{"id":"stock-modelscope-mcp-server","name":"stock-modelscope-mcp-server","homepage":"https://pypi.org/project/stock-modelscope-mcp-server/","repo_url":null,"category":"ai-ml","subcategories":[],"tags":["mcp","ai-ml","stock","modelscope","agent-tools","server"],"what_it_does":"An MCP (Model Context Protocol) server package intended to expose functionality related to “stock-modelscope” models/tools to MCP-compatible agents. Based on the provided package name only, it likely lets an agent query stock-related model outputs through MCP tools.","use_cases":["Connect an LLM/agent to stock/model inference capabilities via MCP tooling","Build agent workflows that need stock-model predictions or related data transformations","Prototype retrieval/inference pipelines for stock-related tasks using MCP tool calls"],"not_for":["Directly serving end-user applications without an integration layer","Use cases requiring guaranteed audited financial data provenance","Environments where outbound network access or model calls must be strictly controlled without additional governance"],"best_when":"You have an MCP-capable agent runtime and want to integrate stock-modelscope tools as structured MCP tools.","avoid_when":"You need a stable, documented REST/SDK interface or you require strict guarantees about financial-data compliance/provenance not covered by this package.","alternatives":["Directly calling the underlying modelscope/stock model APIs (if available) without MCP","Using an MCP server specific to your data source (e.g., a dedicated market data API MCP)","Building a thin adapter that wraps model inference behind your own REST API with OpenAPI and auth"],"af_score":38.5,"security_score":27.0,"reliability_score":22.5,"package_type":"mcp_server","discovery_source":["pypi"],"priority":"low","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-04-04T21:43:30.433570+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 input, so auth method and scope behavior are unknown."},"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 in the input."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":38.5,"security_score":27.0,"reliability_score":22.5,"mcp_server_quality":55.0,"documentation_accuracy":35.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":50.0,"rate_limit_clarity":10.0,"tls_enforcement":30.0,"auth_strength":20.0,"scope_granularity":20.0,"dependency_hygiene":40.0,"secret_handling":30.0,"security_notes":"No concrete implementation/security documentation was provided. MCP servers often require careful handling of model credentials and tool inputs; absent evidence, scores are conservative.","uptime_documented":0.0,"version_stability":30.0,"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":["MCP servers vary widely in tool naming/parameter schemas; mismatches can cause agent tool-call failures.","Without documented rate limits, agents may need conservative retry/backoff to avoid upstream throttling.","If the MCP server wraps model inference, non-idempotent operations (or expensive calls) may make naive retries costly."]}}