Linux MCP Server

Linux MCP Server

Exposes full Linux system control to AI clients via MCP tools for bash execution, file operations, and search, with configurable permissions and audit logging.

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Linux MCP Server

CI Coverage Branch Coverage Mutation Score Python 3.11+ License

A Python MCP server that exposes full Linux system control to AI clients (Claude Desktop, Claude Code, Cursor, Gemini CLI, etc.) over Streamable HTTP.

Features

  • 9 MCP tools: bash_execute, read_file, write_file, edit_file, glob, grep, prepare_upload, prepare_download, server_overview (optional, requires the recorder module)
  • Binary / large file transfer: bypass HTTP endpoints (PUT/GET /files/raw/{ticket}) for streaming uploads and downloads — file bytes never enter the LLM context window
  • Per-token permissions: read-only (ro) or read-write (rw) roles
  • Audit logging: JSON Lines audit trail with error details for all tool invocations
  • Application logging: errors and warnings output to stderr (captured by journald)
  • Protected paths: MCP's own files are protected from tool access
  • Multi-user auth: Bearer token authentication with per-token management
  • Admin API: create/revoke tokens without restarting the server
  • Streamable HTTP transport: stateless mode, each request is independent (no session issues on reconnect)

Requirements

  • Python 3.11+
  • ripgrep (rg) — optional but recommended for faster grep tool (falls back to Python regex)

Install

Requires Python 3.11+ on Linux.

pipx install algony-mymcp

The PyPI distribution name is algony-mymcp (the bare name mymcp is reserved on PyPI). After install the command and the Python import path are still plain mymcp.

Plain pip works too (a venv is recommended):

python3 -m venv ~/.local/share/mymcp-env
~/.local/share/mymcp-env/bin/pip install algony-mymcp
ln -s ~/.local/share/mymcp-env/bin/mymcp ~/.local/bin/mymcp

Quick try (foreground, no system service)

mymcp serve

mymcp prints a temporary admin and rw token to stderr, listens on 0.0.0.0:8765 by default, and discards both tokens on exit.

Production install (systemd)

sudo mymcp install-service --yes
sudo systemctl start mymcp

This writes /etc/mymcp/.env, generates an admin token (printed once), optionally generates a metrics token, installs /etc/systemd/system/mymcp.service, sets up logrotate for /var/log/mymcp/audit.log, and (by default) installs ripgrep for fast file search.

Useful flags: --port 9000, --bind 127.0.0.1, --config-dir, --log-dir, --service-user mymcp (run as a restricted user), --no-metrics, --no-audit, --skip-ripgrep.

Upgrade

pipx upgrade algony-mymcp
sudo systemctl restart mymcp

Air-gapped install

Each GitHub Release ships a mymcp-X.Y.Z-offline-bundle.tar.gz containing all wheels and ripgrep binaries:

tar xzf mymcp-2.0.0-offline-bundle.tar.gz
cd mymcp-2.0.0-offline-bundle
sudo ./install-offline.sh
sudo mymcp install-service --yes

Optional: server overview recorder

pip install algony-mymcp[recorder-anthropic] (or recorder-openai, or recorder for both) adds an asyncio module that maintains a self-updating server overview document via LLM. Disabled by default; enable with MYMCP_RECORDER_ENABLED=true. See docs/superpowers/specs/2026-05-29-llm-recorder-design.md for full details.

CLI Reference

Top-level commands

Command Purpose
mymcp serve Run the MCP server in the foreground
mymcp version Print the installed version
mymcp install-service Install the systemd service and config files
mymcp uninstall-service Remove the systemd service
mymcp token ... Manage tokens in the local token store
mymcp doctor Print environment and dependency diagnostics

mymcp serve

mymcp serve --help

Important flags:

Flag Description
--env-file PATH Load settings from a specific env file
--host HOST Override bind host
--port PORT Override bind port
--log-level {DEBUG,INFO,WARNING,ERROR,CRITICAL} Set application log level
--log-format {text,json} Use text or JSON stderr logs
--with-metrics-token In temporary-token mode, also generate an ephemeral metrics token

mymcp install-service

sudo mymcp install-service --help

Important flags:

Flag Description
--port PORT Listen port (default 8765)
--bind HOST Bind address (default 0.0.0.0)
--config-dir PATH Config directory (default /etc/mymcp)
--log-dir PATH Audit log directory (default /var/log/mymcp)
--service-user {root,mymcp} Run as root or a restricted mymcp user
--enable-metrics / --no-metrics Enable or disable /metrics token setup
--enable-audit / --no-audit Enable or disable audit logging setup
--install-ripgrep / --skip-ripgrep Install or skip rg for fast grep
--yes Skip interactive confirmation

mymcp uninstall-service

sudo mymcp uninstall-service --help
Flag Description
--config-dir PATH Config directory to target
--log-dir PATH Log directory to target
--purge Also delete config and log directories

mymcp token

mymcp token --help

Subcommands:

Subcommand Purpose
mymcp token list Show admin/metrics state and ro/rw tokens
mymcp token add --name NAME --role {ro,rw} Create a new token
mymcp token revoke TOKEN Delete a token
mymcp token rotate-admin Generate and persist a new admin token
mymcp token rotate-metrics Generate and persist a new metrics token
mymcp token disable-metrics Disable the /metrics endpoint

mymcp doctor

Use this when install, Python path, rg, or env-file resolution looks wrong:

mymcp doctor

Configuration

mymcp install-service writes /etc/mymcp/.env. The serve command also honors --env-file PATH, MYMCP_ENV_FILE, and (in dev) ./.env.

Core

Variable Default Description
MYMCP_ADMIN_TOKEN (required for /admin) Admin token for managing user tokens
MYMCP_METRICS_TOKEN (empty = disabled) Bearer for /metrics endpoint
MYMCP_HOST 0.0.0.0 Bind address
MYMCP_PORT 8765 Listen port
MYMCP_TOKEN_FILE /etc/mymcp/tokens.json Token store path
MYMCP_PROTECTED_PATHS (empty) Additional protected paths, comma-separated
MYMCP_SHUTDOWN_GRACE_SEC 5 Seconds to wait for in-flight bash children on SIGTERM

Audit Logging

Variable Default Description
MYMCP_AUDIT_ENABLED false Enable audit logging
MYMCP_AUDIT_LOG_DIR /var/log/mymcp Audit log directory (auto-protected)
MYMCP_AUDIT_MAX_BYTES 10485760 Max audit log file size before rotation (10MB)
MYMCP_AUDIT_BACKUP_COUNT 5 Number of rotated log files to keep

Tool Limits

All limits are configurable via environment variables. Default values work well for most use cases.

Variable Default Description
MYMCP_BASH_MAX_OUTPUT_BYTES 102400 bash stdout/stderr default cap (100KB)
MYMCP_BASH_MAX_OUTPUT_BYTES_HARD 1048576 bash output hard cap (1MB)
MYMCP_READ_FILE_DEFAULT_LIMIT 2000 read_file default lines per request
MYMCP_READ_FILE_MAX_LIMIT 50000 read_file max lines per request
MYMCP_READ_FILE_MAX_LINE_BYTES 32768 Max bytes per line before truncation (32KB)
MYMCP_WRITE_FILE_MAX_BYTES 10485760 write_file max size (10MB)
MYMCP_EDIT_STRING_MAX_BYTES 1048576 edit_file max old/new string size (1MB)
MYMCP_GLOB_MAX_RESULTS 1000 Max file paths returned by glob
MYMCP_GREP_DEFAULT_MAX_RESULTS 500 grep default max matches
MYMCP_GREP_MAX_RESULTS 5000 grep hard max matches

Recorder (optional)

These only apply when the [recorder] / [recorder-anthropic] / [recorder-openai] extra is installed.

Variable Default Description
MYMCP_RECORDER_ENABLED false Enable the background recorder task and server_overview tool
MYMCP_RECORDER_DATA_DIR /var/lib/mymcp/recorder Where overview + changelog + cursor live
MYMCP_RECORDER_MERGE_INTERVAL_SEC 300 How often the merge cycle runs
MYMCP_RECORDER_MAX_EVENTS_PER_CYCLE 50 Cap on audit events folded per cycle
MYMCP_RECORDER_BOOTSTRAP_MAX_ITERATIONS 200 Max probe iterations during initial bootstrap
MYMCP_RECORDER_BOOTSTRAP_TOKEN_BUDGET 10000000 LLM token budget for bootstrap
MYMCP_RECORDER_BOOTSTRAP_PROBE_TIMEOUT_SEC 30 Per-probe timeout during bootstrap
MYMCP_RECORDER_BOOTSTRAP_RETRY_INTERVAL_SEC 3600 Retry interval if bootstrap fails
MYMCP_RECORDER_LLM_PROVIDER anthropic anthropic or openai (OpenAI-compatible)
MYMCP_RECORDER_LLM_MODEL (provider default) Model id override
MYMCP_RECORDER_LLM_API_KEY (unset) API key for the chosen provider
MYMCP_RECORDER_LLM_BASE_URL (unset) Base URL override (e.g. DeepSeek for the OpenAI adapter)

Managing Tokens

The mymcp token subcommands operate on the local token store directly (no admin API call required). They read /etc/mymcp/.env by default; use MYMCP_ENV_FILE=... to point elsewhere.

# List all tokens (admin/metrics state + ro/rw entries)
sudo mymcp token list

# Create a read-only token
sudo mymcp token add --name my-claude-desktop --role ro

# Create a read-write token
sudo mymcp token add --name my-admin-client --role rw

# Revoke
sudo mymcp token revoke tok_abc123

# Rotate the admin or metrics token (rewrites .env)
sudo mymcp token rotate-admin
sudo mymcp token rotate-metrics

# Disable the /metrics endpoint by emptying the metrics token
sudo mymcp token disable-metrics

The HTTP /admin/* API still works for clients that need to manage tokens remotely; it requires Authorization: Bearer <MYMCP_ADMIN_TOKEN>.

HTTP Endpoints

Public / operational endpoints

Method Path Auth Purpose
GET /health none Liveness check with version
GET /version none Return just the server version
GET /metrics metrics token Prometheus metrics
POST /mcp ro/rw token Streamable HTTP MCP transport

Examples:

curl http://your-server:8765/health
curl http://your-server:8765/version
curl -H "Authorization: Bearer $MYMCP_METRICS_TOKEN" \
  http://your-server:8765/metrics

Notes:

  • /metrics returns 401 if the bearer token is wrong.
  • /metrics returns 503 if metrics support is disabled or no metrics token is configured.

Admin API

All /admin/* endpoints require:

Authorization: Bearer <MYMCP_ADMIN_TOKEN>
Method Path Body Purpose
GET /admin/tokens none List managed ro/rw tokens
POST /admin/tokens `{"name":"...", "role":"ro rw"}`
DELETE /admin/tokens/{token} none Revoke a token

Examples:

# List tokens
curl -H "Authorization: Bearer $MYMCP_ADMIN_TOKEN" \
  http://your-server:8765/admin/tokens

# Create a read-only token
curl -X POST \
  -H "Authorization: Bearer $MYMCP_ADMIN_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"name":"ci-bot","role":"ro"}' \
  http://your-server:8765/admin/tokens

# Revoke a token
curl -X DELETE \
  -H "Authorization: Bearer $MYMCP_ADMIN_TOKEN" \
  http://your-server:8765/admin/tokens/tok_abc123

Connecting Clients

Claude Desktop / Cursor

Add to MCP settings:

{
  "mcpServers": {
    "linux-server": {
      "type": "streamableHttp",
      "url": "http://your-server:8765/mcp",
      "headers": {
        "Authorization": "Bearer tok_abc123"
      }
    }
  }
}

Claude Code

claude mcp add linux-server \
  --transport streamable-http \
  --url http://your-server:8765/mcp \
  --header "Authorization: Bearer tok_abc123"

MCP Tools

Permission model

Tool Permission Summary
bash_execute rw Run a shell command in a fresh subprocess
read_file ro Read a file with line numbers and pagination
write_file rw Create or overwrite a file
edit_file rw Replace text in a file
glob ro Find paths by glob pattern
grep ro Search file contents with regex
prepare_upload rw Mint a one-time signed URL for uploading bytes to a server path
prepare_download ro Mint a one-time signed URL for downloading bytes from a server path
server_overview ro Return the maintained server overview (requires the recorder module; see below)

ro tokens can use read_file, glob, grep, prepare_download, and server_overview. rw tokens can use all nine tools.

bash_execute (rw)

Runs a shell command in a new subprocess. Commands are stateless: one call does not preserve cwd, environment changes, shell functions, or exports for the next.

Parameters:

Field Type Required Default Notes
command string yes Shell command to run
timeout integer no 30 Clamped to 1..600 seconds
working_dir string no / Command cwd
max_output_bytes integer no 102400 Per-stream cap; hard max 1048576

Returns:

  • stdout
  • stderr
  • exit_code
  • timed_out

Example:

{
  "command": "uname -a",
  "timeout": 10,
  "working_dir": "/tmp"
}

read_file (ro)

Reads a file and returns numbered lines. Large reads support pagination.

Parameters:

Field Type Required Default Notes
file_path string yes Absolute path
offset integer no 1 1-based start line
limit integer no 2000 Runtime max 50000

Returns:

  • content
  • total_lines
  • truncated

Common errors:

  • FileNotFoundError
  • IsADirectoryError
  • PermissionError
  • ProtectedPath

Example:

{
  "file_path": "/var/log/syslog",
  "offset": 1,
  "limit": 200
}

write_file (rw)

Creates or overwrites a file in one shot.

Parameters:

Field Type Required Default Notes
file_path string yes Absolute path
content string yes Max size 10485760 bytes (10 MB)

Notes:

  • Missing parent directories are created automatically.
  • Protected paths are rejected.

Example:

{
  "file_path": "/tmp/hello.txt",
  "content": "hello from mymcp\n"
}

edit_file (rw)

Replaces text in an existing file.

Parameters:

Field Type Required Default Notes
file_path string yes Absolute path
old_string string yes Max size 1048576 bytes
new_string string yes Max size 1048576 bytes
replace_all boolean no false If false, old_string must match uniquely

Use this when the client wants a precise in-file replacement instead of full overwrite.

Example:

{
  "file_path": "/tmp/app.conf",
  "old_string": "PORT=8000",
  "new_string": "PORT=8765"
}

glob (ro)

Finds matching files under a root directory. Results are sorted by modified time descending.

Parameters:

Field Type Required Default Notes
pattern string yes Example: **/*.py
path string no / Root directory

Runtime max results: 1000.

Example:

{
  "pattern": "**/*.log",
  "path": "/var/log"
}

grep (ro)

Searches file contents with a regex. Uses ripgrep if available; otherwise falls back to a Python implementation.

Parameters:

Field Type Required Default Notes
pattern string yes Regex pattern
path string no / File or directory to search
glob string no none Filename filter, e.g. *.py
output_mode string no content One of content, files, count
context_lines integer no 0 Include surrounding lines
max_results integer no 500 Runtime max 5000
case_insensitive boolean no false Case-insensitive search

Example:

{
  "pattern": "Authorization",
  "path": "/etc",
  "glob": "*.conf",
  "output_mode": "content",
  "context_lines": 2
}

prepare_upload (rw) and prepare_download (ro)

Use for binary files or files larger than 10 MB that don't need to be read into the conversation. The MCP tool only returns a small JSON object containing a one-time signed URL — the actual file bytes never enter the LLM context window. The client then drives the byte transfer with a regular curl from its local shell.

Workflow:

  1. LLM calls prepare_upload(dest_path="/tmp/foo.deb", max_bytes=20_000_000) → server returns a JSON dict with url, method: "PUT", expires_in (default 300 s), max_bytes, and a ready-to-run curl_example like curl -fsS -T /local/path/to/file 'https://server/files/raw/<ticket>'.
  2. LLM (or the user) runs the curl on the MCP client's local shell. Bytes stream straight to the server — no MCP message, no base64.
  3. Server writes to a temp file alongside the destination, atomically replaces it on success, and returns {"ok": true, "path": "...", "bytes_written": N}.

prepare_download is the mirror: it returns a GET URL, you curl URL -o local, and bytes stream back.

Tickets are single-use, path-scoped, byte-bounded, and expire after expires_in seconds (default 300, max 900). Both endpoints reuse the same check_protected_path and audit log as the file tools. Server tunables: MYMCP_TRANSFER_ENABLED, MYMCP_TRANSFER_MAX_BYTES (default 2 GB), MYMCP_TRANSFER_DEFAULT_TTL_SEC, MYMCP_TRANSFER_MAX_TTL_SEC, MYMCP_PUBLIC_BASE_URL (set when behind a reverse proxy).

server_overview (ro)

Returns the current contents of the server overview document maintained by the optional recorder module. Only available when the recorder is installed and MYMCP_RECORDER_ENABLED=true; otherwise the call fails with a clear error message. Takes no parameters.

The recorder periodically folds successful mutating audit events into an overview of what's installed and recently changed on the host. The companion changelog.md in the same directory can be read with read_file. See the "Optional: server overview recorder" section above for setup; full design details are in docs/superpowers/specs/2026-05-29-llm-recorder-design.md.

Tool behavior notes

  • File tools enforce protected-path checks.
  • bash_execute does not enforce protected-path checks; use ro tokens for untrusted clients.
  • grep and glob are capped to protect the server from unbounded scans.
  • read_file truncates oversized individual lines and marks them with [LINE TRUNCATED].
  • prepare_upload/prepare_download enforce protected-path checks at both mint and redeem time.

Logging

Audit Log

When enabled (MYMCP_AUDIT_ENABLED=true), all tool invocations are logged to <MYMCP_AUDIT_LOG_DIR>/audit.log in JSON Lines format:

{"ts":"2026-04-10T15:30:22Z","token_name":"my-client","role":"rw","ip":"203.0.113.5","tool":"bash_execute","params":{"command":"apt update"},"result":"ok","duration_ms":1523}

Error entries include error_code and error_message:

{"ts":"2026-04-10T15:31:00Z","token_name":"ro-client","role":"ro","ip":"203.0.113.5","tool":"read_file","params":{"file_path":"/var/log/mymcp/audit.log"},"result":"error","error_code":"ProtectedPath","error_message":"Access denied: path is within protected directory","duration_ms":0}

Logs rotate automatically (default 10MB with 5 backups).

Application Log

Tool errors and warnings are also output to stderr, which is captured by journald when running as a systemd service:

journalctl -u mymcp -f

Protected Paths

MCP automatically protects its own installation directory and audit log directory from access via file tools (read_file, write_file, edit_file, glob, grep). This prevents AI clients from reading tokens, modifying server code, or tampering with audit logs.

Add extra protected paths via MYMCP_PROTECTED_PATHS=/path/one,/path/two.

Note: bash_execute is not subject to path protection — use ro tokens for untrusted clients.

Observability

mymcp emits metrics, traces, and logs via OpenTelemetry. The default install supports Prometheus pull at /metrics; the [otlp] extra adds OTLP push for any backend.

Quick reference

Capability Default install pip install algony-mymcp[otlp]
/metrics Prometheus pull endpoint yes yes
OTLP push (metrics + traces + logs) no yes (when endpoint set)
FastAPI/ASGI auto-instrumentation no yes
Audit log → local file yes yes
Audit log → OTLP push no yes
Application logs → stderr (JSON) yes yes

Recipe 1 — Grafana Cloud (free tier)

pip install algony-mymcp[otlp]

export OTEL_EXPORTER_OTLP_ENDPOINT="https://otlp-gateway-prod-us-central-0.grafana.net/otlp"
export OTEL_EXPORTER_OTLP_HEADERS="Authorization=Basic <base64(instanceId:token)>"
export OTEL_SERVICE_NAME=mymcp

mymcp serve

Import deploy/observability/dashboard.json into Grafana Cloud.

Recipe 2 — Self-hosted LGTM stack

docker-compose.yml:

services:
  collector:
    image: otel/opentelemetry-collector-contrib:latest
    ports: ["4318:4318"]
    volumes: ["./otelcol-config.yaml:/etc/otelcol-contrib/config.yaml"]
  mimir:
    image: grafana/mimir:latest
    command: -config.file=/etc/mimir.yaml
  loki:
    image: grafana/loki:latest
  tempo:
    image: grafana/tempo:latest
  grafana:
    image: grafana/grafana:latest
    ports: ["3000:3000"]

Then run mymcp with:

OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4318 mymcp serve

Import the dashboard JSON; configure Mimir/Loki/Tempo as data sources.

Recipe 3 — Pull-only Prometheus

No extra needed. Configure Prometheus:

scrape_configs:
  - job_name: mymcp
    bearer_token: <your MYMCP_METRICS_TOKEN>
    static_configs:
      - targets: ['localhost:8000']

Import the dashboard JSON; the Traces and Logs panels remain empty (this is expected).

Configuration knobs

All standard OTel env vars work. The most useful:

Variable Default Purpose
OTEL_SERVICE_NAME mymcp Service name
OTEL_EXPORTER_OTLP_ENDPOINT unset OTLP target
OTEL_EXPORTER_OTLP_HEADERS unset OTLP auth headers
OTEL_EXPORTER_OTLP_PROTOCOL http/protobuf http or grpc
OTEL_TRACES_SAMPLER parentbased_traceidratio Sampler
OTEL_TRACES_SAMPLER_ARG 1.0 Sampling ratio
OTEL_METRIC_EXPORT_INTERVAL 60000 (ms) Push period
MYMCP_LOG_LEVEL INFO Application log level

Testing

# Run all tests (excludes benchmarks)
python -m pytest tests/ -v --benchmark-disable

# Run with coverage report
python -m pytest tests/ -v --cov=. --cov-branch --cov-report=term-missing --benchmark-disable

# Run benchmark tests only
python -m pytest tests/test_benchmark.py --benchmark-only -v

# Save benchmark baseline for comparison
python -m pytest tests/test_benchmark.py --benchmark-save=baseline

# Run mutation testing
python -m mutmut run --max-children 1
python -m mutmut results

# Run load tests (start server first: mymcp serve)
export MYMCP_TEST_TOKEN=<your-rw-token>
locust -f tests/loadtest/locustfile.py --host http://localhost:8765

Test Dimensions

Dimension Tool Target
Line coverage pytest-cov 97%+
Branch coverage pytest-cov --cov-branch tracked
Integration tests httpx ASGITransport full auth->tool->audit chain
Boundary analysis pytest all parameter edge cases
Performance benchmarks pytest-benchmark per-function timing
Load testing locust multi-user concurrency
Mutation testing mutmut 80%+ score

Security Note

This server grants system access to AI clients. Security measures:

  • Permissions: New tokens default to ro (read-only). Only grant rw to trusted clients.
  • Audit: Enable audit logging to track all tool invocations.
  • Protected paths: Server files are automatically protected from tool access.
  • Network: Run behind a firewall and consider TLS (e.g. via nginx reverse proxy).

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