{"id":"napthaai-automcp","name":"automcp","homepage":"https://auto-mcp.com/","repo_url":"https://github.com/NapthaAI/automcp","category":"devtools","subcategories":[],"tags":["mcp","tooling","adapter","agent-frameworks","python","stdio","sse"],"what_it_does":"automcp scaffolds and runs MCP (Model Context Protocol) servers that wrap existing agent frameworks (e.g., CrewAI, LangGraph, LlamaIndex) as MCP tools, exposing them to MCP clients via stdio or SSE transport.","use_cases":["Turn an existing agent implementation into an MCP server quickly","Connect framework-specific tools/agents to MCP clients like Cursor or Claude Desktop","Deploy an MCP server as a service (e.g., Naptha MCPaaS) using generated run scripts"],"not_for":["Producing a fully managed hosted API with first-class auth/rate limiting out of the box","Use cases requiring strict, documented operational guarantees (SLA/error semantics/idempotency) without reviewing generated code"],"best_when":"You have an agent framework codebase already and want to expose it as an MCP server with minimal glue code.","avoid_when":"You need robust built-in security controls (authz, audit logging, tenant isolation) and clearly specified reliability semantics without customizing the generated server.","alternatives":["Write MCP server adapters manually using the MCP SDK directly","Use existing community MCP adapters for your specific framework (if available)","Wrap your agent behind your own HTTP API and expose it to MCP via a thin adapter"],"af_score":56.0,"security_score":32.2,"reliability_score":25.0,"package_type":"mcp_server","discovery_source":["github"],"priority":"high","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-03-30T13:33:47.392203+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":"The README shows using environment variables (e.g., OPENAI_API_KEY) but does not describe MCP-level authentication/authorization for the server transports (stdio/SSE)."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"PyPI package; no pricing info for the library itself in provided content."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":56.0,"security_score":32.2,"reliability_score":25.0,"mcp_server_quality":70.0,"documentation_accuracy":65.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":85.0,"rate_limit_clarity":10.0,"tls_enforcement":30.0,"auth_strength":20.0,"scope_granularity":10.0,"dependency_hygiene":55.0,"secret_handling":55.0,"security_notes":"No server-side auth/authz is described for MCP transports. SSE usage implies network exposure, but the README does not discuss TLS, authentication headers, or access controls. The example shows suppressing warnings and redirecting stderr for stdio protocol integrity; it does not cover logging redaction of secrets. Dependencies listed are limited and include mcp and pydantic; no vulnerability/upgrade guidance is provided in the content.","uptime_documented":0.0,"version_stability":40.0,"breaking_changes_history":30.0,"error_recovery":30.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["STDIO transport is fragile: warnings/prints can corrupt the protocol; README suggests suppressing warnings and redirecting stderr","For SSE transport, server must be started separately and the client configured to connect to the running SSE endpoint","Generated run_mcp.py contains placeholders requiring developer edits to wire in the actual agent and schema"]}}