Skip to main content
Glama

Server Details

Per-project memory for AI agents: decisions, attempts, tasks, ranked recall. Paid per call via x402.

The last two health checks of this connector failed. If this server requires authentication, missing or expired test credentials may be the cause. A test profile lets Glama authenticate for health checks and discover tools; it is separate from your personal connections.

If you are the author, claim ownership, then add or update a test profile under Admin → Test Profile.

Status
Unhealthy
Uptime
0.0% over the last 24 hours
Last Tested
Transport
Streamable HTTP
URL
Repository
ErikKerkvliet/projectstate
GitHub Stars
0
Server Listing
projectstate
ChatGPT
–
Claude
–

TDQS

A3.7/5.0

Scored across 6 tools

Disambiguation4/5

plan_check, project_open, and project_status have clear distinct purposes: planning check, project initialization, and quick status retrieval. recall and remember are distinct (search vs store), and update is distinct. Minor potential overlap between project_open (returns brief) and recall (searches memory), but descriptions clarify usage.

Naming Consistency3/5

Naming is mixed: plan_check, project_open, project_status use snake_case with different verb-noun patterns (some prefixed with project_), while recall, remember, update are bare verbs. Still readable but lacks a consistent convention across all tools.

Tool Count5/5

Six tools are well-scoped for a project memory/state server, covering planning, opening, status, search, store, and update without redundancy.

Completeness3/5

The surface covers memory lifecycle (add, update, search, status) but lacks explicit deletion (update can delete), bulk operations, or listing all entries beyond recent. It's functional but has gaps like no dedicated list tool for all entries.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    Related MCP Connectors

    Related MCP Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Provides persistent, multi-project memory for AI agents via MCP, enabling them to store and retrieve tasks, decisions, errors, checkpoints, and documentation while keeping context isolated by project.
      2
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Gives AI assistants persistent, queryable project memory for decisions, patterns, and rules, reducing the need to re-explain context in every prompt.
      11
      Apache 2.0
    • A
      license
      B
      quality
      B
      maintenance
      Provides persistent project memory, task lists, time tracking, and shared rules and learned preferences so coding agents can recall decisions and conventions across sessions and coordinate multi-step work.
      19
      1
      MIT
    Try in Browser

    Glama MCP Gateway

    Add one secure layer between your agents and this server.