"task management" matching MCP servers:

Provides ServiceNow ITSM tools (incidents, knowledge, CMDB, user lookups) to AI agents, with an evaluation harness that measures tool-selection accuracy, task completion, and latency.

Enables MCP clients to browse a local skill library, retrieve individual skill instructions and files, route task queries via Jev, and report completion activity.

Enables coding agents to retrieve task-relevant documentation from a repository's markdown files using deterministic keyword search, chunking, and co-location expansion, instead of reading entire docs.

An MCP server that converts Cursor agent plans into structured markdown task lists and organizes them in your repository, helping you track AI-generated plans and recommendations as actionable specifications.

Tracks and manages code changes from Git repositories, generates documentation automatically, and provides AI agents with intelligent access to service documentation through MCP server integration with feature mapping and search capabilities.

A local document management agent with MCP tools for file operations, previewing, and AI-driven management, featuring safety approvals and transaction rollback.

Routes coding agents to the most relevant project documentation (decisions, intent, constraints) with provenance and freshness, providing tools for task routing, knowledge search, and document context.

Provides project-aware context for coding agents by selecting relevant AGENTS.md, docs, module paths, and decision records based on task, reducing redundant context loading via MCP stdio.

Serves project docs, per-branch task plans, skills, and templates as markdown to AI coding agents via MCP, with a web console for browsing and editing content.

Local RAG MCP server for documentation that indexes markdown repos (local paths or git URLs) and provides retrieval-only tools (ask_docs, list_docs, reindex) returning grounded passages and citations for the MCP host to synthesize answers.

Enables MCP-capable agents to retrieve live, task-scoped context from a curated ontology, providing relevant direction, decisions, and constraints for a given task.

A Model Context Protocol implementation that enables AI-powered access to documentation resources, featuring URI-based navigation, template matching, and structured documentation management.

Enables local MCP clients to interact with an AuroraCloud workspace, supporting object listing, content reading, search, and task management through authenticated API calls.

Enables MCP-compatible agents to retrieve Chinese expert documents, prompt examples, and task skeletons before writing Chinese prompts.

Enables querying a style contract, resolving applicable rules for a given task/evidence/consequence, and inspecting recorded sample cases through MCP tools.

Provides configuration examples and management for MCP servers supporting stdio, SSE, and streamable HTTP transport modes.

This MCP server enables Claude AI to read and edit documents through natural language, leveraging tools, resources, and prompts for document management in a Ruby-based CLI application.

Provides tools to authenticate, search, and manage sessions within WingArc's iA Document Management System. It enables users to perform free word document searches and manage security tokens through the Model Context Protocol.

Enables automatic creation and management of weekly work reports in Korean through structured templates. Organizes work tasks and issues with automatic file management, backup/rollback, and 100% template compliance through JSON Schema validation.

Enables Claude AI to perform comprehensive file operations including reading, writing, notes management, PDF processing, and image handling with thread-safe operations. Provides a complete file management system with enhanced features like document processing and automatic directory creation.