mirror of
https://github.com/NousResearch/hermes-agent.git
synced 2026-05-13 03:52:00 +00:00
Extends the Windows-gating work to the optional-skills/ tree. Every
SKILL.md that previously omitted the platforms: field now carries an
explicit declaration, which Hermes's loader (agent.skill_utils.
skill_matches_platform) honors to skip-load on incompatible OSes.
58 skills declared cross-platform (platforms: [linux, macos, windows]):
autonomous-ai-agents/blackbox, autonomous-ai-agents/honcho
blockchain/base, blockchain/solana
communication/one-three-one-rule
creative/blender-mcp, creative/concept-diagrams, creative/hyperframes,
creative/kanban-video-orchestrator, creative/meme-generation
devops/cli (inference-sh-cli), devops/docker-management
dogfood/adversarial-ux-test
email/agentmail
finance/3-statement-model, finance/comps-analysis, finance/dcf-model,
finance/excel-author, finance/lbo-model, finance/merger-model,
finance/pptx-author
health/fitness-nutrition, health/neuroskill-bci
mcp/fastmcp, mcp/mcporter
migration/openclaw-migration
mlops/accelerate, mlops/chroma, mlops/clip, mlops/guidance,
mlops/hermes-atropos-environments, mlops/huggingface-tokenizers,
mlops/instructor, mlops/lambda-labs, mlops/llava, mlops/modal,
mlops/peft, mlops/pinecone, mlops/pytorch-lightning, mlops/qdrant,
mlops/saelens, mlops/simpo, mlops/stable-diffusion
productivity/canvas, productivity/shop-app, productivity/shopify,
productivity/siyuan, productivity/telephony
research/domain-intel, research/drug-discovery, research/duckduckgo-search,
research/gitnexus-explorer, research/parallel-cli, research/scrapling
security/1password, security/oss-forensics, security/sherlock
web-development/page-agent
5 skills gated from Windows (platforms: [linux, macos]):
mlops/flash-attention - Flash Attention wheels are Linux-first; Windows
install requires building from source with CUDA
mlops/faiss - faiss-gpu has no Windows wheel; gate rather than
leak partial (faiss-cpu) support
mlops/nemo-curator - NVIDIA NeMo ecosystem has no first-class Windows path
mlops/slime - Megatron+SGLang RL stack is Linux-only in practice
mlops/whisper - openai-whisper + ffmpeg setup on Windows is
non-trivial; gate until Windows install stanza lands
Methodology: scanned every SKILL.md for Windows-hostile signals
(apt-get, brew, systemd, osascript, ptrace, X11 binaries, POSIX-only
Python APIs, Docker POSIX $(pwd) bind-mounts, explicit 'linux-only' /
'macos-only' text). 3 skills flagged as having hard signals on review:
docker-management and qdrant only had POSIX $(pwd) docker examples and
the tools themselves (Docker Desktop, Qdrant) run fine on Windows —
declared ALL. whisper had an apt/brew ffmpeg install path and nothing
else but the openai-whisper Windows install story is rough enough to
warrant gating.
Strict-over-lenient policy: when in doubt, gate. Easier to un-gate after
verified Windows support lands than to leak partial support that
manifests as mid-task failures for Windows users.
3.1 KiB
3.1 KiB
| name | description | version | author | license | platforms | metadata | prerequisites | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| mcporter | Use the mcporter CLI to list, configure, auth, and call MCP servers/tools directly (HTTP or stdio), including ad-hoc servers, config edits, and CLI/type generation. | 1.0.0 | community | MIT |
|
|
|
mcporter
Use mcporter to discover, call, and manage MCP (Model Context Protocol) servers and tools directly from the terminal.
Prerequisites
Requires Node.js:
# No install needed (runs via npx)
npx mcporter list
# Or install globally
npm install -g mcporter
Quick Start
# List MCP servers already configured on this machine
mcporter list
# List tools for a specific server with schema details
mcporter list <server> --schema
# Call a tool
mcporter call <server.tool> key=value
Discovering MCP Servers
mcporter auto-discovers servers configured by other MCP clients (Claude Desktop, Cursor, etc.) on the machine. To find new servers to use, browse registries like mcpfinder.dev or mcp.so, then connect ad-hoc:
# Connect to any MCP server by URL (no config needed)
mcporter list --http-url https://some-mcp-server.com --name my_server
# Or run a stdio server on the fly
mcporter list --stdio "npx -y @modelcontextprotocol/server-filesystem" --name fs
Calling Tools
# Key=value syntax
mcporter call linear.list_issues team=ENG limit:5
# Function syntax
mcporter call "linear.create_issue(title: \"Bug fix needed\")"
# Ad-hoc HTTP server (no config needed)
mcporter call https://api.example.com/mcp.fetch url=https://example.com
# Ad-hoc stdio server
mcporter call --stdio "bun run ./server.ts" scrape url=https://example.com
# JSON payload
mcporter call <server.tool> --args '{"limit": 5}'
# Machine-readable output (recommended for Hermes)
mcporter call <server.tool> key=value --output json
Auth and Config
# OAuth login for a server
mcporter auth <server | url> [--reset]
# Manage config
mcporter config list
mcporter config get <key>
mcporter config add <server>
mcporter config remove <server>
mcporter config import <path>
Config file location: ./config/mcporter.json (override with --config).
Daemon
For persistent server connections:
mcporter daemon start
mcporter daemon status
mcporter daemon stop
mcporter daemon restart
Code Generation
# Generate a CLI wrapper for an MCP server
mcporter generate-cli --server <name>
mcporter generate-cli --command <url>
# Inspect a generated CLI
mcporter inspect-cli <path> [--json]
# Generate TypeScript types/client
mcporter emit-ts <server> --mode client
mcporter emit-ts <server> --mode types
Notes
- Use
--output jsonfor structured output that's easier to parse - Ad-hoc servers (HTTP URL or
--stdiocommand) work without any config — useful for one-off calls - OAuth auth may require interactive browser flow — use
terminal(command="mcporter auth <server>", pty=true)if needed