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12 KiB
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{"repo": "assay-tools/assay", "files": {"evaluations/deepseek-claude-mcp-server.json": {"7291875ffbde78678a4aa702ae607fdc5fb40b4a": {"t": 1785745278.0807865, "n": 5486, "h": "0220fd18d17b7f18", "c": "{\n \"id\": \"deepseek-claude-mcp-server\",\n \"name\": \"DeepSeek-Claude MCP Server\",\n \"version_evaluated\": \"current\",\n \"homepage\": \"https://github.com/HarshJ23/deepseek-claude-MCP-server\",\n \"repo_url\": \"https://github.com/HarshJ23/deepseek-claude-MCP-server\",\n \"category\": \"ai-ml\",\n \"subcategories\": [\"ai-ml\"],\n \"tags\": [\"deepseek\", \"claude\", \"llm\", \"mcp-server\", \"ai\", \"multi-model\", \"reasoning\"],\n \"what_it_does\": \"MCP server bridging DeepSeek's reasoning models (DeepSeek-R1, DeepSeek-V3) with Claude-based agents — enabling Claude to delegate complex reasoning tasks to DeepSeek models, use DeepSeek's chain-of-thought capabilities, and integrate DeepSeek's cost-effective high-performance models into Claude-driven workflows as specialized reasoning tools.\",\n \"use_cases\": [\n \"Delegating complex math and logic reasoning to DeepSeek-R1 from Claude agents\",\n \"Using DeepSeek's cost-effective models for high-volume reasoning tasks from orchestration agents\",\n \"Cross-checking Claude's reasoning with DeepSeek's chain-of-thought from quality assurance agents\",\n \"Building multi-model pipelines where DeepSeek handles compute-intensive reasoning from pipeline agents\",\n \"Accessing Chinese AI model capabilities alongside Claude from research agents\"\n ],\n \"not_for\": [\n \"Teams with data sovereignty requirements outside China (DeepSeek processes data in China)\",\n \"Production-critical applications requiring guaranteed uptime SLAs\",\n \"Tasks requiring Claude's specific capabilities — use Claude directly for those\"\n ],\n \"best_when\": \"A Claude agent needs cost-effective heavy reasoning from DeepSeek-R1's capabilities — particularly for math, coding, and logical reasoning where DeepSeek excels at lower cost.\",\n \"avoid_when\": \"You have sensitive data that cannot be processed by DeepSeek's infrastructure (China-based), or you need guaranteed SLAs.\",\n \"alternatives\": [\"gemini-mcp-server\", \"claude-ipc-mcp\", \"mcp-gemini-search\"],\n \"interface\": {\n \"has_rest_api\": true,\n \"has_graphql\": false,\n \"has_grpc\": false,\n \"has_mcp_server\": true,\n \"mcp_server_url\": \"https://github.com/HarshJ23/deepseek-claude-MCP-server\",\n \"has_sdk\": false,\n \"sdk_languages\": [],\n \"openapi_spec_url\": \"https://api-docs.deepseek.com\",\n \"webhooks\": false\n },\n \"auth\": {\n \"methods\": [\"api_key\"],\n \"oauth\": false,\n \"scopes\": false,\n \"notes\": \"DeepSeek API key required. Set DEEPSEEK_API_KEY environment variable. Get key from platform.deepseek.com. DeepSeek uses OpenAI-compatible API format.\"\n },\n \"pricing\": {\n \"model\": \"usage_based\",\n \"free_tier_exists\": true,\n \"free_tier_limits\": \"DeepSeek provides free credits for new accounts\",\n \"paid_tiers\": \"DeepSeek-V3: $0.27/1M input tokens; DeepSeek-R1: $0.55/1M input tokens (much cheaper than Claude/GPT-4)\",\n \"requires_credit_card\": false,\n \"notes\": \"DeepSeek is significantly cheaper than Claude or GPT-4 for equivalent capabilities. Free credits for new accounts. MCP server is free open source.\"\n },\n \"performance\": {\n \"latency_p50_ms\": 2000,\n \"latency_p99_ms\": 15000,\n \"uptime_sla_percent\": 99.0,\n \"rate_limits\": \"DeepSeek API rate limits apply; may have capacity constraints during peak demand\",\n \"data_source\": \"public_docs\"\n },\n \"requirements\": {\n \"requires_signup\": true,\n \"requires_credit_card\": false,\n \"domain_verification\": false,\n \"data_residency\": [\"CN\"],\n \"compliance\": [],\n \"min_contract\": \"none\"\n },\n \"agent_readiness\": {\n \"mcp_server_quality\": 65,\n \"documentation_accuracy\": 68,\n \"error_message_quality\": 65,\n \"auth_complexity\": 88,\n \"rate_limit_clarity\": 72,\n \"tls_enforcement\": 92,\n \"auth_strength\": 82,\n \"scope_granularity\": 72,\n \"dependency_hygiene\": 72,\n \"secret_handling\": 82,\n \"uptime_documented\": 68,\n \"version_stability\": 65,\n \"breaking_changes_history\": 62,\n \"error_recovery\": 65,\n \"pagination_style\": \"none\",\n \"idempotency_support\": \"partial\",\n \"retry_guidance_documented\": false,\n \"known_agent_gotchas\": [\n \"Data sovereignty: DeepSeek processes data in China — do not send sensitive/private data\",\n \"DeepSeek API can have capacity issues during high-demand periods — implement retries\",\n \"DeepSeek-R1 reasoning output includes <think> tags — parse these correctly in responses\",\n \"Community MCP — may need updates as DeepSeek API evolves\",\n \"DeepSeek models have different strengths than Claude — don't assume equivalent behavior\",\n \"Rate limits are stricter than major US AI providers — plan for throttling\"\n ],\n \"security_notes\": \"HTTPS. API key auth. Data processed by DeepSeek in China — CRITICAL: evaluate data sensitivity before use. China data residency may violate GDPR, HIPAA, or corporate data policies.\"\n },\n \"af_score_components\": {\n \"mcp_score\": 65,\n \"api_doc_score\": 68,\n \"error_handling_score\": 65,\n \"auth_complexity_score\": 88,\n \"rate_limit_clarity_score\": 72\n },\n \"security_score_components\": {\n \"tls_enforcement\": 92,\n \"auth_strength\": 82,\n \"scope_granularity\": 72,\n \"dependency_hygiene\": 72,\n \"secret_handling\": 82,\n \"security_notes\": \"HTTPS. API key. China data residency — do not use for sensitive, regulated, or confidential data. Evaluate compliance requirements before deployment.\"\n },\n \"reliability_score_components\": {\n \"uptime_documented\": 68,\n \"version_stability\": 65,\n \"breaking_changes_history\": 62,\n \"error_recovery\": 65\n }\n}\n"}, "bb69c3ee474ee09570cfa7627b20644944a3a2d6": {"t": 1785749637.1729362, "n": 5486, "h": "0220fd18d17b7f18", "c": "{\n \"id\": \"deepseek-claude-mcp-server\",\n \"name\": \"DeepSeek-Claude MCP Server\",\n \"version_evaluated\": \"current\",\n \"homepage\": \"https://github.com/HarshJ23/deepseek-claude-MCP-server\",\n \"repo_url\": \"https://github.com/HarshJ23/deepseek-claude-MCP-server\",\n \"category\": \"ai-ml\",\n \"subcategories\": [\"ai-ml\"],\n \"tags\": [\"deepseek\", \"claude\", \"llm\", \"mcp-server\", \"ai\", \"multi-model\", \"reasoning\"],\n \"what_it_does\": \"MCP server bridging DeepSeek's reasoning models (DeepSeek-R1, DeepSeek-V3) with Claude-based agents — enabling Claude to delegate complex reasoning tasks to DeepSeek models, use DeepSeek's chain-of-thought capabilities, and integrate DeepSeek's cost-effective high-performance models into Claude-driven workflows as specialized reasoning tools.\",\n \"use_cases\": [\n \"Delegating complex math and logic reasoning to DeepSeek-R1 from Claude agents\",\n \"Using DeepSeek's cost-effective models for high-volume reasoning tasks from orchestration agents\",\n \"Cross-checking Claude's reasoning with DeepSeek's chain-of-thought from quality assurance agents\",\n \"Building multi-model pipelines where DeepSeek handles compute-intensive reasoning from pipeline agents\",\n \"Accessing Chinese AI model capabilities alongside Claude from research agents\"\n ],\n \"not_for\": [\n \"Teams with data sovereignty requirements outside China (DeepSeek processes data in China)\",\n \"Production-critical applications requiring guaranteed uptime SLAs\",\n \"Tasks requiring Claude's specific capabilities — use Claude directly for those\"\n ],\n \"best_when\": \"A Claude agent needs cost-effective heavy reasoning from DeepSeek-R1's capabilities — particularly for math, coding, and logical reasoning where DeepSeek excels at lower cost.\",\n \"avoid_when\": \"You have sensitive data that cannot be processed by DeepSeek's infrastructure (China-based), or you need guaranteed SLAs.\",\n \"alternatives\": [\"gemini-mcp-server\", \"claude-ipc-mcp\", \"mcp-gemini-search\"],\n \"interface\": {\n \"has_rest_api\": true,\n \"has_graphql\": false,\n \"has_grpc\": false,\n \"has_mcp_server\": true,\n \"mcp_server_url\": \"https://github.com/HarshJ23/deepseek-claude-MCP-server\",\n \"has_sdk\": false,\n \"sdk_languages\": [],\n \"openapi_spec_url\": \"https://api-docs.deepseek.com\",\n \"webhooks\": false\n },\n \"auth\": {\n \"methods\": [\"api_key\"],\n \"oauth\": false,\n \"scopes\": false,\n \"notes\": \"DeepSeek API key required. 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MCP server is free open source.\"\n },\n \"performance\": {\n \"latency_p50_ms\": 2000,\n \"latency_p99_ms\": 15000,\n \"uptime_sla_percent\": 99.0,\n \"rate_limits\": \"DeepSeek API rate limits apply; may have capacity constraints during peak demand\",\n \"data_source\": \"public_docs\"\n },\n \"requirements\": {\n \"requires_signup\": true,\n \"requires_credit_card\": false,\n \"domain_verification\": false,\n \"data_residency\": [\"CN\"],\n \"compliance\": [],\n \"min_contract\": \"none\"\n },\n \"agent_readiness\": {\n \"mcp_server_quality\": 65,\n \"documentation_accuracy\": 68,\n \"error_message_quality\": 65,\n \"auth_complexity\": 88,\n \"rate_limit_clarity\": 72,\n \"tls_enforcement\": 92,\n \"auth_strength\": 82,\n \"scope_granularity\": 72,\n \"dependency_hygiene\": 72,\n \"secret_handling\": 82,\n \"uptime_documented\": 68,\n \"version_stability\": 65,\n \"breaking_changes_history\": 62,\n \"error_recovery\": 65,\n \"pagination_style\": \"none\",\n \"idempotency_support\": \"partial\",\n \"retry_guidance_documented\": false,\n \"known_agent_gotchas\": [\n \"Data sovereignty: DeepSeek processes data in China — do not send sensitive/private data\",\n \"DeepSeek API can have capacity issues during high-demand periods — implement retries\",\n \"DeepSeek-R1 reasoning output includes <think> tags — parse these correctly in responses\",\n \"Community MCP — may need updates as DeepSeek API evolves\",\n \"DeepSeek models have different strengths than Claude — don't assume equivalent behavior\",\n \"Rate limits are stricter than major US AI providers — plan for throttling\"\n ],\n \"security_notes\": \"HTTPS. API key auth. Data processed by DeepSeek in China — CRITICAL: evaluate data sensitivity before use. China data residency may violate GDPR, HIPAA, or corporate data policies.\"\n },\n \"af_score_components\": {\n \"mcp_score\": 65,\n \"api_doc_score\": 68,\n \"error_handling_score\": 65,\n \"auth_complexity_score\": 88,\n \"rate_limit_clarity_score\": 72\n },\n \"security_score_components\": {\n \"tls_enforcement\": 92,\n \"auth_strength\": 82,\n \"scope_granularity\": 72,\n \"dependency_hygiene\": 72,\n \"secret_handling\": 82,\n \"security_notes\": \"HTTPS. API key. China data residency — do not use for sensitive, regulated, or confidential data. Evaluate compliance requirements before deployment.\"\n },\n \"reliability_score_components\": {\n \"uptime_documented\": 68,\n \"version_stability\": 65,\n \"breaking_changes_history\": 62,\n \"error_recovery\": 65\n }\n}\n"}}}} |