mcp-timeout-demo
An MCP server that provides a long-running tool with configurable timeouts and periodic progress notifications, preventing Claude Code from disconnecting during healthy long tasks.
README
mcp-timeout-demo
A Claude Code MCP server that exposes a long-running tool with per-tool configurable timeouts and periodic progress notifications, so Claude Code never severs the request mid-flight.
If you have ever seen Claude Code kill an MCP tool call that was otherwise healthy — because it went silent for longer than the client's default idle window — this plugin shows the smallest possible fix and ships it as a drop-in server you can install today.
Companion article: https://claudeplugins.nicedx.com/claude-code-mcp-tool-timeout-configurable-long-running/
What you get
- One MCP tool,
long_running_task, with atimeout_msparameter validated against[1, 600_000]ms. - Cooperative cancellation via
asyncio.wait_for— a genuinely stuck call fails at the ceiling, it does not hang forever. - Progress notifications every 250 ms via
ctx.report_progress— the Claude Code client's idle timer never fires while the tool is actually working. - Per-tool timeout defaults from an env var or a JSON config file, with env vars winning over the file.
- A ready-to-copy
.mcp.jsonsnippet atexamples/claude_code.mcp.json. - A Claude Code plugin manifest at
.claude-plugin/plugin.jsonso the same server can install via a plugin marketplace.
Install
The server ships as a standard Python distribution. Three install paths, in order of preference:
1. uv run (recommended, zero pre-install)
uv bootstraps a venv on the fly, so nothing has to be pre-installed
globally. Drop this into your project's .mcp.json:
{
"mcpServers": {
"mcp-timeout-demo": {
"command": "uv",
"args": ["run", "mcp-timeout-demo"],
"env": {
"MCP_TIMEOUT_DEMO_TIMEOUT_MS__LONG_RUNNING_TASK": "60000"
}
}
}
}
Then restart Claude Code in that project. That is it.
2. pip install + console script
pip install mcp-timeout-demo
Register with Claude Code:
claude mcp add mcp-timeout-demo \
--env MCP_TIMEOUT_DEMO_TIMEOUT_MS__LONG_RUNNING_TASK=60000 \
-- mcp-timeout-demo
3. From source
git clone https://github.com/vytharion/claude-code-mcp-tool-timeout-configurable-long-running.git
cd claude-code-mcp-tool-timeout-configurable-long-running
uv sync
uv run mcp-timeout-demo
4. As a Claude Code plugin
The repository ships a .claude-plugin/plugin.json manifest, so the
server can also be published as a plugin through a Claude Code plugin
marketplace. The .claude-plugin/marketplace.json in this repo is the
minimal example marketplace entry — point your marketplace tooling at
the repository URL and Claude Code will read both files.
Configure
The tool has one default: DEFAULT_TIMEOUT_MS = 5_000. Two mechanisms
override that default, in this precedence (most-specific wins):
Environment variable
MCP_TIMEOUT_DEMO_TIMEOUT_MS__<TOOL_NAME_UPPER>
Example — raise the ceiling for long_running_task to 60 seconds:
export MCP_TIMEOUT_DEMO_TIMEOUT_MS__LONG_RUNNING_TASK=60000
JSON config file
Set MCP_TIMEOUT_DEMO_CONFIG to point at a JSON file with this shape:
{
"tools": {
"long_running_task": {
"timeout_ms": 60000
}
}
}
Then:
export MCP_TIMEOUT_DEMO_CONFIG=/path/to/mcp-timeouts.json
Per-call override
Clients can still pass timeout_ms on the individual call_tool
request. That per-call value always wins over the default — the
default only sets the ceiling the schema advertises.
Verify
Once the server is registered, ask Claude Code to call the tool:
"Call
long_running_taskwith label 'demo',timeout_ms=3000, andwork_duration_ms=1500."
You should see the tool return:
done:demo:worked=1500ms:timeout=3000ms
To see the timeout path fire, ask for work that exceeds the deadline:
"Call
long_running_taskwith label 'over',timeout_ms=200, andwork_duration_ms=5000."
The tool returns cleanly with:
timeout:over:after=200ms
The client will also receive periodic progress notifications during either call.
Troubleshooting
"Claude Code still says the tool timed out"
That is the client-side MCP timeout, not the tool's timeout_ms.
This plugin only fixes the server-side idle-timer story via progress
notifications. If Claude Code itself has a hard per-call ceiling, this
plugin cannot reach past it — file a follow-up config with the client.
"The env var is not being picked up"
The env-var key encodes the tool name in upper case with underscores
preserved. long_running_task becomes
MCP_TIMEOUT_DEMO_TIMEOUT_MS__LONG_RUNNING_TASK (note the double
underscore between prefix and tool name). Print env_key_for(tool_name)
from the mcp_timeout_demo.config module if you are unsure.
"The tool default advertised in tools/list is wrong"
The advertised default is captured at server startup. If you change
the env var or the config file, restart the MCP server (in Claude
Code: /mcp → restart the server, or just restart the client).
"I get FileNotFoundError: config file not found"
MCP_TIMEOUT_DEMO_CONFIG must point at an existing file; a missing
path is treated as operator error, not silently ignored. Check the
path and the process's working directory.
"I get ValueError: timeout ... outside [1, 600000]"
Timeout values are clamped to [1, 600_000] ms (10 minutes). A
malformed override fails loudly at startup rather than silently
degrading — fix the value in your env or config file.
Upgrade notes
- Semantic Versioning applies. Minor releases may add tools or config keys; patch releases are strictly bug fixes.
- The env-var prefix (
MCP_TIMEOUT_DEMO_) and key template (MCP_TIMEOUT_DEMO_TIMEOUT_MS__<TOOL_NAME_UPPER>) are part of the public API. They will not change inside a major version. - The JSON config file schema (
tools.<name>.timeout_ms) is also part of the public API for the current major.
See CHANGELOG.md for the full release history.
Development
uv sync
uv run pytest -v
The suite drives the server through the SDK's in-memory transport, so no subprocess or stdio hand-off is required to run it.
License
MIT — see LICENSE.
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