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Glama

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.

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Status
Unhealthy
Last Tested
Transport
Streamable HTTP
URL

Glama MCP Gateway

Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.

MCP client
Glama
MCP server

Full call logging

Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.

Tool access control

Enable or disable individual tools per connector, so you decide what your agents can and cannot do.

Managed credentials

Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.

Usage analytics

See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.

100% free. Your data is private.
Tool DescriptionsC

Average 3.3/5 across 93 of 98 tools scored. Lowest: 1.3/5.

Server CoherenceC
Disambiguation3/5

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.

Naming Consistency4/5

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.

Tool Count1/5

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.

Completeness3/5

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.

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