arch-agent-platform

Descriptor

Candidate descriptor · transport stdio

Tools

• platform_connect — Connect and authenticate to the platform
• platform_projects — Manage projects (list, get, create, update, delete)
• platform_workflows — Create
• platform_auth_profiles — Manage profile metadata and start secure OAuth flows
• platform_integrations — Create
• platform_mcp_servers — Provision MCP servers; discover
• platform_agents — Manage agents (list, get, save_dsl)
• platform_versions — Manage immutable versions (list, get, publish, qualifications, audit, diff)
• platform_deployments — Manage typed deployments (list, get, create, promote, rollback, restore, retire)
• platform_sdk_channels — Create SDK keys and web
• platform_tools — Manage tools (list, get, create, update, delete, test)
• platform_import_export — Import and export projects
• platform_config — Manage project and LLM configuration
• platform_workspaces — List
• platform_arch_sop — Drive Studio Arch SOP-build sessions
• platform_arch_auto_loop — Drive project-scoped Arch Auto Loop repair workflows
• platform_project_builder — Discover provider contracts
• platform_project_builder_operations — Continue durable operations and execute attempt-bound governed actions
• agent_tables — Manage Agent Tables definitions and project-scoped rows
• platform_eval_personas — Manage and generate eval personas
• platform_eval_scenarios — Manage and generate eval scenarios
• platform_eval_evaluators — Manage eval evaluators and templates
• platform_eval_sets — Manage eval sets
• platform_eval_runs — Manage eval runs
• debug_harness_logs — Get CI execution logs
• platform_validate_package — Validate a local package and optional import preview
• platform_package_model — Show compiler-visible agents
• debug_lint_abl — Run ABL repair and design lint checks
• debug_why_transcript_failed — Correlate transcript symptoms with ABL file/line causes
• debug_diagnose_transcript — Alias for transcript failure diagnosis
• debug_list_agents — List available agents by domain
• debug_load_agent — Load an agent and create a debug session
• debug_send_message — Send a message to an agent
• debug_get_current_state — Inspect agent context
• debug_traces — Search trace events (type, text, agent, error)
• debug_session_history — Page durable Runtime sessions and persisted traces
• debug_get_span_tree — View hierarchical execution flow
• debug_explain_decision — Explain agent decisions with context
• debug_get_flow_graph — View state machine graph (JSON or Mermaid)
• debug_get_errors — Get errors
• debug_list_active_sessions — List observable sessions
• debug_session — Subscribe/unsubscribe to session traces
• debug_docs — Get or search ABL documentation
• debug_diagnose — Diagnose agent config and execution issues
• debug_analyze_session — Automated session diagnostics

About MCP

The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.

Browse every MCP server on the APIs.io network or compare with the broader Agent Skill surfaces of the same providers.

Work with this as data

Every MCP server here is available over the APIs.io API and to AI agents over MCP.

curl "https://apis.io/api/v1/mcp/arch-agent-platform"

curl "https://apis.io/api/v1/mcp?limit=25"