MCP server that reads Spark profiler files to give accurate Minecraft server tuning advice, parsing binary protobuf directly and diagnosing TPS, MSPT, GC, heap, and call-tree issues.
An MCP server for querying and analyzing Apache Incubator podling health reports. It provides tools to list, search, and compare podling metrics across different time windows from Apache's health report Markdown files.
A server implementation of MCP for Apache Spark that provides query plans and catalog information to AI systems for query optimization and data discovery.
Bridges Spark ASX trading platform with Claude Desktop via MCP, enabling natural language queries for live quotes, positions, P&L, and market analytics.
Enables external agents like Gemini Spark to control Google Antigravity CLI (agy) via Model Context Protocol, supporting multimodal inputs and automatic session management.
A local MCP server that enables Gemini Spark to safely access and work with files in a user-selected workspace via authenticated HTTPS tunnel, with sandboxing, policy enforcement, and audit logging.
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 offline verification of signed artifacts — receipts, manifests, and audit bundles. MIT licensed, works without accounts or API calls. Tools: self_test, verify_receipt, verify_bundle, explain_artifact.
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.
An MCP server that converts Apache Airflow DAGs into Prefect flows. It provides tools to read DAGs, lookup translation knowledge, validate code, search Prefect docs, scaffold projects, deploy, and generate migration reports.
A tool that converts natural-language requests into full, deployable, execution-verified Apache Flink SQL jobs by orchestrating an LLM to draft specs, generate Flink SQL, and verify correctness against real Flink clusters and streaming semantics—including windowed aggregates, joins, Kafka grounding, and Deployable pipelines via the generate_flink_job, ground_kafka_topic, and deploy_to_kafka tools.
Automates the full setup and deployment of Ballerina + Apache ActiveMQ integrations inside a WSO2 Integrator workspace, from broker validation to a runnable BI-low-code-ready project.
Local-first MCP server providing semantic search over library docs, fully offline. Single Go binary speaks MCP over stdio against a vector index pinned to the binary version. Like Context7 with the internet turned off. Apache 2.0. Linux + macOS, also available as a container image.
Builds a dynamic knowledge graph from your notes and uses LLM reasoning to discover blindspots, hidden cross-domain connections, track concept evolution, and spark creative inspiration.