# Tabula MCP Server

> Tabula MCP Server — nikhilbhima-tabula-mcp. Use this tool when you need to share knowledge across multiple AI clients and eliminate repetitive queries. The Tabula MCP Server provides a shared memory layer, allowing users to save and recall durable facts, ensuring consistency and efficiency. It accepts facts as input and outputs recalled information, ideal for use cases requiring knowledge retention and reuse across different AI interactions.

Canonical page: https://skillsregistry.net/skills/nikhilbhima-tabula-mcp  
JSON: https://api.skillsregistry.net/v1/skills/nikhilbhima-tabula-mcp

## Description

A shared memory layer for AIs that lets users save durable facts and recall them across different AI clients, eliminating repetition.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/weerlwky2r)
- **Repository:** <https://github.com/nikhilbhima/tabula-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "nikhilbhima-tabula-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nikhilbhima-tabula-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nikhilbhima-tabula-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt