Taskive
Server Details
AI-native project management plus a persistent memory & knowledge layer for agents: live tasks, sprints, AI risk scores, burnout signals, project memory, decision logs, and semantic knowledge search — 100+ tools via OAuth 2.1, free plan.
- Status
- Unhealthy
- OAuth
- Works in Glama
- Last Tested
- Transport
- Streamable HTTP
- URL
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
98 tool updates
- First observed
add_project_member - First observed
add_task_blocker - First observed
add_task_dependency - First observed
ai_health - First observed
archive_project - First observed
bulk_assign - First observed
complete_sprint - First observed
create_comment - First observed
create_epic - First observed
create_field_schema - First observed
create_project - First observed
create_sprint - First observed
create_task - First observed
create_workflow_state - First observed
create_workflow_transition - First observed
delete_comment - First observed
delete_context_entry - First observed
delete_epic - First observed
delete_field_schema - First observed
delete_org_ai_config - First observed
delete_project - First observed
delete_sprint - First observed
delete_task - First observed
delete_workflow_state - First observed
delete_workflow_transition - First observed
duplicate_task - First observed
extract_tasks - First observed
extract_tasks_upload - First observed
full_text_search - First observed
generate_dashboard - First observed
get_ai_usage_summary - First observed
get_board - First observed
get_board_summary - First observed
get_context_entry - First observed
get_epic - First observed
get_focus_mode - First observed
get_my_burnout - First observed
get_my_identity - First observed
get_org_ai_config - First observed
get_pending_labels - First observed
get_project - First observed
get_project_briefs - First observed
get_project_memory - First observed
get_project_velocity_trend - First observed
get_sprint - First observed
get_sprint_burndown - First observed
get_sprint_report - First observed
get_start_task_context - First observed
get_suggestions - First observed
get_task - First observed
get_task_risk - First observed
get_team_burnout - First observed
get_velocity_trend - First observed
list_assignable_members - First observed
list_comments - First observed
list_context_entries - First observed
list_epics - First observed
list_field_schemas - First observed
list_my_tasks - First observed
list_project_members - First observed
list_projects - First observed
list_sprints - First observed
list_task_activity - First observed
list_task_blocked_by - First observed
list_task_blockers - First observed
list_task_field_values - First observed
list_tasks - First observed
list_teams_mcp - First observed
list_workflow_states - First observed
list_workflow_transitions - First observed
log_decision - First observed
move_task - First observed
put_org_ai_config - First observed
recompute_burnout - First observed
refine_dashboard - First observed
remove_project_member - First observed
remove_task_blocker - First observed
remove_task_dependency - First observed
reorder_backlog_task - First observed
restore_project - First observed
save_session_summary - First observed
search_context - First observed
set_task_field_value - First observed
start_sprint - First observed
suggest_assignment - First observed
test_ai_connection - First observed
trigger_board_risk_score - First observed
trigger_task_risk_score - First observed
update_agile_settings - First observed
update_context_entry - First observed
update_epic - First observed
update_project_settings - First observed
update_sprint - First observed
update_task - First observed
update_task_state - First observed
update_workflow_state - First observed
update_workflow_transition - First observed
write_context
Frequently Asked Questions
Claiming proves that you control a remote MCP connector. It does not move, proxy, or interrupt the server.
Open the connector listing, choose Claim ownership, and sign in to Glama.
Complete one verification method:
GitHub identity — fastest for official registry listings. For a namespace such as
io.github.alice/server, link the matching GitHub user, then choose Claim with GitHub. An organization namespace such asio.github.acme/serveralso needs that organization to have installed the Glama AI GitHub App and approved its permissions, because GitHub discloses organization membership only to apps it has installed. Use HTTP or DNS when it has not.HTTP challenge — works when you can deploy a public file. Generate a token, publish the exact JSON Glama shows at
/.well-known/glama.jsonon the same origin as the connector, then choose Check HTTP challenge.DNS challenge — works when you control DNS but cannot change the server. Generate a token, create the exact TXT record Glama shows, wait for it to propagate, then choose Check DNS challenge.
After verification, Glama sends a confirmation email and gives you access to listing details, thumbnails, health checks, and analytics. Keep the HTTP file or DNS record in place: Glama periodically checks it and ownership remains verified while the token is discoverable.
The HTTP ownership file has this structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"claim": "glama_claim_..."
}Claim tokens are opaque, stable, and bound to the signed-in Glama account. They contain no email address or other personal information. If Glama can no longer discover a verified HTTP or DNS token, it starts a seven-day grace period before removing claim-based access. Restore the same token during that period to keep ownership verified. Never publish an email address, Glama session token, GitHub token, or connector credential as ownership proof.
If verification fails, confirm that you copied the current token exactly. The HTTP file must be public, return valid JSON with a successful HTTP response, and stay on the connector's origin. DNS changes may need more time to propagate. A claim cannot transfer to a different origin or hostname: if the connector target changes, Glama starts the grace period and the new target must be claimed separately after the previous claim is released.
For a connector linked to the official MCP Registry, registry updates continue to replace its name, description, and URL by default. After claiming, open Manage connector and enable Use Glama listing details as the source of truth if edits made on Glama should be preserved. Categories and thumbnails are always managed on Glama; registry linkage and technical connection settings continue to sync.
Control your server's listing on Glama, including description and metadata
Access analytics and receive server usage reports
Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
To improve your MCP server's ranking:
Claim ownership of the server listing
Complete the server profile with an accurate description and thumbnail
Provide a test profile so Glama can connect to and evaluate the server
Keep tool definitions clear and complete to earn a high Tool Definition Quality Score (TDQS)
Route real usage through the Glama Gateway; more recorded successful server uses also improve the ranking
For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
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Glama MCP Gateway
Add one secure layer between your agents and this server.
TDQS
Many tools target distinct resources (tasks, projects, sprints, epics, comments, workflows, context entries), so overall disambiguation is decent. However, there are a few overlapping pairs (e.g., add_task_blocker vs add_task_dependency, log_decision vs write_context) and many similar-looking AI/narrative endpoints that could confuse an agent.
The naming convention is predominantly verb_noun in snake_case (e.g., create_task, list_projects, delete_comment). There are minor deviations like get_my_burnout, get_start_task_context, and test_ai_connection, but the overall pattern is clear and predictable.
With 98 tools, the surface is extremely bloated for a project management API. Many endpoints are rarely needed (e.g., separate AI dashboard generate and refine, multiple risk scoring triggers, several context entry endpoints). This volume makes tool selection difficult and suggests poor scoping.
The server covers core project management operations (CRUD for tasks, projects, sprints, epics, comments, workflows) plus AI features and a knowledge store. However, notable gaps exist: team management is read-only (only list_teams_mcp), and admin features are sparse. The extensive AI-related tools feel over-engineered compared to the basics.