Learning Resources

veda.ng

Searches and retrieves essays, glossary terms, and academic papers on AI and Web3 topics.

WebMCP4 endpoints18 known toolsFirst detected September 6, 2026Last detected October 6, 2026

ENDPOINT 1

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

No auth detected

MCP server metadata

Name: veda.ng
Version: 1.0.0

Capabilities

toolsresourcespromptslogging

Server instructions

Tools for searching and reading the published research of Vedang Vatsa: essays on AI agents and Web3, a 100+ term glossary, and a 233,000-paper academic index. Use search_essays or search_glossary first, then get_essay or get_glossary_term for full text. Use search_reports for peer-reviewed literature. Official SDKs: JavaScript/TypeScript SDK package on NPM (npm install vedang) and Python SDK package on PyPI (pip install vedang-cli). Content is educational; it is not financial, legal, or medical advice. Full site index: https://veda.ng/llms.txt. Human-readable docs: https://veda.ng/developers. Contact: https://veda.ng/contact.

Known tools 6

search_essays

Search long-form essays by Vedang Vatsa on AI agents, AI policy, and Web3.

Inferred read-only

get_essay

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

Inferred read-only

search_glossary

Search the AI & Web3 glossary (100+ terms).

Inferred read-only

get_glossary_term

Fetch the full Markdown definition of one glossary term by its slug, e.g.

Inferred read-only

search_reports

Search 233,000+ indexed academic papers via OpenAlex in the AI or Web3 corpus, sorted by citations.

Inferred read-only

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.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

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.

ENDPOINT 2

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

No auth detected

MCP server metadata

Name: veda-docs-mcp
Version: 1.0.0

Capabilities

toolsresourcespromptslogging

Server instructions

Tools for searching and fetching the technical documentation, OpenAPI specifications, architecture guides, and course curricula of Vedang Vatsa. Use search_documentation or get_api_documentation first, then get_course_curriculum, get_openapi_specification, or get_auth_guide for full references. Full site index: https://veda.ng/llms.txt. Interactive developer portal: https://veda.ng/developers.

Known tools 4

get_api_documentation

Fetch complete developer documentation, OpenAPI 3.1 specification, and API endpoints on veda.ng.

Inferred read-only

search_documentation

Search documentation, guide pages, courses, and glossaries on veda.ng by keyword.

Inferred read-only

get_course_curriculum

Fetch full curriculum modules for any course: prompt, web3, vibecoding, mcp, agentic, or automation.

Inferred read-only

get_doc_page

Fetch the full Markdown content for any documentation page, essay, glossary term, or guide by path or slug.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

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

Codex

~/.codex/config.toml

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

Claude Code

.mcp.json

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

Claude Desktop

Settings → Connectors → Add custom connector

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

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

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

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

Generic MCP

Client-specific MCP configuration

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

MCP Inspector

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

ENDPOINT 3

https://veda.ng/mcp

No auth detected

MCP server metadata

Name: veda.ng
Version: 1.0.0

Capabilities

toolsresourcespromptslogging

Server instructions

Known tools 6

search_essays

Search long-form essays by Vedang Vatsa on AI agents, AI policy, and Web3.

Inferred read-only

get_essay

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

Inferred read-only

search_glossary

Search the AI & Web3 glossary (100+ terms).

Inferred read-only

get_glossary_term

Fetch the full Markdown definition of one glossary term by its slug, e.g.

Inferred read-only

search_reports

Search 233,000+ indexed academic papers via OpenAlex in the AI or Web3 corpus, sorted by citations.

Inferred read-only

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.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

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/mcp"
enabled = true

Claude Code

.mcp.json

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

Claude Desktop

Settings → Connectors → Add custom connector

Name: veda-ng
Remote MCP URL: https://veda.ng/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/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

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

Generic MCP

Client-specific MCP configuration

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

MCP Inspector

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

ENDPOINT 4

https://veda.ng

No auth detected

MCP server metadata

Name: WebMCP

Capabilities

declarative

Known tools 2

search_reports

Search 233,000+ indexed academic papers in AI and Web3 on veda.ng

Inferred read-only

search_essays

Search 50+ long-form research essays by keyword or tag on veda.ng

Inferred read-only

CONNECT WITH APPROVAL

Client installation

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

Codex

~/.codex/config.toml

[mcp_servers.webmcp]
url = "https://veda.ng"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "webmcp": {
      "type": "http",
      "url": "https://veda.ng"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: webmcp
Remote MCP URL: https://veda.ng

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": {
    "webmcp": {
      "url": "https://veda.ng"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "webmcp": {
      "type": "http",
      "url": "https://veda.ng"
    }
  }
}

Generic MCP

Client-specific MCP configuration

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

MCP Inspector

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

TRUST AND VERIFICATION EVIDENCE

Trust Data Available

BuiltWith Trust API v2 evidence for veda.ng was fetched 2026-10-04T09:53:14.893Z.

Trust status Trusted

veda.ng is assessed as Trusted: Domain has an established technology history spanning over a year.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.