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register_run_artifact

[SUPPORT] 3f6b8715 — register a project-RELATIVE artifact against a run. Rejects an absolute path (any shape capability_manifest recognizes, a bare leading '/', a drive letter, a UNC path, or a '..' traversal segment) or a secret-shaped value with {error}. Persistent-state disclosure: on hosted M...

SERVERMeridian SOURCE@meridianmcp/mcp
Medium RISK CLASS
Category Write
Parameters 72 required
Recommended Rate-limitedsee the rule below
Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/io-github-ajc3xc-meridian/register-run-artifact.md

What register_run_artifact does on Meridian

AI agents use register_run_artifact to create or update resources in Meridian, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Meridian environment.

ParameterTypeRequiredDescription
run_id string Yes
project_id string —
session_id string —
content_hash string —
logical_path string Yes Project-relative path — never a machine-local absolute path.
project_name string — Project name — an alternative to project_id; resolved to the id internally. project_id wins if both are given.
artifact_role string —

Parameters from the server's own tool schema.

Why register_run_artifact is rated Medium

An AI agent can call register_run_artifact faster than any human can review: one bad instruction and it creates or modifies resources in Meridian by the hundred, each call as confident as the last.

Questions about register_run_artifact

What does the register_run_artifact tool do? +

[SUPPORT] 3f6b8715 — register a project-RELATIVE artifact against a run. Rejects an absolute path (any shape capability_manifest recognizes, a bare leading '/', a drive letter, a UNC path, or a '..' traversal segment) or a secret-shaped value with {error}. Persistent-state disclosure: on hosted Meridian, supplied text and project/session metadata -- including task log entries, pinned decisions, sprint items, notes, handoff/goal state, and HITL queue items -- are sent to and stored in Meridian's service, in an isolated per-tenant Postgres database (Neon); self-hosted deployments keep the same categories in the configured local SQLite/Postgres database. This data is visible in the dashboard and API, and may resurface in later project context or handoffs. Notes and pinned decisions can be deleted individually; task log entries and sprint items can be deleted via the dashboard/API (not exposed as an agent-facing tool); HITL queue items and handoff state have no per-record delete. Full removal of any of this data is available via project or account deletion, using the documented controls. Do not include secrets. It is categorised as a Write tool in the Meridian MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does register_run_artifact accept? +

register_run_artifact accepts 7 parameters: run_id, project_id, session_id, content_hash, logical_path, project_name, artifact_role. Required: run_id, logical_path. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on register_run_artifact? +

Register the Meridian MCP server in PolicyLayer and add a rule for register_run_artifact: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Meridian. Nothing to install.

What risk level is register_run_artifact? +

register_run_artifact is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit register_run_artifact? +

Yes. Add a rate_limit block to the register_run_artifact rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block register_run_artifact completely? +

Set action: deny in the PolicyLayer policy for register_run_artifact. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides register_run_artifact? +

register_run_artifact is provided by the Meridian MCP server (@meridianmcp/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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