Expo

Your Expo and EAS project in natural language: up to date SDK docs, cloud builds (status, logs, trig

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Не нужен: сервер работает без входа

Your Expo and EAS project in natural language: up to date SDK docs, cloud builds (status, logs, trig

Список инструментов сервера (25)

Технические названия из tools/list. Нужны только разработчикам.

expo_add_library	Add an Expo library to the project using expo install and attach usage instructions when available
expo_read_documentation	Fetch a single Expo documentation page and return its content as markdown. Returns up to ~5000 tokens per call. Use offset to paginate through long pages.
expo_search_documentation	Search the official Expo documentation and return page URLs ranked by relevance for a user query. Use read_documentation to fetch the full content of specific pages, starting from the top.
expo_learn	Learn Expo how-to for a specific topic and remember it for future conversations. Use this to teach the assistant about specific Expo features or workflows.
expo_workflow_create	Creates a new EAS workflow YAML file for Expo projects or fetches workflow syntax documentation. Use this when users want to create CI/CD workflows in .eas/workflows/ or need to learn EAS workflow syntax. After creating, use workflow_validate to validate the file.
expo_workflow_info	Fetches detailed information about a specific EAS workflow run by ID. Use this to check the status, job results, errors, and artifacts of a workflow run. If workflow has multiple jobs, draw them in a diagram to show the dependencies between jobs.
expo_workflow_list	Lists recent EAS workflow runs for a project. Provide either appId (from app.json "extra.eas.projectId") OR appFullName (e.g., "@owner/my-app").
expo_workflow_logs	Fetches logs for a specific job in an EAS workflow run. Call without sectionIndex or phase to get a summary of log sections (phase names and line ranges); then call again with sectionIndex or phase to fetch that section.
expo_workflow_run	Triggers an EAS workflow run from a git reference. Provide either appId (from app.json "extra.eas.projectId") OR appFullName (e.g., "@owner/my-app"). The workflow file must exist at the specified git reference.
expo_workflow_cancel	Cancels a running EAS workflow. Use workflow_info to get the workflow run ID.
expo_workflow_validate	Validates EAS workflow YAML syntax and configuration. Use this after creating a workflow to ensure it is valid. Provide either appId (from app.json "extra.eas.projectId") OR appFullName (e.g., "@owner/my-app").
expo_build_list	Lists EAS builds for a project. Provide either appId (from app.json "extra.eas.projectId") OR appFullName (e.g., "@owner/my-app"). Use this to see recent builds, their status, and available artifacts.
expo_build_info	Fetches the status and detailed information about a specific EAS build by ID. Use this to check build status, errors, artifacts, and other details.
expo_build_logs	Fetches the logs for a specific EAS build. The build must be completed (finished or errored) to have logs available.
expo_build_submit	Submits an EAS build to the app store (Google Play Store for Android, App Store for iOS). The build must be a finished build with the appropriate distribution type. Provide either appId (from app.json "extra.eas.projectId") OR appFullName (e.g., "@owner/my-app").
expo_build_run	Triggers a new EAS build using a build profile from eas.json. Requires a GitHub repository to be connected to the project. Provide either appId (from app.json "extra.eas.projectId") OR appFullName (e.g., "@owner/my-app").
expo_build_cancel	Cancels an EAS build that is queued or in progress. Use build_info to check the current status first.
expo_testflight_crashes	Fetch TestFlight crash data. Without crashId, lists recent crashes. With crashId, returns the full crash log with stack trace.
expo_testflight_feedback	Fetch screenshot feedback from TestFlight. Returns feedback metadata including device info, user comments, and screenshot URLs.
show_version	Show the current MCP platform and adapter versions.
report_bug	Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction.
connect	Returns connection status and URLs. When all providers are connected, returns authenticated:true and empty pending[]. When credentials are missing, returns connect_url for the toolkit and per-install URLs.
toolkit_info	Returns the current toolkit state: installed MCPs, their connection status, the accounts connected to each one, and how many catalog tools each exposes.
marketplace	The official mcp.ai marketplace — the in-platform catalog of every MCP/tool, AND the way to run them. Covers capability requests like "find an MCP that does X", "consulta um CPF", "is there a tool for Y". Core flow: action=search discovers MCPs by intent → describe returns one MCP's full profile (every tool with its id + params, pricing, auth) so you pick the right tool_id → invoke RUNS that tool. KEY: invoke works even when the MCP is NOT installed — it runs the tool pontualmente (one-off), without adding the MCP to the toolkit and without bloating the tool list. If the MCP needs a credential/login, invoke returns a connect link; if it is paid and the wallet is empty, invoke returns a checkout/top-up link (the user opens it, then you retry). Use install only to make an MCP PERMANENT in the active toolkit (its tools then show up natively in future sessions); prefer invoke for a single/occasional use. list_tools lists what is callable right now. subscribe/cancel handle per-MCP billing; report_bug sends feedback; request_mcp asks us to build a NEW MCP when nothing fits. Search/describe flag installed_in_toolkit vs installed_in_workspace. Writes (install/uninstall/subscribe/cancel and the one-off install behind invoke) require workspace owner/admin. It also carries the mcp.ai PROMPT LIBRARY, which is about ready-made prompt TEXT rather than MCPs: search_prompts finds one, get_prompt returns its full text with {{variables}} filled, and publish_prompt saves a prompt and returns a shareable mcp.ai/p/<slug> link that opens without login.
authenticate	MCP.AI for IDE agents (Cursor, etc.): log in in the browser, copy the access token. Best: add it to this server's config as a header `Authorization: Bearer <token>` for a permanent, non-expiring connection. Or paste it here for a session-only login: call with { token: "<jwt>" } after the user pastes, or with no args to get the link.