INDIVIDUAL MCP TOOL

get_essay

Fetch the full Markdown text of one essay by its URL slug, e.g.

veda.ngnone authenticationAvailability not checked

LIVE ENDPOINT

https://veda.ng/.well-known/mcp

No auth detected

Connect to this endpoint to inspect the live schema for get_essay and invoke it with your own arguments.

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.veda-ng]
url = "https://veda.ng/.well-known/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "veda-ng": {
      "type": "http",
      "url": "https://veda.ng/.well-known/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: veda-ng
Remote MCP URL: https://veda.ng/.well-known/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "veda-ng": {
      "url": "https://veda.ng/.well-known/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "veda-ng": {
      "type": "http",
      "url": "https://veda.ng/.well-known/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "veda-ng",
  "transport": "streamable-http",
  "url": "https://veda.ng/.well-known/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

search_essays — Search long-form essays by Vedang Vatsa on AI agents, AI policy, and Web3.
search_glossary — Search the AI & Web3 glossary (100+ terms).
get_glossary_term — Fetch the full Markdown definition of one glossary term by its slug, e.g.
search_reports — Search 233,000+ indexed academic papers via OpenAlex in the AI or Web3 corpus, sorted by citations.
scan_agent_readiness — Audit any website for AI agent-readiness and machine discovery: evaluates robots.txt AI bot policies, llms.txt, MCP endpoints, OpenAPI schemas, and Markdown twins with a 0-100 score.