{"id":"pingera-mcp-server","name":"pingera-mcp-server","homepage":"https://pypi.org/project/pingera-mcp-server/","repo_url":"https://github.com/pingera/pingera-mcp","category":"monitoring","subcategories":[],"tags":["mcp","monitoring","statuspages","python","fastmcp","sse","playwright","synthetic-checks","integration"],"what_it_does":"Provides an MCP (Model Context Protocol) server that exposes Pingera monitoring data and (optionally) write operations as MCP tools. Supports stdio (default) for local MCP clients and an HTTP/SSE transport for remote clients, with environment-variable or Authorization-header based authentication.","use_cases":["Let AI agents query Pingera status pages, components, checks, incidents, and alerts","Use MCP tooling to perform synthetic check execution and retrieve results (per exposed tools)","Enable read-write operations for automated incident/commentary workflows and monitoring configuration changes","Integrate monitoring context into LLM applications via MCP Inspector or MCP-compatible clients"],"not_for":["Public internet exposure without strong auth and transport protections","Use as a general-purpose Pingera API replacement without MCP-specific tool contracts","Environments that require explicit, verifiable rate-limit and retry semantics from this specific server (not clearly documented)"],"best_when":"You want an MCP-compatible interface for monitoring context (and possibly configuration updates) with a clear set of tools and environment-based configuration.","avoid_when":"You cannot provide/manage the required Pingera credentials or you need guaranteed idempotent behavior for write tools without further verification.","alternatives":["Use pingera-sdk directly in your application instead of MCP","Expose Pingera via your own API gateway with documented REST contracts and auth/rate limits","Use a different MCP server that targets your monitoring stack with OpenAPI/SDK parity"],"af_score":65.0,"security_score":52.5,"reliability_score":21.2,"package_type":"mcp_server","discovery_source":["pypi"],"priority":"low","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-04-04T21:48:30.553582+00:00","interface":{"has_rest_api":false,"has_graphql":false,"has_grpc":false,"has_mcp_server":true,"mcp_server_url":null,"has_sdk":false,"sdk_languages":[],"openapi_spec_url":null,"webhooks":false},"auth":{"methods":["API key via Authorization header (SSE mode)","JWT Bearer token via Authorization header (SSE mode)","Environment variable fallback: PINGERA_API_KEY and/or PINGERA_JWT_TOKEN"],"oauth":false,"scopes":false,"notes":"Read-only vs read-write is controlled by PINGERA_MODE (tool exposure respects mode). SSE mode includes REQUIRE_AUTH_HEADER and allows optional header-based auth per request."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"No pricing information provided for the package itself; Pingera API usage may incur costs depending on Pingera account."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":65.0,"security_score":52.5,"reliability_score":21.2,"mcp_server_quality":78.0,"documentation_accuracy":75.0,"error_message_quality":null,"error_message_notes":"README indicates 'Robust Error Handling' and custom exception hierarchy, but does not show example MCP/HTTP error responses or error-code mapping. Retry/idempotency semantics are also not specified for write operations.","auth_complexity":70.0,"rate_limit_clarity":20.0,"tls_enforcement":40.0,"auth_strength":65.0,"scope_granularity":40.0,"dependency_hygiene":55.0,"secret_handling":60.0,"security_notes":"Auth is provided via API key or JWT Bearer token (SSE Authorization header) and/or environment variables. The README does not explicitly state TLS/HTTPS requirements for the SSE endpoint. Tool exposure is gated by read-only vs read-write mode, which provides coarse authorization boundaries. Rate limits, security headers, and secure logging/redaction behaviors are not documented. Dependency hygiene is uncertain (includes multiple third-party libraries such as google-generativeai and sift-stack-py; no vulnerability/SBOM details provided).","uptime_documented":0.0,"version_stability":35.0,"breaking_changes_history":0.0,"error_recovery":50.0,"idempotency_support":"false","idempotency_notes":"Write tools exist (create/update/patch/delete etc.), but the README does not describe whether repeated calls are safe/idempotent (e.g., create vs patch semantics).","pagination_style":"page/per_page","retry_guidance_documented":false,"known_agent_gotchas":["By default the server runs in read-only mode; write-operation tools are not exposed even if requested in SSE via X-MCP-Tools.","Tool filtering in SSE mode is controlled via X-MCP-Tools header; if omitted, tool exposure depends on server mode.","SSE mode may require Authorization header depending on REQUIRE_AUTH_HEADER; otherwise environment-variable fallback may apply.","Pagination parameters (page, per_page) exist for list_pages; ensure agents supply them to avoid large responses."]}}