TASS MCP Server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@TASS MCP Serveranalyze 'this is great' with vader"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
TASS Community Edition
Text Analysis for Social Scientists: LIWC-style dictionary scoring over open lexicons: deterministic, provenance-first, driveable by humans (CLI) and by AI agents (MCP server). Apache-2.0, zero runtime dependencies, Node 18+.
TASS is built by SIM DAD LLC. This repository is the full
Community Edition: the scoring engine, the tass CLI, the MCP server, the minimal
local web GUI, and the reproducible-project container. The commercial GUI Edition
adds a no-code desktop workbench, the inferential statistics suite, publication
charts, and Excel/APA export on top of this exact engine; its methods, formulas,
citations, and R-benchmark reports are public even where its code is not.
Why researchers use it
Deterministic. Same inputs, byte-identical outputs, on every OS. CI enforces a cross-platform determinism hash. Reproducibility is a product claim, not a hope.
Provenance travels. Every scoring run writes a manifest with tool and engine versions, input SHA-256 hashes, and each lexicon's license, class, and citation: the block a methods section needs.
Licensing is mechanical. Everything bundled is verified commercial-ok. Restricted resources (NRC, LIWC, GI) are never bundled; your own imports of them are flagged academic-only in every run that touches them.
Trace every number.
tass exemplarsandtass kwicconnect any score back to quotable text.Open dictionaries, forever. Every TASS-native dictionary is CC-BY-4.0 or ODC-BY, citation required, commercial use welcome, and installable by name from the public registry (SIM-DAD/tass-lexicons).
Related MCP server: mhlabs-mcp-tools
Quick start
The fastest route is npm (Node 18+):
npm install -g @simdad/tass-cli
tass helpOr from this repository:
npm install && npm run build
node packages/tass-cli/bin/tass.js helpTo put the repo build on your PATH: on Windows run
powershell -File packages/tass-cli/scripts/install-cli.ps1; on macOS or Linux run
npm link inside packages/tass-cli. Then:
Score a CSV of documents against bundled sentiment lexicons:
tass score --input posts.csv --text-column text --lexicons vader,afinn --output scored.csvAnalyze a single text, no files involved:
tass analyze --text "What a wonderful day" --vader-rulesAuthor your own dictionary in a spreadsheet (tass template, fill it in, tass import-csv), install open ones by name (tass install politeness), archive any
run as a reproducible .tassproj (tass project save), and prove it reproduces
(tass project rerun).
For AI-driven analysis, tass mcp serves the whole engine as MCP tools over stdio.
AGENTS.md is the operating contract for agents.
Documentation
docs/METHODS.md: what TASS measures and how; read before reporting numbers.docs/API.md: the engine's semver contract.tass help <topic>: task-oriented help inside the CLI.
Contributing
See CONTRIBUTING.md (Apache-2.0, DCO sign-off, determinism and zero-dependency
rules). Dictionary contributions go to the registry repo.
Apache-2.0 © SIM DAD LLC. "TASS" is a SIM DAD LLC trademark; see NOTICE.
This server cannot be deployed
Maintenance
Related MCP Connectors
Structured analysis API and remote MCP tool for text, JSON records and numeric series.
MCP-native AI evaluation: rubric audits, eval suites, and proof reports for AI/LLM output.
Free OpenAI-compatible inference with signed provenance receipts and 3 focused MCP tools.
MCP server providing access to the Scorecard API to evaluate and optimize LLM systems.
Related MCP Servers
- AlicenseNot gradedqualityNot gradedmaintenanceProvides text analysis tools including TF-IDF document search and text profiling (sentiment, readability, keywords) for analyzing text corpora through structured MCP interfaces.BSD 3-Clause
- AlicenseNot gradedqualityDmaintenanceModular MCP server providing text preprocessing and NLP tools for AI agent ecosystems.MIT
- AlicenseNot gradedqualityDmaintenanceAlgorithmic text and NLP analysis server providing sentiment, readability, keyword extraction, language detection, stats, and more via REST and MCP.2 npmMIT
- FlicenseNot gradedqualityCmaintenanceProvides lightweight documentation review tools including issue detection, readability scoring, style checking, and document summarization for integration with MCP-compatible clients.-