"Pug" matching MCP servers:

An MCP server that provides targeted PostgreSQL schema access to AI agents, retrieving only relevant tables for a question and enforcing read-only access through multiple layers.

A secure PostgreSQL Model Context Protocol server that provides read-only database access through tools like schema listing, object inspection, query execution, and EXPLAIN analysis, with database-enforced access control via read-only transactions and a minimal role rather than SQL text parsing.

Diagnoses and manages PostgreSQL logical replication including slot WAL retention, walsender lag, stuck subscriptions, and provides gated remediation tools for safe AI-driven operations.

Enables AI clients to watch local video files or YouTube/Bilibili and other supported URLs, receiving timestamped transcripts, subtitles, searchable text and keyframe contact sheets. Runs fully offline with local speech recognition and bundled ffmpeg, so no API key or cloud upload is needed.

Enables users to convert video URLs into GIF images with customizable size, frame rate, time range, and looping, returning the GIF and a text summary to MCP clients.

Enables read-only PostgreSQL interaction through safe query execution, query planning, table and column inspection, and privilege checks, with multi-layer defenses against write operations and transaction-control exploits.

Provides SQL-backed semantic search over indexed notes using pgvector, exposing tools to search and list note sources via natural language.

Enables LLM assistants to analyze PostgreSQL query execution plans with EXPLAIN and receive structured reports highlighting performance bottlenecks, all through read-only database access.

Enables read-only exploration of a Postgres database using natural language, with multiple safety layers to prevent any modifications.

Query CVEs, yanked releases, known exploits, and upgrade paths for any PostgreSQL version directly from your AI assistant.

Enables AI assistants and agents to search bug bounty programs, retrieve policies and scopes, and check targets against active scope across HackerOne, YesWeHack, and Intigriti using personal API credentials.

Provides read-only access to local Pi coding-agent session transcripts, enabling literal text search, exact session lookup by UUID, deterministic focused context extraction, and stable paginated reading of past conversations. All operations are scoped to a chosen project or all projects and never invoke a nested model.

MCP server for managing houseplants by recording waterings and observations, providing care reminders and diagnosis through natural language.

Enables users to interact with PostgreSQL databases using natural language, converting questions into validated, safe SQL queries and returning execution results with confidence scoring.

Enables read-only PostgreSQL schema exploration through natural language, including tables, indexes, sizes, sample rows, and query plans, with structural safeguards against writes.

A read-only PostgreSQL MCP server for AI coding agents that exposes database schema and sample data as tools, with LLM-powered semantic search enriched by a user-authored semantic layer.

Enables AI agents to read and write UpNote notes locally via SQLite and URL schemes, supporting search, creation, editing, and organization.

Enables unified code search and analysis over a monorepo, combining exact, semantic, and call graph queries with indexing, incremental updates, and impact analysis.

Enables conversational management of quant job search, tailored CV generation, and skill gap analysis through MCP tools. Allows Claude to search, ingest, score jobs, and build/iterate LaTeX CVs.

Enables MCP clients to query a local screen-memory journal through tools such as ask_memory, list_topics, read_topic, read_observation, and read_day_flow, returning cited captured excerpts with app, time, and document metadata.