
octomind-mcpAn MCP server for octomind tools, resources and prompts
Overview
Key features
- Search OctoMind documentation
- Retrieve test cases
- Execute tests
- List environments
- Create and update environments
- Get test reports
Pricing
- Model
- Free
- Category
- MCP Servers
- Rating
- No reviews yet
Use cases
Test Automation
Use OctoMind MCP to create and manage end-to-end tests, including auto-fix capabilities, in a local development environment.
Environment Management
Utilize OctoMind MCP to list, create, update, and delete environments for test targets.
Test Reporting
Retrieve test reports and specific test report details using the OctoMind MCP server.
Pros & Cons
Pros
- Enables local development environment integration with OctoMind tools
- Supports auto-fix capabilities for end-to-end tests
- Offers flexible session storage options, including Redis
Cons
- Requires API key and configuration setup
- May require additional setup for production deployments
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Q&A
Which tools are available through the MCP server for test workflows?
The MCP server implements tools such as `search` (documentation lookup), `getTestCase` (retrieve test cases), `executeTests` (run tests), `discovery`, as well as environment management (list, create, update) and test report retrieval.
Asked by Linda Petersen · Jan 12, 2026
What API credentials are required to run the MCP server?
You must provide an OctoMind API key via the `APIKEY` environment variable; the server also uses `OCTOMIND_API_URL` (defaults to https://app.octomind.dev/api) to reach the OctoMind API.
Asked by Lucas Petit · Jan 6, 2026
How do I configure the server to connect to a Redis instance?
Set the `REDIS_URL` environment variable (e.g., `redis://host:port`) or use the command‑line option `-r <url>`. You can also specify `SESSION_EXPIRATION_SECONDS` to control how long sessions live.
Asked by Umar Farooq · Dec 25, 2025
What storage options does OctoMind MCP support for sessions, and which is recommended for production?
OctoMind MCP offers in‑memory storage (default, lost on restart) and Redis storage. For production deployments, Redis is recommended because it persists sessions across restarts and enables horizontal scaling.
Asked by Ravi Kapoor · Dec 2, 2025
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