AI-native project management + agent memory: tasks, sprints, risk, burnout, knowledge search.
Web & Searchv1.0.0streamable-httpmcp.taskive.ai
| Criterion | Points | Observed |
|---|---|---|
| reachability | 25 / 25 | HTTP 200, initialize accepted in 272ms |
| protocol | 15 / 15 | valid JSON-RPC initialize result, protocolVersion 2025-06-18, serverInfo Taskive MCP@Query and manage tasks, projects, teams, and boards in Taskive via MCP. Authentication: OAuth 2.1 (claude.ai / ChatGPT connectors — automatic via discovery), or include your API token (sto_...) as a Bearer token in the Authorization header. All actions are automatically scoped to your organization and respect your role-based permissions. Start every session by calling get_my_identity to resolve who you are, which org you are in, and what you are permitted to do. |
| tooling | 35 / 35 | tools/list OK: 98 tools e.g. "create_project"; 98/98 described, 98/98 fully-typed schemas, median description 1732 chars |
| latency | 10 / 10 | initialize round-trip 272ms |
| provenance | 12 / 15 | description present; no repository URL; version 1.0.0; namespace ai.taskive matches endpoint/repo |
Score 97/100 · latency 272ms · 98 tools · protocol access: open ⓘ
Security, data integrity, citation quality, and advertised claims are measured separately from protocol uptime. Missing evidence is marked unverified, never converted into a pass.
| Dimension | Metric | Status | Evidence | Source |
|---|---|---|---|---|
| citation_quality | citation_capability_advertised | unverified | Metadata/tool descriptions advertise citation or evidence capability: Cited IDs returned for attribution. No response-level citation benchmark has verified this claim yet. | live_probe |
| security | sensitive_capabilities_declared | concern | 15 discovered tool(s) advertise potentially state-changing or privileged capabilities. Tool names: delete_project, archive_project, update_workflow_state, delete_workflow_state, delete_workflow_transition, delete_field_schema, delete_task, delete_comment, delete_org_ai_config, delete_epic, delete_sprint, complete_sprint, get_sprint_report, get_start_task_context, delete_context_entry. Classification is description-based and does not prove exploitability. Observed value: delete_project, archive_project, update_workflow_state, delete_workflow_state, delete_workflow_transition, delete_field_schema, delete_task, delete_comment, delete_org_ai_config, delete_epic, delete_sprint, complete_sprint, get_sprint_report, get_start_task_context, delete_context_entry Sample: n=15 | live_probe |
| security | authentication_boundary | observed | Live protocol probe observed auth_state=open. This describes discovery/access behavior; it is not by itself a vulnerability finding. Observed value: open | live_probe |
Machine-readable receipt: /api/trust/ai.taskive/mcp.json
Claude Code:
claude mcp add --transport http mcp https://mcp.taskive.ai/mcp
Generic MCP client config:
{ "mcpServers": { "mcp": { "type": "http", "url": "https://mcp.taskive.ai/mcp" } } }
MCP Queen is a graded index, not a middleman — your agent connects directly to the server above. Check the grade and evidence first; that's the point.
Share this server: permalink https://mcpqueen.com/s/ai.taskive/mcp · referral link https://mcpqueen.com/go/ai.taskive/mcp (counts as “routed via the queen”).
Live operational-grade badge, re-probed continuously — not a security or data-quality certification. Put it in your README and link to the complete receipt:
[](https://mcpqueen.com/s/ai.taskive/mcp)
Think the grade is wrong? Fix the finding the evidence shows, then the next probe cycle picks it up automatically (full cycle ≈ 3 days) — or open a dispute via the MCP endpoint.
Email alerts when the grade changes or the endpoint stops answering. Double-opt-in, one-click unwatch, free while in beta.
| When (UTC) | Grade | Score | Latency |
|---|---|---|---|
| 2026-07-19 18:32 | A | 97 | 272ms |