INDIVIDUAL MCP TOOL

append_knowledge_base

Append content to a knowledge base — adds a new versioned document with the given content (searchable like any other doc).

kitforai.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://kitforai.com/api/mcp

No auth detected

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

{}

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

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

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

Codex

~/.codex/config.toml

[mcp_servers.kit-for-ai]
url = "https://kitforai.com/api/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "kit-for-ai": {
      "type": "http",
      "url": "https://kitforai.com/api/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: kit-for-ai
Remote MCP URL: https://kitforai.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": {
    "kit-for-ai": {
      "url": "https://kitforai.com/api/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "kit-for-ai": {
      "type": "http",
      "url": "https://kitforai.com/api/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "kit-for-ai",
  "transport": "streamable-http",
  "url": "https://kitforai.com/api/mcp"
}

MCP Inspector

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

convert_url — Fetch a document or web page by URL and convert it to clean Markdown (or structured JSON).
list_recent_conversions — List the user's most recent conversions (id, file name, status).
list_knowledge_bases — List the user's knowledge bases (named knowledge bases of converted documents), with each knowledge base's id, name, kind, and document count.
read_knowledge_base — Read every document in a knowledge base as one combined Markdown document — use this to give the model access to all docs in a category.
search_knowledge_base — Semantically search a knowledge base and get back the most relevant chunks (ranked by score) instead of the whole knowledge base — use this for large knowledge bases or targeted questions.
write_knowledge_base — Write content back into a knowledge base as a versioned document — use this to save notes, memories, or generated content the user can review and revert.
edit_knowledge_base — Correct an existing document in a knowledge base by replacing a specific piece of text — use this for targeted fixes instead of rewriting the whole document.
remember — Save a fact, preference, or piece of context to the user's persistent memory.