{"id":"siliconflow-mcp-server","name":"siliconflow-mcp-server","homepage":"https://pypi.org/project/siliconflow-mcp-server/","repo_url":null,"category":"ai-ml","subcategories":[],"tags":["ai-ml","mcp","llm","agents","model-provider-integration"],"what_it_does":"siliconflow-mcp-server is an MCP (Model Context Protocol) server that exposes SiliconFlow/LLM capabilities to MCP-compatible agents/tools, turning the provider’s API into callable MCP tools.","use_cases":["Connect MCP-compatible AI agents to SiliconFlow models","Build agent workflows that require chat/completions via MCP","Rapid prototyping of tool-augmented LLM calls"],"not_for":["Production-critical environments that require formally documented SLAs and comprehensive operational guarantees (based on provided info)","Use cases requiring a non-MCP HTTP/SDK interface only","Environments where you cannot expose provider API keys to your MCP host runtime"],"best_when":"You are already using MCP tooling/hosts and want an agent-friendly bridge to SiliconFlow models.","avoid_when":"You need a fully-specified REST/OpenAPI interface, strong documented rate-limit headers, or turnkey hosted service guarantees rather than a self-run MCP server.","alternatives":["Use SiliconFlow’s native API directly (if available)","Use another MCP server that targets your preferred LLM provider","Call LLMs via an SDK from your application instead of MCP"],"af_score":41.8,"security_score":49.5,"reliability_score":25.0,"package_type":"mcp_server","discovery_source":["pypi"],"priority":"low","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-04-04T21:44:28.911211+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 (likely, for upstream SiliconFlow access)"],"oauth":false,"scopes":false,"notes":"No explicit auth details were provided in the prompt. MCP servers typically use an environment variable/API key to access the upstream provider; confirm in the repository README/config."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"Pricing not provided in the prompt; MCP server pricing is typically whatever the upstream LLM provider charges plus your infra."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":41.8,"security_score":49.5,"reliability_score":25.0,"mcp_server_quality":45.0,"documentation_accuracy":35.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":55.0,"rate_limit_clarity":20.0,"tls_enforcement":60.0,"auth_strength":55.0,"scope_granularity":35.0,"dependency_hygiene":45.0,"secret_handling":50.0,"security_notes":"Because the prompt does not include repo-specific details, scores assume a typical MCP pattern: the server likely receives an upstream API key via environment variables. Key risks to verify in the actual repo: whether TLS is enforced for any outbound calls, whether logs redact secrets, whether the MCP server supports least-privilege scoping, and whether any proxy endpoints expose provider credentials.","uptime_documented":0.0,"version_stability":35.0,"breaking_changes_history":35.0,"error_recovery":30.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["MCP-to-LLM calls are not automatically idempotent; retries may duplicate completions unless the server/client adds safeguards.","Agents may need to correctly map tool inputs (model name, max tokens, temperature, etc.) to the MCP tool schema—mismatches can cause tool-call failures.","If the MCP server does not stream or exposes streaming metadata, agents expecting incremental tokens may degrade performance."]}}