everruns-mcp

everruns-mcp is a skill for Claude Code, Codex from everruns/everruns. It costs 61 tokens per session (1,108 once invoked), scanned A, original, MIT.

A connection to Everruns, a platform for finding agents, running and continuing sessions, viewing results, and managing platform resources through its MCP server. MCP is a standard way for an AI assistant to use an external service's tools.

In plain words
What is it for?
It discovers available operations, reads organization and agent data, runs sessions, continues them, and performs authorized resource changes.
Why use it?
It lets an assistant work with an existing Everruns server without needing a local Everruns installation or shell.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It discovers available operations, reads organization and agent data, runs sessions, continues them, and performs authorized resource changes.

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Install with agentmods
npx agentmods add skills/everruns/everruns/everruns-mcp
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add everruns/everruns --skill everruns-mcp
Clone the repo
git clone --depth 1 https://github.com/everruns/everruns

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for everruns-mcp

README.md
[![agentmods](https://agentmods.dev/badge/skills/everruns/everruns/everruns-mcp/github.svg)](https://agentmods.dev/skills/everruns/everruns/everruns-mcp)
Your own site
<a href="https://agentmods.dev/skills/everruns/everruns/everruns-mcp"><img src="https://agentmods.dev/badge/skills/everruns/everruns/everruns-mcp/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for everruns-mcp

Your own site · 80×15
<a href="https://agentmods.dev/skills/everruns/everruns/everruns-mcp"><img src="https://agentmods.dev/badge/skills/everruns/everruns/everruns-mcp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,108 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00061 $0.01108
Opus 5.5 $0.00024 $0.00443
Sonnet 5.5 $0.00012 $0.00222
Haiku 4.5 $0.00006 $0.00111

Measured 3d ago against content hash 69df87aca8ab, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

everruns-mcp scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/everruns-mcp/SKILL.md · 99 lines

How it starts

The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Work through Everruns MCP

Use the connected server's tools and resources. A local Everruns installation or shell is unnecessary: query and execute run the everruns command tree inside the server's sandbox. Tool names may carry a client-assigned prefix.

Select the organization and operation

Call me for identity and default organization. Call list_organizations when the user names another organization or the target is ambiguous. Pass the selected organization_id on every org-scoped tool call; there is no persistent current organization switch.

For a known operation, call discover with its exact operation name, such as {"query":"list_agents"}. Its bash_usage and schemas describe the deployed version. Use search for an unfamiliar operation. Discovery describes commands, not whether a particular agent exists: actually list or get the entity.

Use query for reads and execute for authorized writes. Both accept a commands string; returned command output is JSON suitable for jq filtering. For example, after discovering its usage:

{"commands":"everruns agents list"}

The command sandbox has no filesystem redirection. Keep intermediate JSON in variables or pipes, and copy bash_usage rather than probing --help.

Keep output targeted. Read-only resource catalogs at everruns://agents, everruns://harnesses, everruns://models, and everruns://capabilities provide summaries; use the discovered get/list commands when you need details or more than the catalog's bounded listing. Do not guess IDs, fields, or flags.

Run and continue a session

Find the requested agent and use its returned ID with agent_run and the user's message. Retain the returned session_id: creating a session starts work and does not mean the agent has finished. Use session_send_message for follow-ups in that session rather than starting over. Add budget limits when the user specifies them.

Read session_get_status for output and events. Use its last_event_id as since_event_id on subsequent reads to avoid rereading events. Follow returned hints and inspect completion, failure, or required input; session status alone does not prove the requested outcome. Space repeated polls apart and stop polling when user action is required. If the server offers task handles or event subscriptions and the host supports them, use the advertised contract.

Read the full file on GitHub · 99 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 99 lines · 61 tokens per session scan A 69df87aca8ab

Subscribe to this mod's changes

everruns-mcp is a skill published in the GitHub repository everruns/everruns (60 stars, last pushed yesterday), licensed MIT. It adds 61 tokens to every session and 1,108 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-13.

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