service for creating, validating, and managing workflows and their runs.
Key features
- 01List and read workflows
- 02Validate and create workflows
- 03Save immutable workflow versions
- 04Configure email or webhook triggers
- 05Review run logs and request cancellation
Use cases
- 01Browse workflows in a workspace
- 02Validate a workflow before saving
- 03Inspect logs from a recent failed run
- 04Manage workflow triggers
MCP support
This is the public connection point for OutcomeCI's hosted MCP server, using remote Streamable HTTP and browser-based OAuth to authorize a workspace. The repository contains connection metadata and configuration examples, not the hosted backend or a self-hosted distribution.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://api.outcomeci.com/v1/mcpclaude mcp add --transport http outcomeci https://api.outcomeci.com/v1/mcp{"mcpServers":{"outcomeci":{"type":"http","url":"https://api.outcomeci.com/v1/mcp"}}}Open in Cursor{"servers":{"outcomeci":{"type":"http","url":"https://api.outcomeci.com/v1/mcp"}}}Open in VS Code{"mcpServers":{"outcomeci":{"type":"http","url":"https://api.outcomeci.com/v1/mcp"}}}{"mcpServers":{"outcomeci":{"serverUrl":"https://api.outcomeci.com/v1/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project READMEOutcomeCI MCP Server
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.
Connect
Add OutcomeCI as a remote MCP server in your client:
https://api.outcomeci.com/v1/mcp
- Transport: 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.
Setup guides
For clients that accept this configuration format, see the example configuration. Other clients may use different field names; follow their remote-server setup instructions.
Try it
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.
Tools
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 |
|---|---|
list_workspaces | Show the workspace authorized for the connection. |
list_workflows | List workflows and their latest metadata. |
get_workflow | Read a workflow's latest definition and support files. |
get_workflow_schema | Get the current outcome.yml contract and an example. |
get_connector_schema | Inspect a connector's operations and credential requirements. |
get_integration_setup_guide | Get setup guidance for an integration. |
validate_workflow | Validate a complete workflow package without saving it. |
create_workflow | Create a workflow and its first version. |
upload_workflow_version | Save a new immutable version with checks against concurrent changes. |
configure_workflow_trigger | Configure supported email or webhook triggers. |
create_credential_deposit | Create a secure UI link for depositing a credential. |
get_credential_deposit_status | Check a deposit's status without retrieving its secret. |
list_vault_entries | Inspect credential metadata and grants, not secret values. |
list_agent_connections | List connected agents' metadata. |
list_workflow_runs | List recent runs for a workflow. |
get_workflow_run_logs | Read paginated run logs. |
cancel_workflow_run | Request cancellation of an active run. |
Permissions and credentials
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.
Pricing
OutcomeCI Cloud usage is billed according to OutcomeCI pricing. Connecting an assistant does not make workflow execution free.
Documentation and feedback
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.
Repository metadata
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.
License
This repository's documentation, metadata, and configuration examples are licensed under the MIT License. The hosted backend is not distributed in this repository.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.