mcp-ros2-logs
Enables AI agents to analyze ROS2 log files across multiple nodes by merging them into a unified timeline and providing smart query tools, without requiring ROS2 installation.
README
mcp-ros2-logs
An MCP server that gives AI agents the ability to analyze ROS2 log files across multiple nodes. It solves the core pain point of ROS2's fragmented logging — where each node writes to its own separate file — by merging them into a unified timeline and exposing smart query tools.
No ROS2 installation required. It just reads log files from disk.
Install
pipx install mcp-ros2-logs
Or with pip (in a virtual environment):
pip install mcp-ros2-logs
Or from source:
git clone https://github.com/spanchal001/mcp-ros2-logs.git
cd mcp-ros2-logs
pdm install
Setup
Claude Code
claude mcp add --scope user ros2-logs -- mcp-ros2-logs
This makes the server available in all Claude Code sessions. For project-scoped setup (current directory only), omit --scope user.
To set a custom log directory (and optionally a default result limit):
claude mcp add --scope user ros2-logs -e MCP_ROS2_LOGS_DIR=/path/to/logs -e MCP_ROS2_LOGS_MAX_RESULTS=50 -- mcp-ros2-logs
Claude Desktop
Add to ~/.config/Claude/claude_desktop_config.json (Linux) or ~/Library/Application Support/Claude/claude_desktop_config.json (macOS):
{
"mcpServers": {
"ros2-logs": {
"command": "mcp-ros2-logs",
"env": {
"MCP_ROS2_LOGS_DIR": "/path/to/your/ros2/logs",
"MCP_ROS2_LOGS_MAX_RESULTS": "100"
}
}
}
}
VS Code (GitHub Copilot)
Add to .vscode/mcp.json in your workspace:
{
"servers": {
"ros2-logs": {
"command": "mcp-ros2-logs",
"env": {
"MCP_ROS2_LOGS_DIR": "/path/to/your/ros2/logs",
"MCP_ROS2_LOGS_MAX_RESULTS": "100"
}
}
}
}
Then use Copilot in agent mode (@workspace) to query your logs.
Cursor
Open Settings > MCP Servers > Add Server and configure:
{
"ros2-logs": {
"command": "mcp-ros2-logs",
"env": {
"MCP_ROS2_LOGS_DIR": "/path/to/your/ros2/logs",
"MCP_ROS2_LOGS_MAX_RESULTS": "100"
}
}
}
Tools
list_runs
Discover available log runs in the log directory.
"list my ROS2 log runs"
"list runs in /tmp/robot_logs"
load_run
Parse all log files in a run into a merged, sorted timeline.
"load the latest run"
"load bad_run from /tmp/robot_logs"
query_logs
Search and filter the merged timeline. Supports severity, node, time range, text, and context window filters.
"show me all errors and fatals"
"find messages containing 'timeout' from sensor_driver"
"show errors with 5 messages of context around each match"
"show warnings in the last 30 seconds of the run"
get_node_summary
Detailed analysis of a specific node: uptime, severity counts, recurring message patterns, unique errors, stack traces, and message rate.
"summarize the sensor_driver node"
"what errors did motion_planner have?"
get_timeline
Condensed narrative of a run. Groups consecutive messages, highlights severity transitions (INFO -> ERROR), and flags gaps where nodes went silent.
"show me a timeline of the run"
"what's the timeline for the last 10 seconds?"
compare_runs
Diff two runs to find what changed. Shows new/missing nodes, severity distribution changes, novel error messages, first divergence point, and timing differences.
"compare good_run vs bad_run"
"what's different between yesterday's run and today's?"
detect_anomalies
Statistically flags unusual patterns using the first portion of a run as a baseline. Detects rate spikes, new error patterns, severity escalations, silence gaps, and error bursts.
"detect anomalies in bad_run"
"find anomalies with severity score above 0.5"
list_bag_topics
List topics in a ROS2 bag file (.db3/.mcap) with message types and counts. No ROS2 installation or message deserialization needed.
"list bag topics in my_recording"
query_bag_messages
Query bag messages filtered by topic and time range. Shows timestamps, topic names, message types, and sizes.
"show messages from /scan topic in my_recording"
"query bag messages from the last 10 seconds"
correlate
Cross-reference log entries with bag topic messages within a time window. Shows what was happening on ROS2 topics around errors. Can correlate logs from one run with a bag from a different run.
"correlate errors in bad_run with bag from bag_recording"
"correlate errors with bag topics, 500ms window"
tail_logs
Tail a log run for new entries since the last check. First call loads the run, subsequent calls return only new entries. Useful for monitoring an active ROS2 system.
"tail my_live_run"
"check for new log entries"
MCP Resources
The server also exposes log data as browsable MCP resources:
| URI | Description |
|---|---|
runs://list |
List of available runs |
runs://{run_id}/summary |
Run overview (nodes, severity counts, time range) |
runs://{run_id}/nodes/{node}/summary |
Per-node detailed summary |
runs://{run_id}/timeline |
Condensed narrative timeline |
runs://{run_id}/errors |
All ERROR/FATAL entries |
Log Path Resolution
The server resolves the log directory using this priority chain:
log_dirparameter on the tool callMCP_ROS2_LOGS_DIRenv varROS_LOG_DIRenv var$ROS_HOME/log/~/.ros/log/
It auto-detects whether a path is a single log file, a run directory (contains .log files), a bag directory (contains metadata.yaml), or a log root (contains run subdirectories).
Pagination
All list-returning tools support limit and offset parameters for paginating results. When results are truncated, the output includes a notice with the next offset value. The only exceptions are load_run and compare_runs, which return fixed-structure summaries.
The default limit is controlled by the MCP_ROS2_LOGS_MAX_RESULTS environment variable (default: 100). query_logs and query_bag_messages keep their own default of 50.
# Set a global default limit
claude mcp add --scope user ros2-logs -e MCP_ROS2_LOGS_MAX_RESULTS=50 -e MCP_ROS2_LOGS_DIR=/path/to/logs -- mcp-ros2-logs
Log Format
Parses the standard ROS2 spdlog default format:
[SEVERITY] [EPOCH.NANOSECONDS] [node_name]: message
Example:
[INFO] [1713099970.190824925] [talker_node]: Publishing: Hello World 1
[WARN] [1713099975.443210100] [motion_planner]: Planning timeout after 500ms
[ERROR] [1713099975.501332000] [collision_checker]: No valid trajectory found
Multi-line messages (stack traces) are handled automatically.
Custom Log Formats
If your ROS2 nodes use a custom RCUTILS_CONSOLE_OUTPUT_FORMAT, pass it as an environment variable when registering the MCP server:
claude mcp add --scope user ros2-logs \
-e RCUTILS_CONSOLE_OUTPUT_FORMAT="{severity} {time} {name}: {message}" \
-- mcp-ros2-logs
Or for Claude Desktop, add it to the env block:
{
"mcpServers": {
"ros2-logs": {
"command": "mcp-ros2-logs",
"env": {
"RCUTILS_CONSOLE_OUTPUT_FORMAT": "{severity} {time} {name}: {message}"
}
}
}
}
Supported placeholders: {severity}, {time}, {name}, {message}, {function_name}, {file_name}, {line_number}.
When {name} is absent from the format, the node name is inferred from the log filename. When {time} is absent, entries are ordered by their position in the file.
Development
git clone https://github.com/spanchal001/mcp-ros2-logs.git
cd mcp-ros2-logs
pdm install
pdm run pytest
pdm run ruff check src/ tests/
License
MIT
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