"Learning about PHP programming language" matching MCP servers:

A task manager MCP server that demonstrates core MCP concepts (resources, tools, prompts, stdio) and syncs data with a Next.js web app.

Enables natural language time tracking and reporting for Harvest, including automatic leave requests, project/task matching, and date parsing.

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.

MCP server integrating OBSS Timepiece Time in Status for Jira, enabling queries about issue durations, status histories, and aggregated metrics via natural language.

MCP server for the AIMFP paradigm, enabling AI assistants to manage functional programming projects with persistent database state, directive compliance, and task tracking via JSON-RPC tools.

Integrates Rize.io's time tracking and productivity analytics with AI assistants via the Model Context Protocol, enabling natural language queries about productivity metrics, focus sessions, and project management.

Read-only MCP bridge connecting Claude Desktop to Merlin Project on Mac, allowing natural-language queries about plans, activities, resources, and project data.

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 AI assistants to securely connect to OpenProject workspaces and browse, query, and reason about projects, work packages, saved queries, and related metadata via the OpenProject REST API v3.

A Model Context Protocol server that enables seamless interaction between MCP clients (like Claude Desktop) and CODESYS V3 programming environments, allowing automation of project management, POU creation, code editing, and compilation tasks.

A zero-dependency MCP server that answers common questions about Jira work, such as what is assigned to me, standup status, sprint health, and more, without returning raw issue JSON.

Transforms Claude into an autonomous development team with architect, agent, and QA roles, enabling automated sprint execution, task management, and continuous learning.

Connects Canvas LMS to Claude Desktop, enabling natural-language queries about courses, assignments, grades, and more.

An intelligent task management system that provides structured workflows for AI Agents to plan, decompose, and execute complex programming tasks. It features a dedicated research mode for technical investigations and a task memory function to optimize workflows and avoid redundant coding work.

A Model Context Protocol server that enables Language Learning Models to interact with FogBugz, allowing operations like creating and updating issues, assigning cases, listing open cases, and searching through natural language.

Enables hands-on learning of Model Context Protocol through a task-board server that exposes tools, resources, and prompts over stdio, plus a terminal host that connects to local Ollama models.

A simple MCP server for managing a todo list — add tasks, list tasks, and mark tasks complete. Built with the Python MCP SDK (FastMCP) as a hands-on learning project.

Captures comprehensive context about development issues and facilitates human assistance through structured API-based help requests.

Access your notes, tasks, and learning plans from Noteshell through this MCP server. Provides 43 pure-data tools for notes, projects, secretary, context, calendar, and search.

Enables LLMs to interact with the Pipefy GraphQL API to manage pipes, cards, database tables, and records through natural language. It provides tools for searching, creating, and retrieving detailed information about Pipefy workflows and database entities.