{"id":"realtimex-agent-flows-mcp-server","name":"realtimex-agent-flows-mcp-server","homepage":"https://pypi.org/project/realtimex-agent-flows-mcp-server/","repo_url":"https://github.com/realtimex/agent-flows-mcp-server","category":"devtools","subcategories":[],"tags":["mcp","agent-tools","workflow-automation","ai-integration"],"what_it_does":"realtiemx-agent-flows-mcp-server is an MCP server package intended to expose “agent flows” functionality to AI agents via the Model Context Protocol. It likely enables an agent runtime to discover and call predefined tools/workflows related to RealTimeX agent flows, but the provided prompt contains no README/repo content to confirm the exact tools, inputs/outputs, or operational behavior.","use_cases":["Letting an AI agent invoke predefined RealTimeX “agent flows” via MCP tools","Automating multi-step workflow execution in an agent context","Integrating RealTimeX workflows into agent frameworks that support MCP"],"not_for":["Direct human end-user consumption without an agent runtime","Use cases requiring a public REST/GraphQL API surface (unless the repo also provides one, which is not evidenced here)","Security- or compliance-critical deployments without validating auth, data handling, and transport requirements in the source"],"best_when":"You already have an MCP-capable agent runtime and want to add tool access to RealTimeX agent flows.","avoid_when":"You cannot access/verify the repository’s documentation and configuration (auth, endpoints, tool schemas, error handling) before integrating.","alternatives":["Direct SDK/library integration (if available for RealTimeX workflows)","A dedicated REST/GraphQL integration (if RealTimeX provides one)","A different MCP server that has clearly documented tool contracts and auth model"],"af_score":29.8,"security_score":32.0,"reliability_score":21.2,"package_type":"mcp_server","discovery_source":["pypi"],"priority":"low","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-04-04T21:46:04.376266+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":[],"oauth":false,"scopes":false,"notes":"No authentication details were provided in the prompt content. Auth model must be verified in the repo/documentation."},"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 was provided."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":29.8,"security_score":32.0,"reliability_score":21.2,"mcp_server_quality":45.0,"documentation_accuracy":20.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":40.0,"rate_limit_clarity":0.0,"tls_enforcement":50.0,"auth_strength":30.0,"scope_granularity":20.0,"dependency_hygiene":30.0,"secret_handling":30.0,"security_notes":"No source evidence was provided for transport (TLS), authentication/authorization, secrets handling, or dependency posture. You should verify: (1) TLS-only enforcement, (2) least-privilege auth model, (3) whether secrets are logged or stored in config, and (4) dependency vulnerabilities and update cadence.","uptime_documented":0.0,"version_stability":30.0,"breaking_changes_history":30.0,"error_recovery":25.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["Tool schemas/parameters and side effects are not visible from the provided prompt; verify that agent calls are safe to retry and that failures are distinguishable.","MCP servers may rely on runtime configuration (endpoints/credentials); ensure the agent runtime can supply required context."]}}