opsera-ai-agent
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Endpoint
Hosted endpoint · transport http
Connect
This is a remote MCP server — point an MCP client at the endpoint URL. Clients with native remote support (Claude, Cursor, VS Code, …):
For stdio-only clients (older Claude Desktop, etc.), bridge with mcp-remote:
If the server requires authentication, add the provider's token/header (e.g. an X-API-Key) per its docs. A quick reachability check:
Tool quality observed · not scored
tools with readOnly / destructive hints
parameters described (101 total)
state-changing tools without destructiveHint
tool-list tokens (11 tools)
tools over ~1,200 tokens
Heaviest: opsera_pipelines 1777
From an anonymous initialize + tools/list capture measured 2026-10-20; tokens are chars/3.6 of each tool definition. Recorded for the Kin Score's agent readiness as an observed signal — it contributes no points yet.
Tools
opsera_groups— Group management: list, get, create, delete, get_memberships, add/remove/patch members. See docs/API_REFERENCE.md.opsera_insights— Insights: dashboards, filters, audit logs, KPIs, tool mappings. See docs/API_REFERENCE.md for all operations.opsera_mappings— Data mappings: list, get, create, update. See docs/API_REFERENCE.md.opsera_pipeline_parameters— Pipeline parameters: reusable, configurable key-value pairs scoped to a pipeline. Parameters can be referenced by pipeline steps during execution for dynamic configuration (environment variables, secrets, build flags, deployment targets). Use list to see all parameters for a pipeline before triggering a run. Use create/update to set runtime values. Use get_value for lightweight value retrieval. Parameter types: string (default), number, boolean, secret (masked in logs). See docs/API_REFERENCE.md.opsera_pipelines— Pipelines: monitor runs, security audit, run duration stats, configuration, templates, and lifecycle actions. Execution questions (image tag, artifact, commit SHA): list_runs then get_run (view=artifacts by default). Do not call get afterward. security_audit: find pipelines with disabled security steps; set includeStats=true to include each pipeline average/min/max run duration. runs_stats: average/min/max run duration for one pipelineId or batch pipelineIds (no security filter). get with view=security audits one known pipeline; get without view is full config (large). list is a lightweight catalog. list_runs is recent run timing. action runs mutations. See docs/API_REFERENCE.md.opsera_projects— Projects: list, get, create, update. See docs/API_REFERENCE.md for operations.opsera_reports_and_logs— Reports and logs: reports_tasks_created, reports_pipelines_created, logs_audit_user, logs_task. See docs/API_REFERENCE.md.opsera_search_data_settings— Cross-entity discovery and platform settings. search finds pipeline, task, or registry records by name or ID and returns lightweight metadata only — not execution history, artifacts, durations, or full stage configuration (use opsera_pipelines for those). org_hierarchy and settings_tasks for organizational mapping and task configuration updates. See docs/API_REFERENCE.md.opsera_tasks— Tasks: list, create, status, lookup; lifecycle mutations via operation=action (run, stop, create, update, status). See docs/API_REFERENCE.md.opsera_tools— Tools & registry: identifiers, registry, scm_repositories, scm_branches, registry_configurations. See docs/API_REFERENCE.md.opsera_users— User management: get_current, get, list (optional active=true|false), create, delete. See docs/API_REFERENCE.md.
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.
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