taskflow-mcp
TaskFlow MCP is a Model Context Protocol (MCP) server that helps an AI assistant plan and execute task workflows. It creates requests with tasks/subtasks (including dependencies and notes), persists them to disk (JSON/YAML), enforces an approval-centric workflow, supports exporting status reports, and includes an archive system for completed requests.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Security posture is primarily local-file based with no documented authentication or authorization. Risk mainly comes from file path manipulation and lack of isolation: the MCP server persists to disk at user-supplied paths. TLS, secret management practices beyond general Node conventions, and dependency vulnerability management are not documented in the provided materials.
⚡ Reliability
Best When
You want a local or per-project MCP tool that persistently manages task plans and guides an assistant through a structured task/approval loop.
Avoid When
You need strong server-side access control, multi-tenant isolation, or guaranteed concurrency safety across many simultaneous users/processes.
Use Cases
- • Plan multi-step work into tasks and subtasks for AI-assisted execution
- • Track progress across tasks/subtasks and persist state across sessions
- • Manage task dependencies and add contextual notes
- • Export task plans/status to Markdown/JSON/HTML for reporting
- • Archive completed requests and later restore them
- • Apply consistent LLM guidance via configurable global prompts/prefix/suffix
Not For
- • Use as a secure multi-user task service without isolation (it is file-based per working directory/path)
- • Workflows requiring a remote API with fine-grained authorization/auditing
- • High-scale concurrent task editing without collision/locking considerations
Interface
Authentication
The README describes configuration via environment variables and local file paths; no user authentication/authorization model is documented for the MCP server.
Pricing
Open-source npm package; no usage-based pricing described.
Agent Metadata
Known Gotchas
- ⚠ Because persistence is file-based (tasks.yaml/tasks-archive.*), multiple concurrent MCP clients pointing at the same file/path may overwrite each other.
- ⚠ Approval-oriented workflow implies the assistant should pause for user confirmation; if the client ignores this, tasks may be marked done prematurely.
- ⚠ Export operations write to an outputPath; ensure outputPath permissions/paths are correct to avoid failures.
- ⚠ Delete/update operations may permanently remove data from the active request; be sure to understand when archiving is required.
Alternatives
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Scores are editorial opinions as of 2026-03-30.