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Content Tools

datastrict.com

Provides search and retrieval of DataStrict's public content, pages, and glossary terms, and fills the newsletter signup form for AI governance updates.

WebMCP2 endpoints4 known toolsFirst detected October 8, 2026Last detected October 8, 2026

ENDPOINT 1

https://www.datastrict.com/api/mcp

No auth detected

MCP server metadata

Name
com.datastrict/knowledge
Version
1.0.0
Capabilities
tools
Server instructions

Read-only knowledge server for DataStrict public content. Use `search` to find pages, `get_page` for a page's Markdown, and `get_glossary_term` for definitions.

Known tools 3

search

Search DataStrict's public content (pages, docs, blog, glossary, industries, integrations) and return matching titles, one-line descriptions, and URLs.

Inferred read-only
get_page

Return the Markdown representation of a DataStrict page by path (e.g.

Inferred read-only
get_glossary_term

Define an AI-governance term from the DataStrict glossary, by term name 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.com-datastrict-knowledge]
url = "https://www.datastrict.com/api/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "com-datastrict-knowledge": {
      "type": "http",
      "url": "https://www.datastrict.com/api/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: com-datastrict-knowledge
Remote MCP URL: https://www.datastrict.com/api/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": {
    "com-datastrict-knowledge": {
      "url": "https://www.datastrict.com/api/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code 
{
  "servers": {
    "com-datastrict-knowledge": {
      "type": "http",
      "url": "https://www.datastrict.com/api/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "com-datastrict-knowledge",
  "transport": "streamable-http",
  "url": "https://www.datastrict.com/api/mcp"
}
MCP Inspector

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

ENDPOINT 2

https://www.datastrict.com

No auth detected

MCP server metadata

Name
WebMCP
Capabilities
declarative

Known tools 1

subscribe_datastrict_newsletter

Fill in the DataStrict newsletter signup, for updates on AI governance, data security, and agentic control. This fills the form only; the person must click Subscribe to send it.

Potential side effects

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://www.datastrict.com"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "webmcp": {
      "type": "http",
      "url": "https://www.datastrict.com"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: webmcp
Remote MCP URL: https://www.datastrict.com

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://www.datastrict.com"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code 
{
  "servers": {
    "webmcp": {
      "type": "http",
      "url": "https://www.datastrict.com"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "webmcp",
  "transport": "streamable-http",
  "url": "https://www.datastrict.com"
}
MCP Inspector

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

TRUST AND VERIFICATION EVIDENCE

Loading Trust v2 evidence…

Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

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