"A quantitative trading system" matching MCP servers:

Enables persistent, auditable business operations state by storing knowledge, evidence, decisions, tasks, execution receipts, and review results in a local SQLite database, so different sessions can continue the same project.

Enables coding agents to query the dependency graph of a GitHub backlog, retrieve ordered ready work and prerequisite chains, atomically claim issues, and report blockers—so agents work in the correct order and safely in parallel.

Comprehensive quest orchestration system with KĀDI broker integration, multi-channel approval workflow, and Git-backed data storage.

Provides MCP access to an internal performance and consulting project collaboration system, enabling management of projects, stages, tasks, materials, evidence, approvals, and experience in a traceable chain, with Feishu for organization sync and collaboration.

A deterministic MCP server that reimplements ai-git-fish workflows (aicommit, aibranch, aipr) with Leantime integration, enabling Claude Code and Codex to perform git operations and manage tickets without an internal LLM.

Submit and inspect governed business-system actions through a BailingHub control plane, with tools for submitting, retrieving, and waiting on governed jobs.

Enables Claude to interact with System Task projects, teams, and tasks, providing daily briefs, project reports, team load, and risk identification, as well as creating and updating tasks and demands.

Exposes a Notion-synced AI OS as read-only MCP tools, enabling MCP-compatible AI clients to search the vault, fetch page contents, list projects, and check project statuses without scraping public links.

A shared coordination layer for multiple AI coding assistants, exposing a persistent task queue, per-task message threads, and progress tracking via JSON files on disk.

A persistent state machine and notification system for AI agents to manage complex, multi-step workflows via the Model Context Protocol, preventing context drift by maintaining structured checklists and sending desktop alerts.

Manages continuation notes for projects, enabling session handoff and historical browsing through a two-location storage system.

Connects Claude to Jobber to manage clients, jobs, invoices, quotes, and scheduling through natural language.

Enables multiple AI agents and humans working in the same project to share status, exchange messages, and claim files through a local collaboration board. It supports project-specific enablement, conflict-aware file claims, and shared state via SQLite.

A local-first MCP server that handles daily work tasks through your AI assistant: converts meeting notes into todos, manages todo lifecycle, tracks work hours, generates daily/weekly reports, organizes files via move-only operations, and diagnoses dev environments, all guarded by a human-maintained preview/apply safety model.

Provides a complete agency operating system with 20+ roles (strategy, creative, marketing, etc.) accessible via MCP and includes a Pixel Office visualizer for interactive simulation.

Provides API access to a locally-hosted task management system with features for creating, updating, and organizing tasks, including support for urgency levels, effort estimates, subtasks, and bi-directional sync with Obsidian markdown files.

A Model Context Protocol server that enables large language models to interact with Linear's issue tracking system, allowing management of issues, projects, teams, and other Linear resources.

About Your task manager is the best agent memory you're not using. An agent-native context layer over your existing task app.

Enables AI agents to create, manage, and search hierarchical plans with phases, tasks, and milestones through a comprehensive planning API. Supports CRUD operations, batch updates, rich context retrieval, and artifact management for structured project planning.

A task management system for LLM-based agents that stores all tasks in a single tree, available immediately after the server starts.