Platform MCP tools
Complete reference for the 58 tools exposed by Yodu's workspace-scoped Platform MCP server.
The Platform MCP server exposes exactly 58 curated tools. Every tool derives the workspace from the verified API key; no tool accepts an organization ID.
Read workspace state
Requires workspace:read and current workspace membership.
| Tool | Purpose |
|---|---|
get_workspace | Return the workspace identity bound to the connection |
get_workspace_overview | Summarize employees, work, and needs-attention activity for up to 90 days |
get_workspace_settings | Read model routing and runtime resource limits (owner or admin) |
list_agents | List workspace employees, status, runtime identity, and channel |
list_agent_configs | List one employee's bounded, versioned operating-document bodies (owner or admin) |
list_models | List model references runnable in the workspace (owner or admin) |
get_agent_skills | Read one employee's defaults, overrides, and effective skill loadout (owner or admin) |
list_connected_tools | List safe connected-app metadata, grants, and cloud-coding state for one employee (owner/admin) |
list_agent_files | List bounded, versioned custom-file metadata; content is never returned (owner or admin) |
list_secrets | List secret names, scope, and whether each reaches the agents' sandbox; never their values |
list_role_templates | List role templates available when creating an employee |
list_memory | List shared memory, or one employee's local memory with owner/admin access |
read_memory | Read shared memory or, with owner/admin access, an employee-local document by ID |
list_tasks | List work with optional employee, status, priority, label, and search filters |
read_task | Read one task with comments, approval summaries, evidence-file metadata, and activity |
get_runtime_health | Read an allowlisted runtime health summary and successful file-sync time |
get_runtime_state | Read safe current connection, container, queue, backup, and sync state without host internals |
get_runtime_command_status | Read one org-scoped command's status and retry timing without payloads, errors, or worker details |
list_custom_mcp_servers | List the workspace's custom MCP servers with header names only, never values (owner or admin) |
list_scheduled_jobs | List scheduled jobs and run status; raw provider error text is never returned |
Create work and context
Requires workspace:write and current workspace membership.
| Tool | Purpose |
|---|---|
create_memory | Create shared or owner/admin employee-local memory in Markdown |
update_memory | Update shared or owner/admin employee-local memory |
create_task | Add a task to the board and dispatch the assignment workflow |
update_task | Update task content, priority, due date, link, assignee, or status and wake the employee when needed |
move_task | Move or reorder a board task; status transitions wake the assignee |
comment_task | Add an authenticated user comment or reply and wake the task's employee |
Configure employees
Requires workspace:write and an owner or admin role.
| Tool | Purpose |
|---|---|
create_agent | Create a recruitment draft from a role template |
provision_agent | Provision a drafted employee into the managed runtime |
repair_workspace_runtime | Force-rebuild the workspace runtime from Yodu's saved config (safety backup first); disruptive while the stack restarts |
activate_memory | Publish a sourced memory draft as live runtime context |
set_memory_status | Move memory to draft, superseded, or archived without deleting history |
set_workspace_model_routing | Set primary and cross-provider fallback models |
set_workspace_runtime_resources | Set gateway memory/CPU limits |
set_workspace_cost_guardrail | Set or clear the work-admission cost ceiling (USD). Agents stop creating new tasks past it; work in flight is never suppressed |
set_agent_autonomy | Set an employee's overall permission mode (how strictly the approval gate applies). The fully ungated mode is intentionally not settable via API. Per-tool switches live in set_agent_tool_access |
write_agent_config | Write any of the seven versioned employee operating-document kinds |
set_agent_model | Select an available workspace model for an employee |
set_agent_role | Reassign an employee to a different workspace role (by roleId) |
set_agent_skills | Add or remove skill overrides relative to the employee's role baseline |
set_agent_cloud_coding | Enable or disable Claude Code or Codex for one employee; disabling cancels that provider's live sessions |
set_agent_tool_access | Enable or disable one connected app or custom MCP server for one employee |
create_scheduled_job | Create a recurring job that delivers a prompt to an employee on a cron schedule (evaluated in the job's timezone) |
update_scheduled_job | Update a scheduled job's schedule, timezone, prompt, assignment, or status (the next run is recomputed on change) |
delete_scheduled_job | Delete a scheduled job by ID |
run_scheduled_job | Run a scheduled job immediately without changing its cadence |
activate_scheduled_job | Activate a paused or draft schedule so its cron fires again; refused when the assigned employee fails the latest runtime parity check |
write_agent_file | Provision a safe custom file beneath an employee's skills/ or scripts/ path |
list_management_grants | Read who currently holds which management authority (WORK_TRANSITION, OBJECTIVE_MANAGE, ...), with the employee or member each grant belongs to |
update_management_grant | Issue or withdraw one management authority; grant WORK_TRANSITION so a teammate can accept a peer's submitted work and drain a paused review queue |
Schedule timezones
The scheduler evaluates every cron expression against the job's timezone, an IANA name such as America/New_York. A missing or invalid timezone falls back to UTC. Changing a job's cron expression or timezone through create_scheduled_job or update_scheduled_job recomputes the next run immediately, so the schedule matches the declared wall clock from the first fire.
Write protected configuration
Requires secrets:write and an owner or admin role. Values are encrypted and never returned by a tool response.
| Tool | Purpose |
|---|---|
add_custom_mcp_server | Register an HTTPS MCP server with optional encrypted request headers |
remove_custom_mcp_server | Remove a custom MCP server and its encrypted headers, then update every agent's runtime |
set_model_provider_key | Store supported model-provider access for the workspace |
connect_cloud_agent | Connect a Claude Code routine (from claude.ai/code/routines) so employees can delegate coding tasks to cloud sessions; the trigger token is encrypted and write-only |
set_workspace_secret | Store a named workspace-wide or employee-scoped tool secret; exposeToAgents also projects it into the agents' sandbox environment |
Cloud coding agents
| Tool | Purpose | Requires |
|---|---|---|
connect_cloud_agent | Connect a Claude Code routine; the trigger token is encrypted and write-only | secrets:write, owner or admin |
list_connected_github_for_coding | List workspace-scoped GitHub integrations and repository metadata without returning provider account identifiers, credentials, or tokens | workspace:read, owner or admin |
connect_cloud_coding_repo | Connect a GitHub repo for interactive coding. Private repositories require an existing owner-verified Yodu GitHub App binding; no routine or token is accepted | secrets:write, owner or admin |
list_cloud_agent_connections | List connected cloud coding agents (id, label, repo, trigger id, status); tokens are never included | workspace:read |
update_cloud_agent_connection | Revoke one organization-fenced cloud-agent or cloud-coding connection while preserving its audit record; credentials are never returned | secrets:write, owner or admin |
get_cloud_agent_setup_guide | Return the canonical routine prompt template and the numbered claude.ai setup steps (plan, GitHub, routine, Environment, API trigger); read-only | workspace:read |
Deliberate exclusions
There is no tool to read a stored secret value, select a different workspace, manage billing, impersonate a user, change members, delete the workspace, decide an approval, create an OAuth app connection, or invoke the raw runtime bootstrap. read_task returns only an allowlisted task DTO with approval summaries and evidence-file metadata; raw evidence JSON, activity data, and attachment properties are excluded. list_agent_files returns metadata only, never file bodies. Runtime health and scheduled-run responses omit arbitrary diagnostic payloads and raw provider error text. Destructive reach is limited to configuration entries the same connection created: a custom MCP server registration (remove_custom_mcp_server), a scheduled job (delete_scheduled_job), and a cloud-agent connection (update_cloud_agent_connection revokes it while retaining audit history); employee and workspace deletion stay in the app. Workspace repair is exposed through repair_workspace_runtime (owner/admin only, safety backup first); the underlying bootstrap fetch and container lifecycle stay internal. list_secrets deliberately returns names and safe metadata so clients can detect existing configuration before a rotation; it never returns credential material. Its reachesAgentSandbox field answers a different question from "is it configured": a secret is consumed by the platform on the employees' behalf unless it was stored with exposeToAgents, in which case its value is also placed in their sandbox environment for their own scripts to read. Names the agent runtime deletes (anything ending in API_KEY, TOKEN, PASSWORD, PRIVATE_KEY or SECRET) are refused at write time rather than stored and dropped later, so a credential of that shape belongs in a single connection URL. Platform MCP is a curated operator surface, not a mirror of Yodu's private application API.
