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Tablestakes logo
Health: ActiveRecent health check succeeded.Last checked 9/7/2026, 11:17:51 PM

Tablestakes

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).Visit Website

Read and edit HTML/Markdown tables in GitBook-synced documents via MCP tools.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "tablestakes": {
      "command": "uvx",
      "args": [
        "tablestakes"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

tablestakes

PyPI version Python versions CI License

An MCP server that gives LLMs clean, surgical access to tables trapped in messy HTML.

The Problem

Tools like GitBook, Notion exports, and CMS platforms collapse tables into single-line HTML when syncing to Markdown files. The result looks like this in your editor:

Code
<table><thead><tr><th width="520.11">Requirement</th><th width="122.07">Priority</th><th>Priority 1-2-3</th></tr></thead><tbody><tr><td><strong>1.1</strong> Agent sees only their Salesforce-assigned cases <strong>in the currently selected organization</strong> (case is "assigned" when SF <code>Case.OwnerId</code> matches the agent's linked SF user ID)...</td><td>Must</td><td>1</td></tr></tbody></table>

This is unreadable for humans and unreliable for LLMs. Models struggle to parse collapsed HTML tables, frequently hallucinate cell boundaries, and cannot edit them without corrupting the structure.

tablestakes fixes this. It sits between the LLM and the file, converting tables to clean pipe format on read and writing back in the original format on save β€” preserving GitBook compatibility, HTML attributes, and inline formatting.

What the LLM Sees

Discovery β€” scan a 26-table document in one call:

Code
26 tables

T0 pipe 5r 3c v:485f65f7b470 [Cross-Domain Dependencies]
  A:Integration | B:Source | C:Requirements

T2 gitbook 18r 3c v:77a9495fd328 [Case List]
  A:Requirement | B:Priority | C:Priority 1-2-3

T7 gitbook 3r 4c v:d9a9a45a370f [Attachments]
  A:Requirement | B:Priority | C:Dependency | D:Priority 1-2-3

Read β€” collapsed HTML becomes a clean pipe table:

Code
v:d9a9a45a370f gitbook 3r 4c [Attachments]
A:Requirement | B:Priority | C:Dependency | D:Priority 1-2-3
| Requirement | Priority | Dependency | Priority 1-2-3 |
| --- | --- | --- | --- |
| **5.1** View inbound attachments in-app... | Must | β€” | 1 |
| **5.2** Send outbound attachments... | Must | Blocked on SF API | 1 |
| **5.3** Attachment file size limits... | Should | β€” |  |

Write β€” surgical cell edit, version-checked:

Code
v:5749c94ffb1f

14 characters. The file is updated, GitBook HTML format preserved, width attributes intact.

Token Efficiency

Baseline: Claude Code's built-in Read + Edit tools operating on the same file. Measured on a synthetic 18-row, 4-column table with realistic requirement-style content (bold IDs, inline emphasis, mixed-length cells).

OperationRead + EdittablestakesSavings
list_tables (26 HTML tables)~28,400 tokens~2,500 tokens91%
read_table (18-row HTML)~1,100 tokens~690 tokens39%
read_table (18-row GFM)~780 tokens~690 tokens11%
Cell edit (18-row HTML)~35 tokens~27 tokens23%
Cell edit (18-row GFM)~99 tokens~27 tokens73%
10-edit workflow (HTML)~1,470 tokens~960 tokens35%

Where the savings come from:

  • Read (HTML): collapsed HTML tags (<td>, <tr>, <th>, <strong>, width="...") are pure overhead. Pipe tables carry the same information without markup. The Read tool also adds cat -n line-number prefixes.

  • Read (GFM): modest savings from stripping line-number prefixes and surrounding document context. The table content itself is already clean.

  • Write: the Edit tool requires old_string (enough context to be unique in the file) + new_string (the modified version), both generated as output tokens. For GFM, old_string is the entire row line (~190 chars). tablestakes needs only {"row": 0, "column": "B", "value": "Should"} (~18 tokens).

  • Discovery: without tablestakes, the LLM reads the entire file to find tables. list_tables returns a compact index β€” metadata + 1 preview row per table.

  • Compact pipe tables with no column padding. Per the ImprovingAgents benchmark, GFM pipe tables achieve the best token-to-accuracy ratio: 1.24x CSV cost at 51.9% QA accuracy, beating JSON (2.08x, 52.3%) and YAML (1.88x, 54.7%).

Experiment details

Tokenizer: tiktoken cl100k_base (GPT-4). Claude uses a different tokenizer, but relative comparisons hold. The benchmark script (script.py) constructs tables programmatically and generates tablestakes output using the actual converter code β€” no hardcoded strings.

Read baseline: simulate_read_tool() wraps file content in cat -n format (line-number prefix per line), matching what Claude Code's Read tool returns. The full file (document text + table) enters the LLM context.

Write baseline: for each cell edit, the script computes the minimum unique old_string by expanding leftward from the target <td> until the substring is unique in the file. new_string is the same context with the cell value replaced. This is a best-case scenario for the Edit tool β€” a human might include more context than the minimum.

list_tables baseline: 26 copies of an 18-row GitBook HTML table in a markdown document. Naive = Read the full file (~28k tokens). tablestakes = list_tables output with preview_rows=0..3:

preview_rowsTokensSavings
0 (metadata only)~1,23096%
1 (default)~2,53091%
2~3,51088%
3~4,42084%

Reproduce: uv run --with tiktoken python scripts/script.py

Quick Start

Claude Code:

Terminal
claude mcp add tablestakes -- uvx tablestakes

Codex CLI:

bash
codex mcp add tablestakes -- uvx tablestakes

Gemini CLI:

bash
gemini mcp add tablestakes -- uvx tablestakes

Or install from PyPI directly: pip install tablestakes

Other clients (Cursor, Windsurf, Claude Desktop)

Add the following JSON to your client's MCP config file:

config.json
{
  "mcpServers": {
    "tablestakes": {
      "command": "uvx",
      "args": ["tablestakes"]
    }
  }
}
ClientConfig file
Cursor.cursor/mcp.json
Windsurf~/.codeium/windsurf/mcp_config.json
Claude Desktopclaude_desktop_config.json

Tools

Discovery & Read

ToolPurpose
list_tables(file_path, preview_rows=1)Scan file, return all tables with metadata + preview
read_table(file_path, table_index)Full table normalized to pipe format + version hash

Cell, Row & Column Operations

ToolPurpose
update_cells(file_path, table_index, version, updates)Batch {row, column, value} patches
insert_row(file_path, table_index, version, position, values)Insert row at position (-1 to append)
delete_row(file_path, table_index, version, row_index)Remove row by index
insert_column(file_path, table_index, version, name, ...)Insert column with default value
delete_column(file_path, table_index, version, column)Remove column
rename_column(file_path, table_index, version, old_name, new_name)Rename header
replace_table(file_path, table_index, version, new_content)Full table replacement from pipe input
create_table(file_path, content, position, format)Create new table from pipe input (default: HTML)

All write tools require a version hash from read_table β€” optimistic concurrency that prevents stale overwrites without locks.

Supported Table Formats

FormatReadWriteRound-trip
GFM pipe tablesPass-throughIn-place editLossless
GitBook collapsed HTMLHTML β†’ pipePipe β†’ collapsed HTMLPreserves width, data-*, inline formatting
General HTML tablesHTML β†’ pipe or pretty HTMLReconstructs HTMLPreserves structure

While GitBook is the primary motivation, tablestakes works with any Markdown document containing HTML tables β€” CMS exports, Notion dumps, wiki migrations, or hand-written HTML in .md files.

Column Addressing

Columns can be referenced by:

  • Letter: "A", "B", "AA" (bijective base-26, like Excel)
  • Name: "Priority" (must be unique)
  • Composite: "B:Priority" (for disambiguation)
  • Index: "0", "1" (0-based)

Development

bash
make init      # First-time setup: venv + deps + pre-commit hooks
make check     # All checks: format + lint + typecheck + test
make test      # Run tests only
make test-cov  # Tests with coverage report

License

Apache-2.0


mcp-name: io.github.oborchers/tablestakes

Read the full README β†’View source on GitHub β†’

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Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Tablestakes

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "tablestakes": { "command": "npx", "args": ["-y", "tablestakes"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimePython
Last updatedSep 7, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
35Quality signal: Fair Β· 35/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools15/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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