arga-context

Endpoint

Hosted endpoint · transport http

Connect

This is a remote MCP server — point an MCP client at the endpoint URL. Clients with native remote support (Claude, Cursor, VS Code, …):

For stdio-only clients (older Claude Desktop, etc.), bridge with mcp-remote:

If the server requires authentication, add the provider's token/header (e.g. an X-API-Key) per its docs. A quick reachability check:

Tools

• create_sandbox_run — Create a sandbox run that deploys app code plus selected twins.
• get_sandbox_run — Fetch sandbox status, app URL, twin URLs, and environment variables.
• create_twin_run — Create a standalone twin run on the current /twin-runs API.
• get_twin_run — Fetch twin-run status, URLs, environment variables, and seed details.
• create_test_run — Create an ad hoc browser test run on the current /test-runs API.
• run_test — Run a saved browser test by ID.
• get_test_run — Fetch test-run status, events, artifacts, and summary fields.
• list_tests — List saved browser tests.
• get_twin_catalog — List all available digital twin types that can be provisioned.
• list_connected_sources — List all tool sources you have connected (GitHub, Slack, Jira, etc.).
• investigate_bug — Investigate a bug by searching all connected sources and tracing the root cause.
• search_context — Search for context across all connected tools using natural language.
• get_source_detail — Fetch a specific record from a connected source by its identifier.
• search_github — Search GitHub pull requests, issues, and code.
• search_linear — Search Linear issues.
• search_slack — Search Slack messages and threads.
• search_sentry — Search Sentry issues.
• search_grafana — Search Grafana dashboards or alerts.
• search_posthog — Search PostHog exceptions or run a HogQL query.

About MCP

The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.

Browse every MCP server on the APIs.io network or compare with the broader Agent Skill surfaces of the same providers.

Work with this as data

Every MCP server here is available over the APIs.io API and to AI agents over MCP.

curl "https://apis.io/api/v1/mcp/arga-context"

curl "https://apis.io/api/v1/mcp?limit=25"