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PopNx MCPMCP servers for people who use AI · explained in plain words

BLEA

by Nitmiversion 0.7.0i★ –iRuns on your computer
Registry nameio.github.Nitmi/blea

Install

Overview

Description from the maker (original English)

Safe BLE diagnostics, evidence workflows, and guarded automation for AI agents.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "blea": {
      "command": "uvx",
      "args": [
        "blea",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add blea -- uvx blea mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "blea": {
      "command": "uvx",
      "args": [
        "blea",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "blea": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "blea",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account Nitmi, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32410 servers in this category
  • Published to the registry more recently than 51% of the other 32410 servers in this category
  • Basic checks equal to or better than 100% of the other 32410 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is BLEA safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.7.0) reached the registry 38 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, debuff

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
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debuff

by debuffjp

Let coding agents play, test and tune your 2D web game: live state, explained errors, replays, fuzz.

Runs on your computerUpdated today
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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

BLEA

BLEA — Bluetooth Low Energy Automation — is a universal Agent Plugin for safe, deterministic BLE work. It gives AI agents a portable Skill, a machine-readable CLI, a local MCP server, guarded automation, and offline evidence capture, diff, and replay.

The project is designed for the BLE work agents repeatedly need: checking OS Bluetooth access, finding the right nearby device, discovering GATT services, preserving and comparing raw byte evidence, reading and subscribing before changing state, and making writes only after explicit authorization.

SurfaceRole
Agent Plugin 1.0.0Packages the portable identity, Skill, and MCP declaration.
Agent SkillTeaches agents the BLE workflow, safety boundaries, and recovery rules.
CLIEmits deterministic JSON/JSONL for scripts, terminals, and any agent with shell access.
MCPExposes the same runtime as local, structured tools with managed BLE sessions.

The ble executable is the shared runtime. Regular subcommands use the CLI surface; ble mcp starts the stdio MCP server. The MCP protocol is therefore a first-class interface, not a second tool hidden inside an unrelated CLI product.

Install

BLEA requires Python 3.10 or newer. Bluetooth access is provided by the operating system through Bleak.

Quick install with an Agent prompt

Give this prompt to an Agent with shell access:

Read https://github.com/Nitmi/blea and follow its README to install BLEA for me.

For manual installation, use the detailed paths below.

Install the latest published Python runtime from PyPI:

uv tool install blea

ble --help

For Codex, install the public Git marketplace package after the runtime:

codex plugin marketplace add Nitmi/blea

codex plugin add blea@blea

To install only the portable Agent Skill with the Skills CLI:

npx skills add Nitmi/blea --skill ble

For OpenClaw, install the same portable Skill from its public ClawHub listing:

openclaw skills install @nitmi/blea

Or use the registry CLI directly:

clawhub install @nitmi/blea

The Skill teaches the workflow and safety policy; it does not install the Python runtime. Install blea from PyPI as shown above before asking an agent to access live Bluetooth hardware or start the local MCP server. The source Skill is skills/ble/SKILL.md, and the public ClawHub release is @nitmi/blea.

Start a new Agent task after installation. The marketplace package supplies the BLE Skill and MCP declaration; it does not install the Python runtime or operating-system Bluetooth permissions. See docs/installation.md for the release-tag, legacy 0.6.0 bridge, and update procedure.

From a checkout, install the command runtime directly from the working tree:

uv tool install --editable .

ble --version

For repository development:

uv sync --extra dev

uv run ble --help

Standalone Windows release

Starting with 0.6.5, each release includes blea- -windows-x86_64.zip with a single-file ble.exe and a manifest binding its SHA-256, version, target, and source commit. Python is not required at runtime. The tag workflow builds twice on one GitHub-hosted Windows runner, rejects unequal ZIP hashes, runs ble --version and an adapter-free evidence replay, and creates GitHub artifact provenance. It does not run doctor, scan, or access Bluetooth hardware.

Verify the archive before use:

gh attestation verify blea-0.7.0-windows-x86_64.zip `

--repo Nitmi/blea --source-ref refs/tags/v0.7.0 --signer-workflow Nitmi/blea/.github/workflows/binary-release.yml ` --deny-self-hosted-runners

Attestation proves repository build provenance; it is not Windows Authenticode signing and does not prove a Bluetooth adapter, peripheral, or firmware identity.

The Python runtime and Agent Plugin are two related installation units: PyPI installs the ble executable, while an Agent Plugins 1.0.0 client loads this repository directory to discover plugin.json, mcp.json, and skills/ble. Install the runtime first so the plugin's local stdio MCP server can find ble on PATH. See docs/installation.md for source, plugin, update, permissions, and verification paths.

CLI

ble doctor --json

ble scan --timeout 8 --json ble inspect --device "id:AA:BB:CC:DD:EE:FF" --json ble probe --device "id:AA:BB:CC:DD:EE:FF" --max-reads 16 --json ble probe --device "id:AA:BB:CC:DD:EE:FF" --max-reads 16 --read-offset 16 --json ble read --device "id:AA:BB:CC:DD:EE:FF" --characteristic 2a19 --json ble pair --device "id:AA:BB:CC:DD:EE:FF" --allow-pairing \ --confirm-device "AA:BB:CC:DD:EE:FF" --timeout 60 --json ble subscribe --device "id:AA:BB:CC:DD:EE:FF" --characteristic 2a37 --duration 15 --jsonl ble observe --device "id:AA:BB:CC:DD:EE:FF" --duration 10 --jsonl ble diff before.blea.jsonl after.blea.jsonl --json ble replay capture.blea.jsonl inspect --json ble replay capture.blea.jsonl read --characteristic 2a19 --json ble exchange \ --device "id:AA:BB:CC:DD:EE:FF" \ --write-characteristic 12345678-1234-1234-1234-1234567890ab \ --notify-characteristic 87654321-4321-4321-4321-ba0987654321 \ --text ping --duration 5 --allow-write \ --confirm-device "AA:BB:CC:DD:EE:FF" --jsonl

Device names are accepted only when exactly one observed device has that name. Prefer the platform identifier returned by scan; on macOS this is normally a UUID rather than a MAC address.

Every binary value includes length, hex, base64, and replacement-safe UTF-8 representations. JSON errors use stable reasons and exit codes suitable for agent recovery.

probe is paginated. Follow next_read_offset until it is null. Page counts and characteristic-level failures live under read_page; ok=true means the page executed, while read_page.has_failures tells you whether any characteristic failed. Every result includes a small profile_summary. The CLI includes the full GATT profile by default and supports --no-include-profile; the MCP tool omits it by default to keep repeated pages compact.

Connection commands report timeout_scope=per_backend_operation. Their timeout applies separately to discovery, connection, and each GATT operation, rather than bounding the total command time. GATT entries include uuid_namespace. BLEA reports library descriptions only for canonical Bluetooth Base UUIDs, avoiding false standard names inferred from the leading bytes of custom 128-bit UUIDs.

observe discovers notify/indicate characteristics and watches them over one connection for a bounded duration. Omit --characteristic to select all event-capable traits, or repeat it for explicit selection. The result separates subscription failures, cleanup failures, and notification events; a quiet window is evidence only for that sample window.

Save a complete read-only evidence package after diagnosis:

ble capture \

--device "id:AA:BB:CC:DD:EE:FF" \ --output capture.blea.jsonl \ --max-reads 128 \ --observe-duration 10 \ --redact-identifiers \ --json

capture records the advertisement, normalized GATT profile, each readable-characteristic result, bounded notifications, operation errors, and a validated final summary. It performs no writes, pairing, or configuration changes and replaces the destination only after an atomic close. The JSONL file is the authoritative artifact; the command's JSON result is a compact summary. The Evidence Format v1 contract and deterministic validator live in docs/evidence-format-v1.md.

Compare two complete evidence packages without a Bluetooth adapter or device:

ble diff before.blea.jsonl after.blea.jsonl --json

ble diff before.blea.jsonl after.blea.jsonl --fail-on-change --json

diff validates both Evidence Format v1 inputs, projects them into stable BLE semantics, and emits sorted JSON Pointer changes. It ignores capture IDs, timestamps, runtime metadata, sampling duration, and RSSI movement within 5 dBm by default. Use --strict-rssi for exact RSSI comparison. Device identifiers must match unless an intentional cross-device comparison uses --allow-different-devices. Binary payloads are atomic changes, so one changed value does not produce separate Hex, Base64, and UTF-8 noise. A normal difference exits successfully; --fail-on-change returns code 3 after printing the complete result for CI. The contract lives in docs/diff-format-v1.md.

Replay a complete evidence package without a Bluetooth adapter or physical device:

ble replay capture.blea.jsonl inspect --json

ble replay capture.blea.jsonl probe --max-reads 32 --json ble replay capture.blea.jsonl read --characteristic 2a19 --json ble replay capture.blea.jsonl observe --duration 10 --jsonl ble replay capture.blea.jsonl run examples/replay-read-only.yaml --json

Replay reconstructs advertisements, GATT, reads, captured failures, subscription outcomes, and the notification timeline through the same read-only backend interfaces used for live devices. The default --speed 0 mode is immediate and deterministic; place a positive --speed before the operation to preserve recorded notification gaps at that multiplier. Missing observations return the stable replay_miss reason instead of an invented value or success. Replay never accesses a real adapter and never sends or simulates writes or exchanges. The full contract lives in docs/replay-format-v1.md.

Pairing

Explicit OS pairing and unpairing are separate guarded, one-shot operations on Windows and Linux. Both require a fresh exact id: selector, --allow-pairing, and --confirm-device equal to the resolved identifier. Discovery defaults to 5 seconds (--scan-timeout), separately from the 60-second pairing per-operation timeout. Unpairing removes the OS bond and can disconnect other clients, so close any active BLEA session first. Neither action is automatically retried, and both return structured JSON results. macOS does not expose explicit pair/unpair through Bleak; protected GATT access prompts for pairing through the OS instead. Replay remains read-only even when the pairing flags are provided.

ble pair --device "id:AA:BB:CC:DD:EE:FF" --allow-pairing \

--confirm-device "AA:BB:CC:DD:EE:FF" --timeout 60 --json ble unpair --device "id:AA:BB:CC:DD:EE:FF" --allow-pairing \ --confirm-device "AA:BB:CC:DD:EE:FF" --json

For a Windows device that requires a six-digit PIN, set a process-local environment variable and pass its name with --pin-env. The PIN is not included in CLI arguments or BLEA's result fields. For example, after setting BLEA_PAIR_PIN locally:

ble pair --device "id:AA:BB:CC:DD:EE:FF" --allow-pairing \

--confirm-device "AA:BB:CC:DD:EE:FF" --pin-env BLEA_PAIR_PIN --json

This path uses Windows custom pairing with ProvidePin and requires encryption and authentication. It refreshes the OS bond state and reports paired_before, paired_after, pin_used, and authentication_verified. An exis

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