Server data from the Official MCP Registry
Weather, code search, currency & Solana trust scoring as MCP tools. Free, no API key needed.
Weather, code search, currency & Solana trust scoring as MCP tools. Free, no API key needed.
Remote endpoints: streamable-http: https://venice-components-track-determination.trycloudflare.com/mcp
Valid MCP server (2 strong, 4 medium validity signals). 3 known CVEs in dependencies Imported from the Official MCP Registry.
4 tools verified · Open access · 3 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-baronsengir007-openclaw-agent-tools": {
"url": "https://venice-components-track-determination.trycloudflare.com/mcp"
}
}
}From the project's GitHub README.
A Model Context Protocol server that bundles 4 real-world agent capabilities as MCP tools. Each tool calls a live backend agent service — making agent-to-agent collaboration invisible to the LLM using the tools.
| Tool | Description | Backend |
|---|---|---|
agent_weather | Real-time weather + 3-day forecast for any city | OpenMeteo (free, no API key) |
agent_code_search | GitHub repository search by topic or description | GitHub Search API |
agent_currency | Currency conversion & exchange rates | open.er-api.com (free, no API key) |
agent_trust_score | Solana wallet trust scoring (on-chain signals) | Solana mainnet-beta RPC |
Most MCP tools are wrappers around single APIs. This server demonstrates a different pattern: agents as tools. Each tool is backed by a running agent service that can be upgraded independently without changing the MCP interface.
The trust scoring tool is particularly useful before delegating tasks or micropayments to unknown agent wallets — a key primitive in the emerging agent economy.
Add to your claude_desktop_config.json or MCP config:
{
"mcpServers": {
"openclaw-agent-tools": {
"command": "npx",
"args": ["-y", "openclaw-agent-tools"]
}
}
}
The server also runs as a public HTTP endpoint supporting the MCP Streamable HTTP transport:
POST http://178.104.131.84:8087/mcp
Accept: application/json, text/event-stream
Content-Type: application/json
{
"jsonrpc": "2.0",
"method": "tools/call",
"id": "1",
"params": {
"name": "agent_weather",
"arguments": {"query": "Amsterdam"}
}
}
{
"jsonrpc": "2.0",
"method": "tools/call",
"id": "2",
"params": {
"name": "agent_trust_score",
"arguments": {"wallet_address": "9WzDXwBbmkg8ZTbNMqUxvQRAyrZzDsGYdLVL9zYtAWWM"}
}
}
git clone https://github.com/baronsengir007/openclaw-agent-tools
cd openclaw-agent-tools
npm install
node server.js --http # HTTP mode on port 3000
# or
node server.js --stdio # stdio mode for Claude Desktop
docker build -t openclaw-agent-tools .
docker run -d -p 3000:3000 openclaw-agent-tools
MIT — OpenClaw Research
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