"The role of planning in project development" matching MCP servers:

MCP server that enables LLMs to read and analyze Microsoft Project schedules, including critical path, resources, and advanced construction planning layers (AWP and LPS) for work packages and Lean planning.

A stateful MCP server that remembers what your AI agent has already seen.

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.

Enables MCP clients to read bounded workspace files, validate exact replacement plans for the VS Code extension, and check recent typing progress without modifying source or running shell commands.

Enables MCP clients to execute commands, edit files, run Git workflows, and perform validated independent reviews in real development environments through Docker-based runtimes with separated developer and auditor permissions.

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.

An MCP server that provides access to project files and their contents, allowing users to retrieve file data from specified project directories with error handling and configuration options.

MCP server for pre-print QA of Bambu Studio projects, providing tools to inspect models and 3MF files, validate risky settings, create support variants, and open files in Bambu Studio.

Enables Codex or any local MCP client to read and edit Project Graph .prg files using the official runtime, with tools for inspecting, creating, editing, connecting, deleting, and laying out graph nodes.

Enables rapid creation of new projects from predefined templates including React, Node.js, Django, Flask, and more. Provides comprehensive project scaffolding with file system operations, template management, and command execution capabilities.

A read-only MCP server that lets Claude read and search source code from local project folders, with path containment security.

Provides unrestricted access to your development environment with filesystem operations and shell command execution capabilities, including sudo support for local development machines.

MCP server that scans workspace roots to build a registry of version-controlled projects, exposing tools for searching, listing, and inspecting projects to help AI coding agents navigate multi-repo workspaces efficiently.

Enables secure, read-only access to local project files (including text, DOCX, PDF, and XLSX) through MCP, with strict directory whitelisting and no write, edit, or command-execution tools.

Enables ChatGPT to inspect a selected local project on demand, retrieving project overviews, code search results, file excerpts, and Git context without pasting entire repositories into the conversation.

MCP server that prepares Proof of Invention (POI) transaction requests for submission

Enables AI assistants to safely read and search project files within a configured root directory, supporting regex search, file listing, line-range reading, and symbol usage lookup.

A personal MCP server for managing a folder of markdown notes. It provides tools to search and list notes, resources to access individual notes, and a prompt for weekly summaries.

Enables AI agents to autonomously navigate a codebase by listing directories, reading files, searching code, and running whitelisted commands.

A local MCP server for Claude Desktop with persistent task management, file operations, document generation, and PDF indexing.

Enables Claude Web to securely inspect, search, and modify local project files through a sandboxed MCP server with atomic writes, path traversal protection, and sensitive file blocking.

Enables incremental editing of saved Kdenlive projects by preserving the original XML and patching selected timeline entries rather than regenerating the file. Supports cutting and splitting clips, clip volume and fades, PCM16 WAV import, and audio insertion or replacement, with revision-checked, atomic edits and Save As to a new copy.

This MCP server integrates with Azure AI Foundry's Claude deployment to provide document management functionality. It enables tools for reading, writing, and listing files, allowing Claude to interact with local documents through an Azure-compatible client.

A tutorial MCP server for learning the Model Context Protocol by building file and system tools. Provides hands-on experience creating custom tools that enable AI models to interact with files and execute system commands.

Enables agents to compress JPEG, PNG, and WebP images to a target byte size, split PDFs by page or ranges, and remove image metadata while processing local files without sending file bytes over the network.

MCP server for sandboxed, read-only SQL queries on CSV/Parquet/JSON files via DuckDB, limited to a specified directory.

Enables an AI agent to inspect and safely edit local .ics calendar files, query agendas, find free/busy slots, detect overlaps, and handle time zones, DST, and recurrence rules.

Enables AI agents to inspect and safely edit Excel workbooks by distinguishing formulas from cached values, previewing changes with dry runs, detecting what a save would lose, and refusing unsafe writes.

Enables an AI agent to run read-only SQL over local CSV, Parquet, and JSON files through MCP tools, with directory sandboxing, statement gating, timeouts, and query timeouts that keep access confined to permitted folders. Results are shaped for small context windows with row caps, truncation notices, and markdown/CSV/JSON output.

Enables an AI agent to inspect images, resize and compress them to size budgets, strip EXIF/GPS metadata, generate thumbnails, and safely batch-process files inside a directory sandbox.