"Information about PG Vector" matching MCP servers:

Searches and browses local Claude Code and Cowork session histories stored on your machine, enabling questions about past work without uploading data.

Enables AI assistants to control Windows PCs by executing shell commands, managing files, capturing screenshots, and monitoring system information through a comprehensive set of MCP tools.

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.

Converts vector PDF circuit schematics into evidence-preserving SchematicIR JSON with tools to inspect, convert, and validate schematic PDFs.

A TypeScript-based MCP server that enables Claude Desktop to perform file operations and retrieve system information, with built-in security features that restrict access to safe directories only.

Enables ChatGPT, Codex, and compatible MCP clients to read bounded UTF-8 text and create files or directories in operator-selected folders, with strict protections against overwrites, deletes, and path escapes.

A read-only MCP server that lets local AI agents inspect open Mac windows, browser tabs, PDFs, clipboard contents, Finder selections, and Messages history so they can answer questions about what the user is currently viewing.

Enables Claude to read and analyze project schedule files in OmniPlan (.oplx) and Microsoft Project (.mpp) formats, answering questions about tasks, milestones, resources, and progress.

Enables agents to discover and manage Raspberry Pis and other SSH devices on a LAN, including authentication, command execution, file and directory operations, reboots, and ctrlPi API installation.

MCP server that allows AI agents to read, search, summarize, and answer questions about local PDF, DOCX, XLSX, and TXT files through five tools.

Provides advanced document search and processing capabilities through vector stores, including PDF processing, semantic search, web search integration, and file operations. Enables users to create searchable document collections and retrieve relevant information using natural language queries.

Enables natural-language queries about disk usage by driving WizTree scans and analyzing cached CSV snapshots. Users can find large files, duplicate data, folder breakdowns, and more without repeatedly rescanning the disk.

MCP server exposing pi coding-agent tools for file and shell operations, including read, write, edit, bash, grep, find, and ls.

Lets MCP clients search, read, create, append, replace, move, and batch-update local Markdown notes safely, with conflict detection via SHA-256 and optional managed update blocks, without requiring a vector database.

Offline AI-powered local file search MCP server for Windows. Searches inside document contents (Word, Excel, PDF, PowerPoint, HWP) using BM25 + dense vector hybrid search. 100% local, no cloud, no login, no telemetry.

Provides a Dockerized MCP worker that gives Poke AI assistants persistent terminal control and filesystem access on your machine, with automatic tunnel connection and optional command notifications.

Provides AI assistants with persistent memory through local ChromaDB vector storage, featuring automated file ingestion and batch processing for over 70 file types. It enables advanced vector search, EXIF metadata extraction for photos, and duplicate file detection across local directories.

Enables local-first, offline hybrid retrieval from Markdown notes, MinerU papers, and code via MCP, with BM25 keyword and local vector search, outline-aware chunking, PDF twin-binding, and incremental file watching.

A very simple vector store that provides capability to watch a list of directories, and automatically index all the markdown, html and text files in the directory to a vector store to enhance context.

AI-powered portfolio management and investment analysis server that enables theme-based investment research, portfolio evaluation, market data analysis, news monitoring, SEC filings retrieval, and automated report generation with Obsidian integration.

Converts CAD drawings (DXF/DWG) into structured data, enabling Claude to read drawings and answer questions about their content.

A TypeScript MCP server example providing basic developer tools: hello world greeting, arithmetic calculator, and file information retrieval.

一个基于FastMCP协议的文件向量化服务，支持自动目录监控、多格式文件处理和高效向量搜索，帮助构建个人或团队知识库。

A multi-functional computing platform server designed to integrate with large language models like Qwen, providing file access, database connections, API integration, and vector database functionality.

Enterprise MCP server providing a suite of tools including file, database, GitHub, Slack, calendar, email, vector search, and Python execution, with safe defaults and OpenAI integration for automatic tool selection.

Provides comprehensive utility tools including file operations, weather information, system monitoring, mathematical calculations, text search, and safe command execution. Enables users to perform various system and data operations through a unified MCP interface with built-in security features.

Enables RAG (Retrieval-Augmented Generation) with tools for vector search, document access, and OpenAI integration, plus MySQL storage and file system operations via MCP.

Enables Claude to perform file operations, retrieve system information, run calculations, and generate timestamps on the local system.

Exposes system tools (disk usage, file listing) and weather information via Open-Meteo to MCP-compatible LLMs.

Enables users to ask natural-language questions about a local folder's contents, including file names, sizes, and timestamps, with rollups by type and age and cleanup suggestions for stale or large files. It returns metadata only and cannot read, move, or delete files.