"Apache Flink" matching MCP servers:

Manage Apache Kafka on Kubernetes via Strimzi. Clusters, topics, users, connectors, MirrorMaker2, and node pools.

MCP server exposing rlg (RustLogs) log files as tools for on-call / SRE agent workflows. Three tools over JSON-RPC stdio — tail_log (last N events, filtered by level/target), filter_log (predicate filtering), summarize_errors (grouped error taxonomy). Pure Rust. MIT OR Apache-2.0.

MCP server for Pi Network that enables AI agents to query Pi chain data (balances, transactions) and verify user tokens, with optional payment sending that is off by default.

MCP server for lossless YAML 1.2 editing by AI agents. Two tools — noyalib_get (read a value at a dotted/indexed path) and noyalib_set (write a value, preserving comments/formatting byte-for-byte). Pure Rust, streaming-first serde, JSON Schema validation. MIT OR Apache-2.0.

Enables following a creator's bio link to detect their newsletter, products sold, and contact emails across supported platforms and link-in-bio pages.

Sovereign, encrypted, persistent memory for AI agents. Eight MCP tools — remember, recall, forget (GDPR Art. 17 erasure), share, governance. Anchored on COTI V2 mainnet. Apache-2.0.

Self-hosted Go MCP server that crawls documentation sites into local Markdown/JSONL corpora and lets agents read pages, run crawls, check freshness, and diff changes with zero network access at read time. Single static binary, no CGO, Apache-2.0.

MCP server for chatting with physical-world data from robotics, drones, automotive, and IoT sources using natural language. It generates auditable SQL queries over Apache Arrow/DuckDB to let you analyze, summarize, and build data pipelines.

Provides managed Apache Solr search as MCP tools, enabling hybrid retrieval, server-side GPU embeddings, document indexing, and grounded RAG answers without managing infrastructure.

Enables controlling Amazon Blink cameras, including aiming pan/tilt mounts and capturing snapshots, through MCP tools.

An intelligence layer for discovering and orchestrating Japanese SaaS MCP tools through intent-based search and workflow recipes. It enables AI agents to evaluate service quality using community-driven insights while ensuring privacy through automated PII masking.

A local memory layer for AI coding tools that stores user preferences, lessons, and project context as local files, exposed via MCP so different AI tools can share the same understanding of you.

Local one-shot YAML/JSON agent workflow CLI with tools, approvals, and resume, plus an optional stdio MCP server. Apache-2.0, BYOK.

Full-featured MCP server for Apache Superset — 135+ tools for dashboards, charts, datasets, SQL Lab, security (users, roles, RLS, groups), audit, and more. Built-in safety validations.

Local guardrail proxy for AI coding agents. Wraps any MCP server (stdio or HTTP/SSE) and blocks destructive tool calls before they execute, with TOFU catalog pinning against rug pulls and tool-poisoning/result-injection scanning. Single Rust binary, Apache-2.0.

Retired snapshot of the former 15-tool Apache-2.0 beta. Use Living Stack Community for the free seven-tool proof edition; Complete Local is the paid runtime with memory, recovery, signed traces, release verification, and multi-agent workflows.

Manage Featureflip feature flags, targeting and rollouts from AI agents and editors. 19 tools over the public Management API let agents read flag state, create and toggle flags, edit targeting rules, manage segments and find stale flags from Claude Code, Cursor, Cline or any MCP-compatible client. Every tool is annotated read-only or destructive. Apache-2.0.

Enables MCP-capable clients to monitor and manage Apache Kafka clusters, including topics, partitions, configs, and consumer groups with lag, while enforcing configurable security modes, topic allowlists, protected topics, and audit logging.

Tamper-evident local memory + governance MCP for Claude Code, Cursor and Codex. Free, Apache-2.0. Ships the Claude Code Seatbelt Kit.

Provenance gateway for stdio MCP servers. Runs in front of any MCP server, drafts a policy per tool from the server's own schemas, and blocks a tools/call whose destination or content came from an untrusted tool result, regardless of wording. The blocked call is returned as an error result with the provenance chain. Python, Apache-2.0, pip install reasongate.