{"id":"tdengine-mcp-server","name":"tdengine-mcp-server","homepage":"https://pypi.org/project/tdengine-mcp-server/","repo_url":null,"category":"infrastructure","subcategories":[],"tags":["mcp","tdengine","time-series","database","agent-tools"],"what_it_does":"Provides an MCP (Model Context Protocol) server integration for TDengine (open-source time-series database), enabling AI agents to interact with TDengine via MCP tools.","use_cases":["Letting AI agents query TDengine time-series data using MCP tool calls","Building agent workflows that analyze telemetry/metrics stored in TDengine","Abstracting TDengine access behind an MCP interface for LLM-driven operations"],"not_for":["Direct end-user database access without an agent/MCP runtime","Production-grade database administration unless MCP server is verified for security, correctness, and operational hardening","Environments requiring strict enterprise compliance guarantees without documented controls"],"best_when":null,"avoid_when":null,"alternatives":["Use TDengine native drivers/APIs directly from your application (avoid MCP layer)","Build a small custom tool layer (REST/SDK wrapper) that exposes only safe, parameterized queries to your agent framework","If available, use other DB-specific MCP servers or generic SQL MCP integrations"],"af_score":36.8,"security_score":40.0,"reliability_score":26.2,"package_type":"mcp_server","discovery_source":["pypi"],"priority":"low","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-04-04T21:42:39.978563+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 mechanisms could be verified from the provided information. MCP servers commonly accept DB credentials (or environment variables), but specifics are not available here."},"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 provided; likely open-source tooling."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":36.8,"security_score":40.0,"reliability_score":26.2,"mcp_server_quality":45.0,"documentation_accuracy":35.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":50.0,"rate_limit_clarity":0.0,"tls_enforcement":60.0,"auth_strength":40.0,"scope_granularity":20.0,"dependency_hygiene":40.0,"secret_handling":40.0,"security_notes":"No concrete repository/manifests were provided here to verify TLS-only connections, credential handling, or dependency health. Treat DB credentials as highly sensitive; the MCP layer can increase blast radius if it allows broad query capabilities.","uptime_documented":0.0,"version_stability":35.0,"breaking_changes_history":30.0,"error_recovery":40.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["If tool calls can execute arbitrary SQL, agents may generate unsafe or overly expensive queries","Time-series queries may be sensitive to time range/window parameters; agents might omit bounds leading to large scans","Without clear schema/tool parameter definitions, agents may hallucinate table/column names"]}}