anthropics / anthropics/claude-code
[BUG] Serena MCP tools (activate_project / list_memories) extremely slow or time out
- Dominant language
- Python
- Stars
- 145k
- Forks
- 23.1k
- PR merge metrics
- PR metrics pending
Description
### Preflight Checklist
- [x] I have searched [existing issues](https://github.com/anthropics/claude-code/issues?q=is%3Aissue%20state%3Aopen%20label%3Abug) and this hasn't been reported yet
- [x] This is a single bug report (please file separate reports for different bugs)
- [x] I am using the latest version of Claude Code
### What's Wrong?
Calling the Serena MCP tools mcp__serena__activate_project and mcp__serena__list_memories in a
Claude Code session, both calls take an extremely long time. activate_project took more than
2 minutes and was automatically moved to a background task before eventually completing.
list_memories ran in the background and failed after exactly 240 seconds with:
"Tool execution timed out after 240 seconds."
### What Should Happen?
Both tools should return within a few seconds, or at least fail fast with useful progress
feedback, instead of silently hanging for minutes — especially on a directory that is not a
typical source-code project (mostly JSON/TSV/Markdown data files, no language server needed).
### Error Messages/Logs
```shell
mcp__serena__activate_project on /home/c3phur/.exegol/workspaces
-> still running after 121s, moved to background task kfb833nqp
-> eventually completed with:
Created and activated a new project with name 'workspaces' at /home/c3phur/.exegol/workspaces.
Active language servers: .
File encoding: utf-8.
Onboarding has not been performed yet.
mcp__serena__list_memories (background task kh98x9m22)
-> failed: Error executing tool list_memories: Tool execution timed out after 240 seconds.
```
### Steps to Reproduce
1. Open a Claude Code session with the Serena MCP server configured, working directory set to
a git repo that is data-heavy rather than a typical source-code project (in my case: ~90
subfolders of JSON/TSV/Markdown files tracking bug-bounty programs, no language project
structure at all).
2. Call mcp__serena__activate_project with that directory as `project`.
3. Observe the call run well past 2 minutes and get automatically moved to a background task.
4. Immediately after, call mcp__serena__list_memories.
5. Observe it fail after 240 seconds with "Tool execution timed out after 240 seconds."
### Claude Model
Sonnet (default)
### Is this a regression?
I don't know
### Last Working Version
_No response_
### Claude Code Version
2.1.276 (Claude Code)
### Platform
Anthropic API
### Operating System
Ubuntu/Debian Linux
### Terminal/Shell
Other
### Additional Information
Working directory is a bug-bounty program tracking workspace (git repo), ~90 subfolders each
holding some_useful_files.json + markdown triage reports — not a software project. This
may explain why Serena's project indexing is unusually slow here. The calls were triggered
indirectly via the SuperClaude framework's /sc:save command, which defaults to Serena MCP for
session persistence.
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by reproducing mcp__serena__activate_project and mcp__serena__list_memories in the data-heavy repository described, using the reported 121-second and 240-second behavior as reference. Trace the Serena MCP tool entry points and timeout handling; done means both tools complete within a few seconds or fail promptly with useful progress feedback.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- cli, tooling
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100