Currents Test Results▌
by currents-dev
Connect to Currents Test Results for AI-driven analysis of test failures, suite optimization, and enhanced CI/CD trouble
Provides a bridge to Currents test results platform, enabling AI to analyze failing tests, optimize test suites, and troubleshoot CI/CD pipeline issues through direct access to test execution data.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / QA engineers debugging test failures
- / DevOps teams optimizing CI/CD pipelines
- / Development teams analyzing test suite performance
capabilities
- / Retrieve test run results and failure details
- / Analyze failing tests across projects
- / Get project metrics and insights over time
- / Query test execution data from CI/CD pipelines
- / Find specific test runs by parameters
what it does
Connects AI to Currents test results platform to analyze test failures and optimize test suites. Provides direct access to test execution data from CI/CD pipelines.
about
Currents Test Results is an official MCP server published by currents-dev that provides AI assistants with tools and capabilities via the Model Context Protocol. Connect to Currents Test Results for AI-driven analysis of test failures, suite optimization, and enhanced CI/CD trouble It is categorized under developer tools.
how to install
You can install Currents Test Results in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
Apache-2.0
Currents Test Results is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Currents MCP Server
This is a MCP server that allows you to provide test results context to your AI agents by connecting them to Currents. Useful for asking AI to fix or optimize tests failing in CI.
Tools
| Tool | Description |
|---|---|
currents-get-projects | Retrieves projects available in the Currents platform. |
currents-get-project | Get a single project by ID. |
currents-get-project-insights | Get aggregated run and test metrics for a project within a date range. |
currents-get-runs | Retrieves a list of runs for a specific project with optional filtering. |
currents-get-run-details | Retrieves details of a specific test run. |
currents-find-run | Find a run by query parameters. |
currents-cancel-run | Cancel a run in progress. |
currents-reset-run | Reset failed spec files in a run to allow re-execution. |
currents-delete-run | Delete a run and all associated data. |
currents-cancel-run-github-ci | Cancel a run by GitHub Actions workflow run ID and attempt number. |
currents-get-spec-instance | Retrieves debugging data from a specific execution of a test spec file by instanceId. |
currents-get-spec-files-performance | Retrieves spec files performance metrics for a specific project within a date range. |
currents-get-tests-performance | Retrieves aggregated test metrics for a specific project within a date range. |
currents-get-tests-signatures | Generates a unique test signature based on project, spec file path, and test title. |
currents-get-test-results | Retrieves historical test execution results for a specific test signature. |
currents-get-errors-explorer | Get aggregated error metrics for a project within a date range with comprehensive filtering and grouping. |
currents-list-actions | List all actions for a project with optional filtering. |
currents-create-action | Create a new action for a project. |
currents-get-action | Get a single action by ID. |
currents-update-action | Update an existing action. |
currents-delete-action | Delete (archive) an action. |
currents-enable-action | Enable a disabled action. |
currents-disable-action | Disable an active action. |
currents-list-webhooks | List all webhooks for a project. |
currents-create-webhook | Create a new webhook for a project. |
currents-get-webhook | Get a single webhook by ID. |
currents-update-webhook | Update an existing webhook. |
currents-delete-webhook | Delete a webhook. |
Setup
API Key
Get a Currents API key by following the instructions here.
Usage with Cursor
- Go to Cursor Settings > MCP > Enable
- Add the following to your
mcp.json.
{
"mcpServers": {
"currents": {
"command": "npx",
"args": ["-y", "@currents/mcp"],
"env": {
"CURRENTS_API_KEY": "your-api-key"
}
}
}
}
Claude
Run this command to add Currents MCP to Claude Code
claude mcp add --transport stdio currents --env CURRENTS_API_KEY=<KEY> -- npx -y @currents/mcp
Add the following to enable Currents MCP on Claude Desktop (edit claude_desktop_config.json file):
{
"mcpServers": {
"currents": {
"command": "npx",
"args": ["-y", "@currents/mcp"],
"env": {
"CURRENTS_API_KEY": "your-api-key"
}
}
}
}
⚠️ Notice
By connecting AI tools (e.g., via MCP) to Currents, you are granting them access to your API key, test results and CI metadata. It is your responsibility to vet any AI agents or services you use, and to ensure they handle your data securely.
References
FAQ
- What is the Currents Test Results MCP server?
- Currents Test Results is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Currents Test Results?
- This profile displays 38 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ Use When
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid When
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.7★★★★★38 reviews- ★★★★★Pratham Ware· Dec 24, 2024
Currents Test Results is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Xiao Thomas· Dec 12, 2024
Currents Test Results is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Sakshi Patil· Nov 15, 2024
We evaluated Currents Test Results against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Advait Chen· Nov 3, 2024
Useful MCP listing: Currents Test Results is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Xiao Haddad· Oct 22, 2024
We evaluated Currents Test Results against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Chaitanya Patil· Oct 6, 2024
Useful MCP listing: Currents Test Results is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Soo Bansal· Sep 25, 2024
We evaluated Currents Test Results against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Oshnikdeep· Sep 17, 2024
According to our notes, Currents Test Results benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Arya White· Sep 13, 2024
Currents Test Results has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Hassan Abbas· Aug 16, 2024
Useful MCP listing: Currents Test Results is the kind of server we cite when onboarding engineers to host + tool permissions.
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