"Reading Local Project Files to Assist Development" matching MCP servers:

Enables AI assistants to access and inspect local files within a specified sandbox root.

Enables local EPUB reading with AI agents, supporting annotations, parallel editions, and MCP tools.

A 4-stage reading companion that helps users set reading goals, discover books, track progress, and deepen learning through reflection, integrated with Claude Desktop.

Gives AI assistants read access to SDLC project artifacts stored in Supabase, enabling natural language queries about projects, artifacts, screens, and tech stacks, with optional IT cost estimation via Vertex AI Gemini.

Generates test files locally (images, PDFs, CSVs, corrupted files, etc.) from natural language prompts, with configurable sizes and safety limits.

A local vector database system that provides LLM coding agents with fast, efficient semantic search capabilities for software projects via the Message Control Protocol.

Enables AI agents to search and query the public DOJ Epstein Files release across 20 databases, resolve EFTA numbers to official DOJ PDFs, and cross-check viral claims against a fact-checked registry.

Enables document conversion between PDF, DOCX, and Markdown formats to facilitate reading and editing complex files in AI tools like Claude Desktop or Cursor. It utilizes marker-pdf and pandoc to provide structured text versions of documents, helping to manage context and support unsupported file types.

Delegates mechanical text-to-text tasks to a local LLM to save Claude subscription quota, reading files server-side so large content never enters Claude's context.

Project Memory stores decisions, evidence, outcomes and reviewed lessons in local SQLite. Assistants retrieve bounded context through three MCP tools. People follow and plan work in a live workspace with an overview, sprint board, decision history, readable documents, skills and project maps. Offline exports remain available.

An MCP server that enables AI assistants to manage HR operations like employee onboarding, leave requests, meeting scheduling, and equipment tickets through natural language.

Enables AI assistants to discover, retrieve, and compare official international development indicators from sources such as the World Bank, FAOSTAT, WHO, UNICEF, and IMF, while preserving source identifiers, units, and citations.

Enables exporting Apple Safari Reading List entries to JSON and adding new items via MCP on macOS.

Local workspace memory for Claude Desktop. Indexes documents into a vector store with hybrid search, cross-session memory, auto-learn, and knowledge graph.

A FastMCP server that exposes predefined artifacts as Resources and project lifecycle operations as Tools for creating, updating, deploying, debugging, testing, monitoring, and configuring projects with minimal token usage.

Provides a minimal MCP server with safe tools for AI assistants to search project files, read files, search local documentation, and run pre-approved checks within a single project directory.

Provides a comprehensive suite of utility tools for string manipulation, mathematical calculations, and array processing via the Power Assist API. It enables complex data transformations and validations including regex operations, statistical analysis, and collection management.

Agentic HR assistant providing employee, leave, meeting, ticket, and email tools over the Model Context Protocol, designed to automate onboarding workflows via an MCP client such as Claude Desktop.

Enables Claude Desktop to autonomously perform HR operations such as employee onboarding, leave management, meeting scheduling, ticket creation, and email notifications through MCP tool calling.

Enables Claude Desktop to carry out HR workflows through MCP tools, including adding and retrieving employees, managing leave, sending emails, scheduling meetings, creating HR/IT tickets, and running end-to-end employee onboarding.