- ENCODE Toolkit @ammawla/encode-toolkit20 MCP tools + 48 skills for ENCODE Project genomics — search, download, pipelines4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from npm.21 GitHub stars.
- Dolphin Pilot @iflytek/dolphin-mcp-pilotAI agent interface to Apache DolphinScheduler: 58 MCP tools for workflow orchestration & data ops.5% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from Docker.18 GitHub stars.
- Druid @iunera/druid-mcp-serverAI-powered MCP server for Apache Druid cluster management and analytic6% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from Docker.18 GitHub stars.
- Model Ledger @block/model-ledgerModel inventory and governance: trace deployed models and their dependencies as an append-only log3% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.15 GitHub stars.
- Medical Terminologies MCP @sidneybissoli/medical-terminologies-mcpDiagnoses, drugs & lab codes: ICD-11, LOINC, RxNorm, MeSH, ATC, CID-10. 33 tools, MIT.2% chance this is malicious. Assessed by AI, which can make mistakes.A remote server; no sign-in.15 GitHub stars.
- Datris @datris/datrisThe data control plane for AI agents — acquire, validate, land, and query data over MCP.6% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.12 GitHub stars.
- Scherlok @rbmuller/scherlokZero-config data-quality monitoring: profile a warehouse, detect anomalies, gate CI.4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.11 GitHub stars.
- fabric-dw @sdebruyn/fabric-dw-mcpMCP server for Microsoft Fabric Data Warehouses and SQL Analytics Endpoints4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from Docker.10 GitHub stars.
- dead-letter @bigcactuslabs/dead-letterConvert .eml and .mbox email to clean Markdown for RAG, LLM pipelines, and local knowledge bases3% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.8 GitHub stars.
- Garmin Local @anup-shesh/garmin-local-mcpLocal-first Garmin data warehouse: sync once to SQLite, analyze trends and correlations offline.3% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.8 GitHub stars.
- ContractGate @nightmoose/contractgateInfer, dry-run, deploy, and inspect ContractGate semantic data contracts.4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from npm.4 GitHub stars.
- YAML Workflow @orieg/yaml-workflowExpose declarative YAML-defined workflows as MCP tools over stdio4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.4 GitHub stars.
- Celigo @celigo/celigoManage your Celigo integrator.io account: integrations, flows, connections, errors, and jobs.5% chance this is malicious. Assessed by AI, which can make mistakes.A remote server; you sign in with your account.4 GitHub stars.
- Data Profiler @haiiibin/data-profiler-mcpProfiles CSV/Parquet/Excel/JSON files: schema, stats, quality flags and dtype tips for LLM agents.3% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.3 GitHub stars.
- DataHub @txn2/mcp-datahubMCP server for DataHub data catalogs. Discover datasets, explore lineage, and access metadata.3% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from MCPB.3 GitHub stars.
- Trino @txn2/mcp-trinoMCP server for Trino data warehouses. Query, analyze plans, and explore schemas.4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from MCPB.3 GitHub stars.
- DataRaum @dataraum/dataraumPre-computed metadata context engine for AI-driven data analytics5% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.3 GitHub stars.
- dbt-plan @presentjay/dbt-planPredicts the DDL a dbt change will execute, before you run it. Reads files, not the warehouse.2% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.2 GitHub stars.
- DataSentry @jackxiaozhiren/datasentryLocal-first MCP server for data-quality discovery, evidence, drift, and controlled repair.3% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.2 GitHub stars.
- Autario @autario/autario-mcpQuery 8,000+ verified open datasets (World Bank, Eurostat, FRED, SEC) with stats and charts.5% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from npm.2 GitHub stars.
- DataPulse @r3dz4r/datapulse-myRead-only discovery for 440 Malaysian public datasets with freshness, licence, and provenance.3% chance this is malicious. Assessed by AI, which can make mistakes.A remote server; no sign-in.2 GitHub stars.
- Catalog Attribute Normalizer @acjlabs/catalog-normalizerCatalog attribute normalizer, taxonomy-grounded — no fabricated Google/Shopify category IDs.4% chance this is malicious. Assessed by AI, which can make mistakes.A remote server; no sign-in.2 GitHub stars.
- Incident Response MCP for Apache Airflow @madamak/apache-airflow-mcp-serverDiagnose Airflow failures from UI links with bounded logs and optional recovery actions.5% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.2 GitHub stars.
- Airflow @us-all/airflowAirflow MCP — list DAGs/runs/task instances, tail logs, trigger and clear (write-gated)6% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from npm.2 GitHub stars.
