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MCP server · Cloud

Mcpd

Declaratively define and run required tools across environments, from local development to containerized cloud deployments.

Unclaimed Apache-2.0 cloud
80Excellent

Scored 7 days ago · breakdown

About Mcpd

Mcpd is an MCP server published by mozilla-ai in the Cloud category: declaratively define and run required tools across environments, from local development to containerized cloud deployments.

The repository has 186 stars and 25 forks, with the last commit yesterday. Recent commit activity is the strongest signal that reported issues will get attention.

Install

Claude Code
claude mcp add mcpd -- npx -y @juncai/mcpd
npx
npx -y @juncai/mcpd

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (4)

Compute[llamafile](https://github.com/mozilla-ai/llamafile)

Parameters not published.

Interface[any-llm](https://github.com/mozilla-ai/any-llm)

Parameters not published.

Logic[any-agent](https://github.com/mozilla-ai/any-agent)

Parameters not published.

Safety[any-guardrail](https://github.com/mozilla-ai/any-guardrail)

Parameters not published.

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Security checks

Static checks derived from the repository 10 hours ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • ✓Tests presentA test suite exists in the repository.
  • ✓Dependencies pinnedA lockfile pins dependency versions.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

Releases

v0.6.0v0.6.0 · 15 Sep 2026What's Changed chore(ci): bump the github-actions group with 2 updates by @dependabot[bot] in https://github.com/mozilla-ai/mcpd/pull/298 chore(deps): bump the go-minor-patch group across 1 directory with 3 updates by @dependabot[bot] in…
v0.5.3v0.5.3 · 17 Aug 2026What's Changed fix(api): preserve typeless output schemas in tool conversion by @peteski22 in https://github.com/mozilla-ai/mcpd/pull/295 Full Changelog: https://github.com/mozilla-ai/mcpd/compare/v0.5.2...v0.5.3
v0.5.2v0.5.2 · 15 Aug 2026What's Changed fix(config): validate positional move options and roll back partial moves by @shoemoney in https://github.com/mozilla-ai/mcpd/pull/278 refactor(registry): return default cache TTL by value by @danielgaskins in…
docs/v0.1.1docs/v0.1.1 · 14 Aug 2026What's Changed chore(ci): bump the github-actions group with 5 updates by @dependabot[bot] in https://github.com/mozilla-ai/mcpd/pull/292 chore(deps): bump node from 24.5.0-alpine3.22 to 26.3.0-alpine3.22 in the docker group by…
v0.5.1v0.5.1 · 14 Aug 2026What's Changed ci: gate goreleaser to semver v* releases, bump to Node 24, add Dependabot by @peteski22 in https://github.com/mozilla-ai/mcpd/pull/289 chore(ci): bump the github-actions group with 5 updates by @dependabot[bot] in…

README

Built by Mozilla AI

📚 mcpd official docs


mcpd is a daemon that manages your MCP servers via declarative configuration, exposing them as clean HTTP endpoints. This bridges the gap between your agents and your infrastructure, handling the messy work of lifecycle management, secret injection, and environment promotion so you don't have to.

⚙️ How it Works

Under the hood, mcpd spawns MCP servers as STDIO subprocesses and proxies requests over HTTP.

🚀 Quick Start

Prerequisites

Install the mcpd binary first, then install the runtime(s) used by the MCP servers you want to run:

  • uv for servers whose package starts with uvx::
  • Node.js / npx for servers whose package starts with npx::, and for mcpd inspector
  • Docker for servers whose package starts with docker::, or if you plan to run mcpd in Docker

The quick start below uses the time server via uvx, so uv is required for that example.

Optional helpers used in some docs examples:

  • curl to call the HTTP API
  • jq to pretty-print JSON responses

If you are building mcpd from source or contributing, you will also need Go (v1.27.1+ required).

Installation

via Homebrew

(Works for both macOS and Linux)

Add the Mozilla.ai tap:

brew tap mozilla-ai/tap

Then install mcpd:

brew install mcpd

Or install directly from the cask:

brew install --cask mozilla-ai/tap/mcpd

Please read our docs to install via GitHub releases or local Go Binary build.

Using mcpd

# Initialize a new project and create a new .mcpd.toml file
mcpd init

# Add an MCP server to .mcpd.toml
mcpd add time

# Set the local timezone for the MCP server
mcpd config args set time -- --local-timezone=Europe/London

# Start the daemon in dev mode with debug logging
mcpd daemon --dev --log-level=DEBUG --log-path=$(pwd)/mcpd.log

Now that the daemon is running, let's call the get_current_time tool provided by the time MCP server

# Check the time
curl -s --request POST \
  --url http://localhost:8090/api/v1/servers/time/tools/get_current_time \
  --header 'Accept: application/json, application/problem+json' \
  --header 'Content-Type: application/json' \
  --data '{
  "timezone": "Europe/Warsaw"
}'

API docs will be available at http://localhost:8090/docs.

💡 Why mcpd?

Engineering teams build agents that work locally, then struggle to make them production-ready across environments. mcpd bridges this gap with declarative configuration and secure secrets management.

  • Declarative & reproducible – .mcpd.toml defines your tool infrastructure
  • Language-agnostic – Python, JS, Docker containers via unified HTTP API
  • Dev-to-prod ready – Same config works locally and in containers

🏗️ Built for Dev & Production

Development Workflow Production Benefit
mcpd daemon runs everything locally Same daemon runs in containers
.mcpd.toml version-controlled configs Declarative infrastructure as code
Local secrets in ~/.config/mcpd/ Secure secrets injection via control plane
mcpd config export exports version-control safe snapshot of local configuration Sanitized secrets config and templates for CI/CD pipelines

📦 SDKs

mcpd SDKs

Language Repository Status
Python mcpd-sdk-python ✅
JavaScript mcpd-sdk-javascript ✅

mcpd plugin SDKs

Plugin SDKs are built using the mcpd plugin Protocol Buffers specification.

Language Repository Status
Go mcpd-plugins-sdk-go ✅
.NET mcpd-plugins-sdk-dotnet ✅
Python mcpd-plugins-sdk-python ✅

💻 Development

If you are developing mcpd, you will need:

  • Go (v1.27.1+ required)

Build local code:

make build

Run tests:

make test

Validate Mozilla AI registry (when modifying registry files):

make validate-registry

Run the local documentation site (requires uv), dynamically generates command line documentation:

make docs

🧩 The Mozilla.ai Stack

mcpd is the "Tooling Layer" of the Mozilla.ai ecosystem. These tools are designed to work together or standalone.

Layer Tool Function
Compute llamafile Local LLM inference server
Interface any-llm Unified Python library for LLM inference
Logic any-agent Orchestration and agent loops
Tools mcpd (You are here) Tool sandbox & router
Safety any-guardrail Input/Output validation

🤝 Contributing

Please see our Contributing to mcpd guide for more information.

📄 License

Licensed under the Apache License 2.0.

README fetched from the repository 10 hours ago. The original is authoritative.

Questions

About Mcpd

How do I install Mcpd?

Run claude mcp add mcpd -- npx -y @juncai/mcpd, then add the server to your MCP client's configuration.

Is Mcpd safe to use with an AI agent?

Its trust score is 80 out of 100 (excellent). It passes 5 of the 6 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Mcpd still maintained?

Yes — the latest release is v0.6.0 (15 Sep 2026), and the last commit was yesterday. The repository has 186 stars and 34 open issues.