Real-time fact-checking MCP. Verifies claims against live sources with structured verdicts.
Real-time fact-checking MCP. Verifies claims against live sources with structured verdicts.
Real-time fact-checking and data freshness agent. Verifies claims, URLs, and content against live web sources. Returns structured verdicts with confidence scores, what has changed, and supporting sources.
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| verity_verify | Verify a claim or URL against live sources |
| verity_deep_check | Multi-angle thorough verification |
| verity_batch | Verify up to 10 claims at once |
| verity_agent | Natural language fact-checking |
{
"mcpServers": {
"verity": {
"command": "npx",
"args": ["verity-mcp"],
"env": {
"VERITY_PRIVATE_KEY": "0x..."
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| VERITY_PRIVATE_KEY | Credential the server authenticates with. | Yes |
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
Email inbox for AI agents, owned by a Nostr key. No signup or API key. Receive codes, read, send.
HAL (HTTP API Layer) - An MCP server that provides HTTP API capabilities to Large Language Models with OpenAPI/Swagger integration
MacOS / Linux: ```json { "mcpServers": { "Jadx MCP Server": { "command": "/Users/yourname/jadx-mcp-plugin/venv/bin/python", "args"
This is a quickstart template to easily build and deploy a custom remote MCP server to the cloud using Azure functions. You can clone/restore/run on