edgelens-mcp
Model Context Protocol server that exposes the EdgeLens SDK as LLM tools. Drop into Claude Desktop, Claude Code, Cursor, or any other MCP host and the LLM can allocate cameras, deploy models, run inference, and SSH the device directly.
Install
pip install edgelens-mcp
# or, with uv:
uv tool install edgelens-mcp
Adds an edgelens-mcp command to your PATH.
Claude Desktop
Add to claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/,
Windows: %APPDATA%\Claude\):
{
"mcpServers": {
"edgelens": {
"command": "edgelens-mcp",
"env": {
"EDGELENS_API_KEY": "el_test_yourkey"
}
}
}
}
Restart Claude Desktop. The hammer icon shows the EdgeLens tools.
Claude Code
Add to ~/.claude/mcp.json (or project-local .mcp.json):
{
"mcpServers": {
"edgelens": {
"command": "edgelens-mcp",
"env": {
"EDGELENS_API_KEY": "el_test_yourkey"
}
}
}
}
Cursor
Add to ~/.cursor/mcp.json:
{
"mcpServers": {
"edgelens": {
"command": "edgelens-mcp",
"env": {
"EDGELENS_API_KEY": "el_test_yourkey"
}
}
}
}
Tools
Once connected, the host gets these tools (same surface as the SDK and CLI):
Session lifecycle
| Tool | What |
|---|---|
create_session |
Allocate a camera. Defaults to recamera-2002 / stock-os / wait-for-ready. |
get_session |
Fetch current state. Defaults to current session. |
wait_session_ready |
Block until status=ready. |
release_session |
End session, return device to pool. |
list_sessions |
Sessions this server has touched (process-local). |
Every tool acts only on sessions this server process created; see Session scope.
Device ops
| Tool | What |
|---|---|
exec_command |
Run a shell command on the camera via SSH. Off by default; see Exec. |
deploy_model |
Deploy a model + optional config + extra files (local path or URL). |
get_ssh_details |
Returns user/host/port/password + a ready-to-paste ssh command. |
get_device_info |
Full device-info report. |
Display
| Tool | What |
|---|---|
display_play |
Play a video on the external display. |
display_show |
Show a still image. |
display_stop |
Stop playback. |
display_status |
Current display state. |
Inference (stock OS)
| Tool | What |
|---|---|
inference_start / inference_stop |
Start/stop the inference loop. |
inference_once |
Run one frame, return detections. |
inference_stats |
Point-in-time snapshot (fps, latency). |
inference_run |
Aggregate stats over a duration. |
Current-session pattern
After create_session, follow-up tools default to that session — you don't have
to thread the id through every call. Pass session_id explicitly only when
working with multiple concurrent sessions in one conversation.
user: "spin me up a camera"
claude: → create_session(device_type="recamera-2002", os="stock-os")
← {"id": "sess_abc", "status": "ready", "device": {...}}
user: "what's the kernel version?"
claude: → exec_command(command="uname -r")
← {"stdout": "5.10.10-edgelens", ...}
Session scope
By default every tool acts only on sessions this server process created
with create_session. A session_id it did not create is refused with an
error that names the opt-in, and the server never fetches it from the API.
Your API key may reach sessions owned by teammates on a shared account;
without this scope, a model handed or guessing such an id could release it
or run commands on its device.
To resume a session created elsewhere (another process, the CLI, a
teammate), set EDGELENS_MCP_ALLOW_EXTERNAL_SESSIONS=1 in the host's env
block. The server then fetches any id the API key can reach, and the model
can release or act on it.
Exec
exec_command is off by default. To enable it, set
EDGELENS_MCP_EXEC_ENABLED=1 in the host's env block.
Enabling exec gives the model an unrestricted shell on the device. No command is filtered: anything the device user can run, including destructive commands, will run. A pattern filter over a shell command line cannot be made complete (quoting, absolute paths, variables and encodings all get past one), so the server does not pretend to have one. Enable exec only for a session you are prepared to lose, and rely on your MCP host's per-call approval if you want a human to see each command.
Environment
| Var | Purpose |
|---|---|
EDGELENS_API_KEY |
Required. Pass via the host's env block. |
EDGELENS_BASE_URL |
Optional. Override the platform API base URL (self-hosted). |
EDGELENS_MCP_EXEC_ENABLED |
1 enables exec_command, an unrestricted shell on the device. Off by default. |
EDGELENS_MCP_ALLOW_EXTERNAL_SESSIONS |
1 lets tools act on sessions this server did not create. Off by default. |
EDGELENS_MCP_ALLOWED_UPLOAD_ROOT |
Directory deploy_model may read uploads from. Unset refuses every upload. |
EDGELENS_MCP_REVEAL_SECRETS |
1 writes the SSH password to a 0600 file and returns its path. Off by default (redacted). |
Transport
This server speaks stdio — the MCP host spawns it as a subprocess.
A hosted streamable-HTTP variant (for remote-MCP integrations like claude.ai web) is planned. Same tool code, different transport — see the roadmap.
Develop
python -m venv .venv && source .venv/bin/activate
pip install -e "../../core/python" # editable SDK core (not yet on PyPI)
pip install -e ".[dev]"
pytest
The mcp dependency is pinned <2 (2.x renamed FastMCP → MCPServer).
The tests call each tool function directly (FastMCP's @mcp.tool()
returns the function unchanged) and read tool annotations from
server.mcp._tool_manager.
If your environment can't reach PyPI, run the suite in a container:
docker run --rm -e HOME=/tmp -v "$PWD/../..:/sdk:ro" python:3.11-slim sh -c '
cd /tmp && cp -r /sdk/core/python core && cp -r /sdk/integrations/mcp mcp
rm -rf core/.venv mcp/.venv && python -m venv v && . v/bin/activate
pip install -q "mcp[cli]>=1.2,<2" pytest pytest-asyncio && pip install -q ./core ./mcp
python -m pytest mcp/tests -q'
Pairs with the Python SDK, CLI, and pytest plugin.
Metadata
Release files for edgelens-mcp 0.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| edgelens_mcp-0.2.1.tar.gz | 10.8 kB | With provenance | Details for edgelens_mcp-0.2.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| edgelens_mcp-0.2.1-py3-none-any.whl | Python 3 | none | any | Details for edgelens_mcp-0.2.1-py3-none-any.whl |
Total release size: 23.4 kB
Release files / edgelens_mcp-0.2.1.tar.gz
| Download URL | edgelens_mcp-0.2.1.tar.gz |
|---|---|
| Size | 10.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
b5ead614daeffdb07bb6fd866d0115983ab1897e2ace1d694ce2e22db0f3c178
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| Size | 12.6 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
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|
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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 29, 2026.
Transparency logSecurity for edgelens-mcp 0.2.1
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Attestation for edgelens_mcp-0.2.1.tar.gz
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Signed by GitHub Actions, verified by PyPI on Oct 29, 2026.
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