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everruns-dev
// Reference for working with the Everruns(Dev) managed harnesses platform (https://dev.everruns.com) - core concepts, UI links, entity naming, and API workflows for agents, harnesses, capabilities, sessions, models, and apps.
// Reference for working with the Everruns(Dev) managed harnesses platform (https://dev.everruns.com) - core concepts, UI links, entity naming, and API workflows for agents, harnesses, capabilities, sessions, models, and apps.
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.
Goal-oriented repository maintenance and release-readiness work. Use when the user asks for maintenance, release prep, repo health review, dependency refreshes, spec/docs alignment, test gap review, technical debt analysis, or general cleanup without prescribing an exact sequence.
Run manual UI test cases using agent-browser against a running stack. Use when the user asks to run UI tests, test the UI, run manual tests, or verify UI behavior.
Process open Linear issues — pick up, fix, and ship one PR per issue. Use when the user asks to process issues, work on Linear issues, tackle the backlog, or fix open issues.
Goal-oriented workflow for landing a requested change safely. Use when the user asks to ship, fix and ship, take a change through validation, or drive PR/CI/merge to completion.
Take UI screenshots using agent-browser. Use this skill to capture visual state of UI components for code review, visual regression testing, or documentation.
| name | everruns-dev |
| description | Reference for working with the Everruns(Dev) managed harnesses platform (https://dev.everruns.com) - core concepts, UI links, entity naming, and API workflows for agents, harnesses, capabilities, sessions, models, and apps. |
Everruns(Dev) is the dev deployment of the durable Everruns agentic harness engine. Docs: https://docs.everruns.com. This plugin talks to the Everruns(Dev) deployment over MCP and exposes both focused session tools and scriptable API access.
If a user asks something Everruns(Dev)-related, prefer the MCP tools over guessing.
When the exact shape of an operation is unclear, call discover first.
Harness --has--> Capability
^
|has
|
Agent --has--> Capability
^
|runs in
|
Session --has--> Capability (additive)
RuntimeAgent.
Status values: started, active, idle, waiting_for_tool_results,
paused. Sessions live indefinitely.mcp:{uuid}).Typical setup flow when a user wants a new agent:
agent_run - that creates a session (using the default
harness), sends the first user message, and triggers the turn loop. To pin a
specific harness, create the session directly via
create_session --harness_id ... and then call create_message.Capabilities are the answer to "how does my agent get tool X?" - attach the capability at the harness level for org-wide defaults, at the agent level for agent-specific tools, or at the session level for one-off additions.
All user-facing outputs should include links to the relevant Everruns(Dev) UI
objects when an object is created, updated, inspected, or returned as a primary
result. Use Markdown links. Default base URL: https://dev.everruns.com unless
the user provides another deployment URL.
Top-level UI paths:
https://dev.everruns.com/dashboardhttps://dev.everruns.com/sessionshttps://dev.everruns.com/sessions/{session_id}/chathttps://dev.everruns.com/sessions/{session_id}/{tab}https://dev.everruns.com/agents/{agent_id}https://dev.everruns.com/harnesses/{harness_id}https://dev.everruns.com/capabilities/{capability_id}https://dev.everruns.com/apps/{app_id}https://dev.everruns.com/mcp-servershttps://dev.everruns.com/modelshttps://dev.everruns.com/orgs/{org_id}Examples:
[Support Triage](https://dev.everruns.com/agents/agent_01933b5a00007000800000000000001)[Session](https://dev.everruns.com/sessions/session_01933b5a00007000800000000000003/chat)[Base Harness](https://dev.everruns.com/harnesses/harness_01933b5a00007000800000000000002)[Web Fetch](https://dev.everruns.com/capabilities/web_fetch)id is the stable API and UI-link identifier. Use it for follow-up calls,
joins, and links. Core IDs are prefixed, such as agent_..., harness_...,
session_..., app_..., and org_.... Capability IDs are capability refs,
such as web_fetch, session_storage, mcp:{uuid}, or skill:{id}.name is the addressable slug for agents and harnesses. It is lowercase,
URL-friendly, and good for search or operator-facing references, but id is
safer for exact operations.display_name is the human-readable UI label for agents and harnesses.
Render entities as display_name || name || id. Apps use name; sessions use
title || preview || id; capabilities use name || id.| Tool | When to use |
|---|---|
me | Current user + default org. Cheap sanity check. |
list_organizations | Multi-org accounts. MCP has no current-org switch; use this to find an org id, then pass organization_id on every org-scoped MCP tool call that should target that org. |
agent_run | Create a session and send the first message in one go. Returns session_id, message_id. |
session_send_message | Follow-up user message in an existing session. |
session_get_status | Poll session status + latest agent message + recent events. Supports since_event_id for incremental polling and event_types to filter. |
agent_get_card | Render an MCP-Apps card for an agent: a sandboxed text/html resource at ui://everruns/agent/{agent_id}/card plus a one-line summary. Use in MCP-UI-aware hosts (Claude Desktop, mcp-ui clients, the Everruns chat UI) to surface a stats card alongside text. Falls back gracefully — hosts that ignore embedded resources still get the summary line. Read-only; safe to call in query-style flows. Only available under MCP 2025-06-18; older clients should fall back to get_agent. |
discover | Search the API catalog. Returns operation name, category, description, parameters. |
query | Run a bash script where only read-only Everruns(Dev) API operations are builtins. jq is available. Prefer this for inspection, search, preview, export, grep, and status checks. |
execute | Run a bash script where every Everruns(Dev) API operation is a builtin. jq is available. Use this when the workflow needs side effects. |
Default to query for reads. Switch to execute only when the workflow needs
to create, update, delete, or trigger actions.
The MCP transport is stateless. There is no org-switching tool and no server-side
current org for MCP clients. If organization_id is omitted, Everruns(Dev) uses
the default org reported by me.
For non-default orgs:
list_organizations.org_{32-hex} id."organization_id": "org_..." on each org-scoped MCP tool call:
agent_run, session_send_message, session_get_status, agent_get_card,
discover, query, or execute.For query and execute, put organization_id on the MCP tool call, not inside
the bash script:
query {
"organization_id": "org_01933b5a00007000800000000000004",
"commands": "list_agents | jq -r '.data[] | [.id, .name] | @tsv'"
}
agent_run {
"organization_id": "org_01933b5a00007000800000000000004",
"agent_id": "support-triage",
"message": "Summarize the latest failed sessions."
}
discover, query, and executediscover surfaces what is available, query runs the read-only subset, and
execute runs the full catalog. Always use discover if you are unsure which
builtin to call.
discover returns JSON. Focused searches include each operation's
input_schema, output_schema, and output_shape. Use output_shape before
writing jq:
paginated means the root is {data,total,offset,limit}; iterate with
.data[].array means the root is a bare array; iterate with .[].unknown means inspect output_schema or run a small sample first.# Find anything agent-related
discover { "query": "agent" }
# List every operation grouped by category
discover { "all": true }
Inside query and execute, each available operation becomes a bash builtin.
Pass parameters as
--name value flags. Builtins emit JSON on stdout.
Rules of thumb:
jq to extract fields.query when a read-only path is enough.<cmd> --help prints usage if you are uncertain about flags.query, it is probably mutating; switch to execute.List agents by name.
query { "commands": "list_agents | jq '.data[] | {id, name, default_model_id}'" }
List harnesses.
list_harnesses returns a bare array, not a paginated object:
query { "commands": "list_harnesses | jq '.[] | {id, name, display_name, description, status, parent_harness_id}'" }
Create an agent and run it with the default harness.
execute { "commands": "AID=$(create_agent --name \"researcher\" --system_prompt \"You are a careful researcher.\" | jq -r .id)\nagent_run --agent_id \"$AID\" --message \"Summarize https://docs.everruns.com/\"" }
agent_run uses the deployment's default harness. To pin a specific harness to
the session, create the harness, then create the session directly:
execute { "commands": "HID=$(create_harness --name \"research\" --system_prompt \"Research assistant.\" | jq -r .id)\nAID=$(create_agent --name \"researcher\" --system_prompt \"You are a careful researcher.\" | jq -r .id)\nSID=$(create_session --harness_id \"$HID\" --agent_id \"$AID\" | jq -r .id)\ncreate_message --session_id \"$SID\" --message '{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Summarize https://docs.everruns.com/\"}]}'" }
Attach a capability to an agent.
query { "commands": "list_capabilities | jq '.data[] | {id, name}'" }
execute { "commands": "update_agent --id \"$AID\" --capabilities '[{\"ref\":\"web_fetch\"}]'" }
Poll a session until it idles.
query { "commands": "SID=session_abc...\nwhile true; do\n STATUS=$(get_session --session_id \"$SID\" | jq -r .status)\n echo \"status=$STATUS\"\n [ \"$STATUS\" = \"idle\" ] && break\n sleep 2\ndone\nlist_messages --session_id \"$SID\" | jq '.data[-1]'" }
Iterate over agents.
query { "commands": "list_agents | jq -r '.data[].id' | while read id; do\n get_agent --id \"$id\" | jq '{id, name, display_name, default_model_id}'\ndone" }
Add an MCP server (becomes a virtual capability).
execute { "commands": "create_mcp_server --name \"jira\" --url \"https://mcp.example.com/jira\" --auth_mode oauth" }
Work with app invocation channels.
Use app-channel commands for app schedules. Do not use durable schedule commands for app schedules; those infrastructure builtins are intentionally not exposed through MCP scripting.
query { "commands": "list_app_channels app_01933b5a00007000800000000000001 | jq '.[] | {id, channel_type, enabled, channel_config}'" }
Schedule channels accept either 5-field cron (*/10 * * * *) or 7-field cron
(0 */10 * * * * *). The server stores 7-field cron.
execute { "commands": "CID=$(add_schedule_app_channel --app_id \"$APP_ID\" --cron_expression '*/10 * * * *' --timezone UTC --session_mode shared_session --message 'Run the scheduled check' | jq -r .id)\npublish_app \"$APP_ID\"\ntrigger_app_schedule_channel --app_id \"$APP_ID\" --channel_id \"$CID\"" }
Channel secret fields are write-only. Reads return non-secret fields and
*_configured booleans instead of plaintext tokens or signing secrets.
Look up an org by id.
get_org accepts the org_... entity id as a positional arg.
query { "commands": "get_org org_01933b5a00007000800000000000004 | jq '{id, name, default_model_id, default_harness_id}'" }
Find which org owns an entity.
resolve_org takes any prefixed entity id (agent_..., session_...,
harness_..., app_..., skill_..., mcp:..., identity_..., eval_...)
and returns {org_id, org_name} of the owning org — but only if the caller
is a member of that org. Use it to recover from a direct link into a
resource owned by a different org you also belong to.
query { "commands": "resolve_org session_019db85695a8785e87e8203109109343 | jq" }
Preview an agent or harness before saving.
preview_agent and preview_harness resolve capabilities, scoped MCP servers, and
parent harness inheritance into the final system prompt and tool list without
persisting anything. Read-only, available in query.
query { "commands": "preview_agent --system_prompt \"You are a careful researcher.\" --capabilities '[{\"ref\":\"web_fetch\"}]' | jq '{system_prompt, tools: [.tools[].name]}'" }
query { "commands": "preview_harness --parent_harness_id \"$HID\" --system_prompt \"Research harness.\" | jq '{system_prompt, tools: [.tools[].name]}'" }
list_agents | jq '.data[] | {id, name, default_model_id}'
query and execute time out after 30 s by default, max 60 s. For long
workflows, split them into multiple calls.list_* operations default to --limit 20 (max 100) with --offset for
paging.query and execute is selected by the top-level
organization_id MCP argument. Do not pass --organization_id to builtins
inside the script.Everruns(Dev) exposes a small family of entity cards — sandboxed HTML
resources hosts can render alongside text output. See
specs/mcp-cards.md
for the standard.
agent_get_card { "agent_id": "<agent-id-or-name>" }.
Add "organization_id": "org_..." when targeting a non-default org.resource content item at
ui://everruns/agent/{agent_id}/card (MIME text/html) plus a one-line
text summary.tools/call with host confirmation.When a user asks for an "agent card", "agent overview", or wants stats
visible alongside a reply, prefer agent_get_card over get_agent if the
host is MCP-UI-aware. Otherwise call get_agent and render the JSON.
Card tools require MCP protocol 2025-06-18. Older clients won't see them
in tools/list and should use get_agent.
tool not found in query - query only exposes read-only builtins. If
the command mutates state, switch to execute.tool not found in execute - run discover { "all": true } to confirm
the builtin exists under the expected name.<cmd> --help inside query or execute prints usage;
discover { "query": "<cmd>" } shows parameter types.me reports the default org. Call list_organizations, then
pass top-level organization_id explicitly on each org-scoped MCP call.