cspy-mcp
MCP Connector to use with IAR C-SPY Debugger
Install / Use
claude mcp add iarsystems -- npx -y github:iarsystems/cspy-mcpIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
Development & EngineeringSupported Platforms
Tags
Our assessment of cspy-mcp
cspy-mcp scores 76/100 on our quality scale, 3699th of 4,588 Development & Engineering skills we index.
Its MCP Server is 15 KB long, well organised into 13 sections with 7 code examples: a thorough specification that gives an agent plenty to work with.
It has 3 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated 4 days ago, so cspy-mcp is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 87/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
cspy-mcp compared with similar skills
All 4 of these similar skills score higher than cspy-mcp; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| cspy-mcp (this skill)by iarsystems | 76 | 3 | 4d ago | MCP Server |
| taste-skillby Leonxlnx | 100 | 102.1k | today | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 101.9k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 77.7k | today | CLAUDE.md |
| ai-job-searchby ai-job-search-dev | 100 | 65.0k | 4d ago | CLAUDE.md |
Frequently asked questions
- How do I install cspy-mcp?
- Run
claude mcp add iarsystems -- npx -y github:iarsystems/cspy-mcp. The install tabs above show the steps for each supported agent. - Which AI agents does cspy-mcp work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is cspy-mcp safe to use?
- It is MIT-licensed and scores 87/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is cspy-mcp still maintained?
- The repository was last updated 4 days ago, so cspy-mcp is actively maintained.
Skill content
View source on GitHubcspy-mcp: MCP server for IAR C-SPY
An MCP server, iar-cspy-mcp, that exposes
the IAR C-SPY debugger, and the Embedded Workbench project and option
services, to AI assistants (Claude Code, Claude Desktop, VS Code Copilot, ...)
as tools. It drives the backend over its Thrift interfaces, on a simulator or
real hardware.
The server is a thin layer over the iar-cspy
Python API: each tool parses its arguments, calls the API, and returns plain
JSON. For scripts and pytest hardware-in-the-loop tests, use that API
directly.
Licensed under the MIT License.
Getting started
Install the server (it brings the iar-cspy API along) and point it at your
IAR installation, the directory with common/bin under it:
pip install "iar-cspy-mcp @ git+https://github.com/iarsystems/cspy-mcp"
iar-cspy-mcp --iar-path /opt/iar/ewarm # or: python -m iar_cspy_mcp
To pin a version, add @<branch, tag or commit> after the repository URL.
Normally your MCP client starts the server for you; see below.
Add it to your MCP client
All examples use managed mode: the server starts the backend itself from an
IAR installation or build stage (the directory with common/bin under it).
Adjust the path to your machine. See Backend modes
for what managed and standalone mode do.
Claude Code: .mcp.json in your project (or ~/.claude.json), or
claude mcp add cspy-debugger -- iar-cspy-mcp --iar-path /opt/iar/ewarm:
{
"mcpServers": {
"cspy-debugger": {
"command": "iar-cspy-mcp",
"args": ["--iar-path", "/opt/iar/ewarm"]
}
}
}
Claude Desktop: the same mcpServers block in claude_desktop_config.json
(Settings > Developer > Edit Config).
VS Code Copilot: .vscode/mcp.json (or MCP: Add Server):
{
"servers": {
"cspy-debugger": {
"type": "stdio",
"command": "iar-cspy-mcp",
"args": ["--iar-path", "C:\\iar\\ewarm-9.60"]
}
}
}
If iar-cspy-mcp is not on the client's PATH, use the virtualenv's Python:
"command": "/abs/path/.venv/bin/python", "args": ["-m", "iar_cspy_mcp", ...].
From a checkout without installing, run_headless.sh <iar-path> does the same
over stdio (see Helper scripts).
An already-running backend (standalone mode): replace --iar-path with
its service registry:
"args": ["--registry-host", "127.0.0.1", "--registry-port", "51926"]
Requirements
Python 3.10+ on Linux or Windows, and either an IAR installation or an
already-running backend to connect to. The installation is the directory with
common/bin under it (for example IAR Embedded Workbench for Arm), and it
needs to ship CSpyServer2; the backend is then started for you. The project
and options tools also need IarServiceLauncher.
Backend modes
- managed (default): given an IAR installation (
--iar-pathorIAR_INSTALL_PATH), the server startsIarServiceLauncher, which owns the service registry and hosts the IDE services, and aCSpyServer2that joins that registry with-registry <port>, so theproject_*/options_*tools work alongside the debugger ones. It supervises both and restarts them when they fail. CSpyServer2 supports one debug session per process, so every session gets a fresh one. Installations without the launcher, or--no-ide-services, run CSpyServer2 alone, without the project and options tools. - standalone:
--registry-host/--registry-port(orTHRIFT_REGISTRY_PORT) connect to the registry of a backend someone else runs, such as a Thrift-enablediarideor a hand-started CSpyServer2/IarServiceLauncher. The port is that of the service registry, not of the debugger service itself. Nothing is started or stopped.
See docs/ide-services.md for the IDE services, and the backend notes for known backend behavior.
Command line
| Option | Meaning |
| --- | --- |
| --iar-path PATH | IAR installation (managed mode). Normally the only option needed. |
| --cspyserver2 PATH, --service-launcher PATH | Individual program paths, overriding --iar-path. |
| --cspyserver2-args ARGS | CSpyServer2 arguments when it runs alone (default -standalone -sockets). |
| --no-ide-services, --ide-services LIST | Host no IDE services, or only projectmanager/options. |
| --registry-host HOST, --registry-port PORT | Connect to a running backend (standalone mode). |
| --registry-service NAME | Registry name of the debugger service (default debugger). |
| --web, --web-port PORT | Serve MCP over streamable HTTP at http://127.0.0.1:8000/mcp (or PORT) instead of stdio. |
| --probe-cspyserver2 | Start the managed backend, print its registry, exit. |
Every option also has an environment variable; see
.env.example. MCP_TRANSPORT=streamable-http,
MCP_HOST and MCP_PORT select the network transport without --web;
MCP_HOST=0.0.0.0 listens on all interfaces, which exposes the debugger to
the network.
On stdio the server logs every backend RPC to stderr ([thrift] call ...),
which MCP hosts collect as server logs; stdout carries only the protocol.
Helper scripts (Linux/macOS)
Bash wrappers that run the server from a checkout without installing it. Each
takes the IAR path as its first argument or from IAR_INSTALL_PATH, and uses
.venv/bin/python3 when present.
| Script | Transport | Backend |
| --- | --- | --- |
| run_headless.sh <iar-path> | stdio | managed: IarServiceLauncher + CSpyServer2 |
| run_web.sh <iar-path> | HTTP on MCP_PORT | the same managed backend |
| run_iaride.sh <iar-path> | HTTP on MCP_PORT | standalone: starts IarIde and uses its registry |
NO_IDE_SERVICES=1 and THRIFT_IDE_SERVICES=projectmanager restrict what
the managed backend hosts. On Windows, run iar-cspy-mcp (or
python -m iar_cspy_mcp) directly; scripts/run_validation.ps1 -IarPath <path>
runs the unit and live tests.
Tools
| Area | Tools |
| --- | --- |
| Session | debugger_configure_and_start_session, debugger_configure_session, debugger_start_smp_session, debugger_stop_session, debugger_strict_cleanup, debugger_session_status, debugger_capabilities |
| Run control | debugger_go, debugger_stop, debugger_reset, debugger_step_over, debugger_wait_for_core_state, debugger_go_and_wait_for_core_state |
| Target state | debugger_eval_expression, debugger_register_snapshot, debugger_get_core_state, debugger_get_number_of_cores, debugger_get_cycle_counter, debugger_get_thread_list, debugger_get_modules, debugger_load_module, debugger_get_version, debugger_is_online |
| Breakpoints | breakpoints_set_on_source, breakpoints_set_code, breakpoints_set_data, breakpoints_set_log, breakpoints_get_modes, breakpoints_set_on_ule, breakpoints_set_on_ule_with_category, breakpoints_set_from_descriptor, breakpoints_get_all, breakpoints_get, breakpoints_enable, breakpoints_remove, breakpoints_recently_hit |
| Stack and symbols | contextmanager_get_stack, contextmanager_get_stack_depth, contextmanager_get_context_info, contextmanager_get_locals, contextmanager_get_parameters, symbols_list_visible, symbols_lookup |
| Memory and code | memory_read, memory_write_hex, disassembly_disassemble_range, sourcelookup_get_source_ranges |
| Terminal I/O | libsupport_get_output, libsupport_clear_output, libsupport_push_input, libsupport_wait_for_input_request, libsupport_request_input, libsupport_request_input_binary |
| List windows | listwindow_list_services, listwindow_get_overview, listwindow_get_rows, listwindow_sliding_navigate, listwindow_get_notifications, listwindow_trace_status, listwindow_trace_set_enabled, listwindow_trace_clear |
| Projects | project_load_workspace, project_status, project_get_files, project_build, project_get_launch_config, project_configure_and_start_debug |
| Options | options_create_session, options_get_category_tree, options_get_option_tree, options_update_state, options_commit, options_destroy_session |
| IDE services | ide_services_status, ide_services_ensure, ide_services_stop_launcher |
| Discovery | thrift_connection_info, debugger_list_methods, debugger_error_taxonomy |
| Raw RPC | debugger_call, projectmanager_call, options_call |
Each tool's description (what the MCP client shows the model) documents its
arguments. The raw RPC tools take args_json: a JSON array for positional
arguments ("[123, \"abc\"]"), an object for keyword arguments, with
structs as objects and enums by name. Headless backends may not publish
instruction trace list windows; listwindow_list_services("") shows what is
registered before you read rows.
Response envelope and errors
The lifecycle, status, wait, project and options tools return
{"ok": bool, "tool": name, "data": {...}, "error": null | {...}}. Expected
negative outcomes (a timeout, a failed build, rejected option values) are
ok: false with a machine-readable error.code (TIMEOUT, BUILD_FAILED,
OPTION_VERIFICATION_FAILED, ...) rather than a tool error.
debugger_error_taxonomy() lists the codes. When a failure looks like a
backend crash, details.backend_diagnostics carries the backend's recent
output.
Most debugger tools need a started session and refuse with an explicit message otherwise.
Playbooks
These are compact flows for tool-using agents.
Start a session: debugger_configure_and_start_session(launch_json), then
debugger_session_status(); continue when data.started is true.
launch_json is one entry of a C-SPY VS Code launch.json (a whole file with
configurations also works: the first one is used). In managed mode every
call starts from a fresh backend process. The session runs to the
configuration's stopOnSymbol; data.ranToSymbol reports whether it got there.
From an Embedded Workbench project: project_load_workspace(path), then
project_build() (a failed build is ok: false with data.output_tail),
then project_configure_and_start_debug(). No launch.json is needed.
Run and wait: debugger_go_and_wait_for_core_state(desired_state=0, timeout_ms=5000).
Core states are 0 = stopped, 1 = running, 2 = sleeping, 3 = unknown, 4 = no power.
On error.code == "TIMEOUT", retry with a longer timeout or call debugger_stop().
Breakpoints: breakpoints_set_on_source("/abs/path/main.c", 82),
breakpoints_set_code("main", mode="hardware"),
breakpoints_set_data("g_state", 3) (2/3/4 = read/write/read-write) and
breakpoints_set_log("phase_step", "phase {g_phase}") pick the breakpoint
category for the session's driver, so they also work on hardware probes;
breakpoints_get_modes() lists the driver's modes and debugger_get_log()
returns log breakpoint output. breakpoints_set_on_ule("main", 1) leaves
the category to the backend (1 = code, 2/3/4 watchpoints). ULEs are
expressions (main, func+4), addresses (0x100), or full-form source
locations ({/abs/path/file.c}.123.1); main() and file.c:123 shorthand
are backend-dependent. breakpoints_set_from_descriptor only takes
descriptors returned by breakpoints_get_all().
Probe before advanced calls: debugger_capabilities() returns the backend
mode, services, debugger methods, and any probe errors.
Recover: debugger_strict_cleanup(reset_target=true), inspect
data.errors[*].details.backend_diagnostics, then start again.
Non-intrusive attach: use a launch configuration with "request": "attach",
"attachToTarget": true, "leaveTargetRunning": true and all downloads
s
Truncated for display — read the full file on GitHub.
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From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
