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.
Query local CSV, Parquet, JSON and TSV files with real SQL via DuckDB. Gives your AI coding tool ground-truth data access instead of hallucinated answers.
Executes SQL queries via ConnectorX and streams results to CSV or Parquet files, supporting multiple databases and optional token counting for CSV output.
Enables AI assistants to interact with local CSV and Parquet data files through natural language queries, facilitating tasks like summarizing datasets or retrieving specific information.
Enables querying, modifying, and managing Parquet files with CRUD operations, semantic search, audit logging, and rollback capabilities for structured data storage.
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 for chDB, the in-process SQL OLAP engine powered by ClickHouse. Lets agents query Parquet, CSV, JSON, and pandas DataFrames with one tool — no separate server, no Docker.