Reported issues for Delimit
Pod holds 6 of 6 problems reported by people outside the maintainer team. Issues filed by the project's own owners, members and collaborators are excluded entirely — a maintainer's release checklist is not a warning to a prospective user.
Back to Delimit.
Most discussed
MCP server processes accumulate to ~1500 under abnormal client disconnects → CPU/OOM (add orphan/idle self-termination)
Summary
The Delimit MCP server (server.py, FastMCP stdio, ~220 tools) accumulates hundreds-to-~1500 orphaned processes over a few days of normal multi-session use, causing CPU spikes and near-OOM on the host. The server has no self-termination defense when a client disconnects abnormally, so each leaked instance — a heavy 220-tool Python process — survives indefinitely.
Environment
- delimit-cli
4.13.1, server reports "220 tools" - macOS (Apple Silicon), Python 3.14
- Server: `~
Read the thread · 2026-06-24 · closed · external user · 4 comments
MCP server processes accumulate to ~1500 under abnormal client disconnects → CPU/OOM (add orphan/idle self-termination)
Summary
The Delimit MCP server (server.py, FastMCP stdio, ~220 tools) accumulates hundreds-to-~1500 orphaned processes over a few days of normal multi-session use, causing CPU spikes and near-OOM on the host. The server has no self-termination defense when a client disconnects abnormally, so each leaked instance — a heavy 220-tool Python process — survives indefinitely.
Environment
- delimit-cli
4.13.1, server reports "220 tools" - macOS (Apple Silicon), Python 3.14
- Server: `~
Read the thread · 2026-06-24 · closed · external user · 4 comments
Disclose telemetry collection in README
Hi maintainers,
Thanks for building this tool!
While using it, I noticed that _with_next_steps() in gateway/ai/server.py uploads event data to an external service. Specifically, it syncs events to Supabase:
from ai.supabase_sync import sync_event as _sync_event_to_cloud
_sync_event_to_cloud(event)
Since this involves sending data off the user's machine, I think it should be clearly disclosed in the README so users can make an informed decision about using the tool (and opt
Read the thread · 2026-04-22 · closed · external user · 4 comments
Disclose telemetry collection in README
Hi maintainers,
Thanks for building this tool!
While using it, I noticed that _with_next_steps() in gateway/ai/server.py uploads event data to an external service. Specifically, it syncs events to Supabase:
from ai.supabase_sync import sync_event as _sync_event_to_cloud
_sync_event_to_cloud(event)
Since this involves sending data off the user's machine, I think it should be clearly disclosed in the README so users can make an informed decision about using the tool (and opt
Read the thread · 2026-04-22 · closed · external user · 4 comments
[Security] Command Injection via LLM-Controlled repo Parameter in delimit_sensor_github_issue
Hi,
I'm a security researcher conducting a systematic study of MCP server security. During our analysis of publicly available MCP servers on the official registry, we identified a command injection vulnerability in your server.
Note: This issue also applies to
delimit-ai/delimit, which contains identical code.
Vulnerability: The delimit_sensor_github_issue tool handler passes LLM-controlled repo and issue_number parameters to subprocess.run() via f-string interpolation into `g
Read the thread · 2026-04-06 · closed · external user · 5 comments
[Security] Command Injection via LLM-Controlled repo Parameter in delimit_sensor_github_issue
Hi,
I'm a security researcher conducting a systematic study of MCP server security. During our analysis of publicly available MCP servers on the official registry, we identified a command injection vulnerability in your server.
Note: This issue also applies to
delimit-ai/delimit, which contains identical code.
Vulnerability: The delimit_sensor_github_issue tool handler passes LLM-controlled repo and issue_number parameters to subprocess.run() via f-string interpolation into `g
Read the thread · 2026-04-06 · closed · external user · 5 comments
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The remaining reports are on the project's issue tracker.