This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
A tabella was ancient Rome's wax writing tablet — the original real-time, rewritable record.
Tabella is an open-source, AI-native mini-CRM: a flexible data model, a 100k-row table that feels instant, live multi-client sync, and an MCP server that lets AI agents like Claude operate on the data — with agent edits visible in the UI in real time.
Status: 🚧 Cycle 3 of 7 complete — the differentiator is banked: Claude operates the live dataset via MCP. See docs/PRD.md and the CHANGELOG.
Live demo: https://web-production-13ef0a.up.railway.app
Live API: https://server-production-686b5.up.railway.app/api/objects · health
Try it: deals filtered + sorted over 100k records — p95 ~50ms deployed, ~5ms local
pnpm install
docker compose up -d db # local Postgres 16 on :5433
pnpm migrate # apply migrations (node-pg-migrate)
pnpm dev # boots the API server (apps/server) and web app (apps/web)API: http://localhost:3001 — try curl http://localhost:3001/api/objects
Requires Node >= 22, pnpm >= 10, and Docker (for the database).
Related MCP server: Lofty MCP Server
apps/server Fastify API + WebSocket hub (Node, TypeScript)
apps/web React web app (Vite, TanStack Query/Virtual)
apps/mcp MCP server (stdio) — agents operate via the same REST API
packages/shared Zod schemas + WS message types shared by all threeTabella ships an MCP server (apps/mcp, stdio transport)
with five tools that are thin wrappers over the same REST API the web app uses:
list_objects (schema discovery), query_records (filter/sort/cursor, with total for
counting questions), get_record, create_record, update_record. Agent mutations go
through the exact same validation and (from Cycle 5) fan out over the same WebSocket as
human edits.
Point any MCP host — Claude Desktop, Claude Code, Cursor — at the deployed API:
// claude_desktop_config.json (~/Library/Application Support/Claude/ on macOS)
{
"mcpServers": {
"tabella": {
"command": "node",
"args": ["/absolute/path/to/tabella/apps/mcp/dist/index.js"],
"env": {
"TABELLA_API_URL": "https://server-production-686b5.up.railway.app"
}
}
}
}(Requires a one-time git clone + pnpm install && pnpm build for dist/; the absolute
node path matters if you use nvm — hosts don't inherit your shell PATH.)
Then ask Claude things like:
"How many deals are in Negotiation?" → list_objects → query_records → answers from total
"Create a deal at Northwind, stage Proposal, value 40k" → a real record, validated against the attribute catalog, visible immediately in the web app
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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This server cannot be deployed
Query and update Teable records, manage tables, and access the Teable API with AI agents.
CRM, inbox, meetings, revenue intelligence, analytics and automations for AI agents.
Agent-native CRM. 25 tools — contacts, deals, sequences, enrichment waterfall, audit log.
Teable is an AI spreadsheet for business that combines a familiar spreadsheet interface with a structured database. Its remote MCP server lets AI agents inspect project and table structure, read and update records, and access the Teable API through OAuth with existing project permissions. Website: [teable.ai](https://teable.ai)
