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DimensionConfluent MCP ServerAn open-source MCP server that enables AI assistants to interact with Confluent Cloud, Confluent Platform, and Apache Kafka through natural language.MCP ClickHouseConnect ClickHouse to your AI assistantsChEMBL MCP ServerUnofficial MCP server providing advanced access to the ChEMBL chemical database
FMRS54 / 100 · D79 / 100 · B75 / 100 · B
Reliability6 / 2012 / 2012 / 20
Security and permissions9 / 2018 / 2016 / 20
Maintenance12 / 2017 / 2014 / 20
Documentation14 / 2017 / 2018 / 20
Setup experience13 / 2015 / 2015 / 20
Best for
  • AI assistants interacting with Confluent Cloud or Kafka
  • Development environments using Confluent Platform or local Kafka
  • Teams needing a unified toolset for Kafka, Flink, Schema Registry
  • Teams already using ClickHouse who want AI assistants to access data directly.
  • Scenarios requiring fast, read-only data queries and schema exploration.
  • Drug discovery and computational chemistry researchers
  • Bioinformatics teams needing ChEMBL data through AI assistants
  • Developers comfortable with Node.js or Docker
Not for
  • Kafka users outside the Confluent ecosystem (only subset of tools available)
  • Users wanting a fully managed MCP server (consider Confluent's managed service)
  • Users requiring dedicated support (community support is best-effort only)
  • Scenarios requiring write access to the database without explicit opt-in.
  • Production environments with stringent security requirements that avoid default permission settings.
  • Production settings requiring official ChEMBL support (this is unofficial)
  • Users without a Node.js or Docker environment
  • General database tasks unrelated to ChEMBL
Required permissions
  • Access Kafka topics, consumer groups, and configurations
  • Execute Flink SQL statements and read results
  • Manage schemas in Schema Registry
  • Manage connectors and Tableflow topics
  • Read Confluent Cloud metrics and billing data
  • Requires read-only access to ClickHouse database (default).
  • Optional: write access via CLICKHOUSE_ALLOW_WRITE_ACCESS.
  • Optional: destructive operations via CLICKHOUSE_ALLOW_DROP.
  • Outbound network access to https://www.ebi.ac.uk/chembl/api/data
  • Read-only access to public API data; no authentication credentials required
Risks and side effects
  • Destructive operations (e.g., delete topics, delete schemas) must be authorized carefully
  • OAuth credentials might be exposed if config files are not protected
  • HTTP/SSE transports without API key may be vulnerable to unauthorized access
  • Tableflow tools require cloud IAM permissions; misconfiguration may cause authorization errors
  • If write access is enabled, AI might make unintended modifications.
  • If DROP access is enabled, data deletion could occur accidentally.
  • Credentials may be exposed via environment variables.
  • Unofficial project with license marked NOASSERTION (README claims MIT); verify licensing yourself
  • Data accuracy depends on the ChEMBL REST API and the server's parsing may contain defects
  • 30-second request timeouts may constrain large batch queries
  • README inconsistency on tool count (22 vs 27) raises documentation reliability concerns
Supported clientsClaude Desktop, Claude Code, Cursor, VS Code, Goose, Gemini CLIClaude DesktopClaude Desktop
Tools73427