A side-by-side look at the Rag Kb and Graphlit MCP Server MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Rag Kb for knowledge & memory work over a hosted endpoint; choose Graphlit MCP Server for knowledge & memory as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Rag Kb when
You need dedicated capabilities in the Knowledge & Memory domain.
No tool names declared yet. Check the project README from the listing page.
Graphlit MCP Server tools
No tool names declared yet. Check the project README from the listing page.
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Rag Kb is categorized under Knowledge & Memory and uses a remote HTTP/SSE transport. Graphlit MCP Server belongs to Knowledge & Memory and uses a local stdio subprocess. Pick Rag Kb for knowledge & memory work and Graphlit MCP Server for knowledge & memory.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Rag Kb has no declared pricing — check the project's own site. Graphlit MCP Server is bring-your-own-key: usage is billed by the API provider you supply a key for. Auth: other. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add fish827-08-rag-kb and graphlit-mcp-server as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Rag Kb has a quality signal of 51/100 (Good) with 1 views, 0 installs and 3 GitHub stars. Graphlit MCP Server has 57/100 (Good) with 6 views, 0 installs and 377 GitHub stars.