Server data from the Official MCP Registry
Cross-AI personal memory. Save once in ChatGPT, recall in Claude, Mistral, Grok, or any MCP client.
Cross-AI personal memory. Save once in ChatGPT, recall in Claude, Mistral, Grok, or any MCP client.
Remote endpoints: streamable-http: https://www.tabula360.com/api/mcp/mcp
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Requires authentication · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-nikhilbhima-tabula": {
"url": "https://www.tabula360.com/api/mcp/mcp"
}
}
}From the project's GitHub README.
One memory. Every AI.
Tabula is a shared memory layer for your AIs. Tell Claude once, and ChatGPT already knows. Connected AIs save the durable facts you share (who you are, what you're building, how you like to work) and recall them in any other AI, so you never re-explain yourself.
This repo documents Tabula's hosted MCP server and how to connect it from any MCP client.
| URL | https://www.tabula360.com/api/mcp/mcp |
| Transport | Streamable HTTP |
| Auth | OAuth 2.1 (web clients) or Bearer token (CLIs and IDEs) |
Sign up at tabula360.com, then get your access token on the Connect page. The token is shown once, treat it like a password.
| Tool | What it does |
|---|---|
save_memory | Save a durable fact, preference, or decision |
search_memory | Semantic search across everything saved |
list_memories | Browse saved memories |
update_memory | Correct or refresh an existing memory |
delete_memory | Remove a memory for good |
Web clients connect as a custom connector with OAuth. Follow the step-by-step guide.
claude mcp add --transport http tabula \
https://www.tabula360.com/api/mcp/mcp \
--header "Authorization: Bearer YOUR_TOKEN"
Add to ~/.cursor/mcp.json (or .cursor/mcp.json in a project):
{
"mcpServers": {
"tabula": {
"url": "https://www.tabula360.com/api/mcp/mcp",
"headers": {
"Authorization": "Bearer ${env:TABULA_MCP_TOKEN}"
}
}
}
}
Add to .vscode/mcp.json. VS Code uses servers and prompts for the token via inputs:
{
"servers": {
"tabula": {
"type": "http",
"url": "https://www.tabula360.com/api/mcp/mcp",
"headers": { "Authorization": "Bearer ${input:tabula-token}" }
}
},
"inputs": [
{ "type": "promptString", "id": "tabula-token", "description": "Tabula token", "password": true }
]
}
Add to ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": {
"tabula": {
"serverUrl": "https://www.tabula360.com/api/mcp/mcp",
"headers": {
"Authorization": "Bearer ${env:TABULA_MCP_TOKEN}"
}
}
}
}
Add to ~/.codex/config.toml:
[mcp_servers.tabula]
url = "https://www.tabula360.com/api/mcp/mcp"
bearer_token_env_var = "TABULA_MCP_TOKEN"
Add to ~/.vibe/config.toml, with TABULA_MCP_TOKEN in ~/.vibe/.env:
[[mcp_servers]]
name = "tabula"
transport = "http"
url = "https://www.tabula360.com/api/mcp/mcp"
[mcp_servers.auth]
type = "static"
api_key_env = "TABULA_MCP_TOKEN"
Memories are isolated per account with row-level security, and never sold or shared. You can view, edit, export, or delete everything at any time. Privacy policy.
Free during beta, no card required.
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