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Talk2Data InsightGenius

REMOTE · SPSS.INSIGHTGENIUS.IO

Survey data analysis: crosstabs with significance, ANOVA, correlation, Excel exports.

Available components

remote · spss.insightgenius.io 0
0 this week 0 Trust /100

Last scanned (21 hours ago)

Scores higher than 0% of remote servers

Reachable. Last reached 27 Sep 2026.

Category Data and Analytics

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →

Endpoint Security0
  • TLS not yet verified: the listed URL is a template whose api_key variable has no value or default, so there was no address for us to check.Unverified
  • Authorisation not yet verified: the listed URL is a template whose api_key variable has no value or default, so there was no address for us to check.Unverified
  • HTTPS not yet verified: the listed URL is a template whose api_key variable has no value or default, so there was no address for us to check. View diagnostics → Unverified
  • HSTS not yet verified: the listed URL is a template whose api_key variable has no value or default, so there was no address for us to check.Unverified
  • DNSSEC not yet verified: the listed URL is a template whose api_key variable has no value or default, so there was no address for us to check.Unverified
Transport & Reachability0
Schema Quality & AI Usability0
  • Schema not yet verified: we couldn't read the endpoint's schema, or could read only part of its tool list.Unverified
Stability & Change Management0
  • Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage0
  • Tool coverage not yet verified: we couldn't read the endpoint's tools, or could read only part of the list.Unverified
Tool Safety0
  • Tool safety not yet verified: we couldn't read the endpoint's tools, or could read only part of the list.Unverified
Capabilities0
  • Capabilities not yet verified: we couldn't read the endpoint's capabilities.Unverified

Unverified: 7 categories

Categories scored 0 because we could not verify them: authentication we do not have, an unreachable endpoint, or not enough scan history. We only credit what we can confirm.

Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 28 Sept 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 26 Sept 26 0
    • Endpoint reachability: reachable → not serving MCP ▼ security
  • 25 Sept 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 24 Sept 26 0
    • Authorization: unverified → partial ▲ security
    • Injection markers: unverified → pass ▲ security
    • Stability: unverified → pass ▲ security
    • Schema quality: unverified → fail ▼ functional
    • Endpoint reachability: not serving MCP → reachable ▲ functional
    • Schema quality: 434 → 272 ▲ functional
    • Tool coverage: unverified → 100 ▲ functional
    • MCP protocol: unverified → pass ▲ functional
    • Schema quality: excellent → good functional
    • This server's schema is too large to store in full, so we cannot compare its tools day to day functional
  • 23 Sept 26 0
    • Endpoint reachability: reachable → not serving MCP ▼ security
    • Stability: fail → unverified ▼ security
    • Capabilities: pass → unverified ▼ functional
  • 22 Sept 26 0
    • Stability: unverified → fail ▼ security
    • Endpoint reachability: not serving MCP → reachable ▲ functional
    • MCP protocol: unverified → pass ▲ functional
    • This server's schema is too large to store in full, so we cannot compare its tools day to day functional
  • 19 Sept 26 0
    • Endpoint reachability: reachable → not serving MCP ▼ security
    • Stability: fail → unverified ▼ security
    • Capabilities: pass → unverified ▼ functional
  • 18 Sept 26 0
    • Stability: unverified → fail ▼ security
    • Endpoint reachability: not serving MCP → reachable ▲ functional
    • MCP protocol: unverified → pass ▲ functional
    • This server's schema is too large to store in full, so we cannot compare its tools day to day functional
Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 4 Nov 2026 · Probed https://spss.insightgenius.io/mcp/sse?api_key={api_key}

Transports 1 probe
Transport URL Outcome Status Location
http (plaintext) http://spss.insightgenius.io/mcp/sse?api_key={api_key} Inconclusive
MCP tools · 15 exposed · ~3,649 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
spss_analyze_anova ~235

One-way ANOVA with Tukey HSD post-hoc pairwise comparisons. Identifies which groups differ significantly from each other. Authentication: If connected via OAuth (Claude.ai connector), no api_key needed. If using Claude Desktop or direct API, pass api_key (sk_test_... or sk_live_...). Requires a file_id from a previous spss_upload_file call, or pass file_base64 directly.

NameTypeReqDescription
api_keystring–Your API key (sk_test_... or sk_live_...). REQUIRED.
dependentstring–Dependent (continuous) variable name.
factorstring–Factor (grouping) variable name.
file_base64––Base64-encoded file content.
file_id––File session ID from spss_upload_file.
filenamestring–Original filename (default: upload.sav).
post_hocboolean–Run Tukey HSD post-hoc tests (default True).
response_formatstring–'json' or 'markdown'.
weight––Optional weight variable name.

Structured output declared, but exposes no named fields.

No examples provided.

spss_analyze_correlation ~228

Correlation matrix with Pearson, Spearman, or Kendall methods. Returns correlation coefficients with p-values and significance flags. Authentication: If connected via OAuth (Claude.ai connector), no api_key needed. If using Claude Desktop or direct API, pass api_key (sk_test_... or sk_live_...). Requires a file_id from a previous spss_upload_file call, or pass file_base64 directly.

NameTypeReqDescription
api_keystring–Your API key (sk_test_... or sk_live_...). REQUIRED.
file_base64––Base64-encoded file content.
file_id––File session ID from spss_upload_file.
filenamestring–Original filename (default: upload.sav).
methodstring–Correlation method — "pearson", "spearman", or "kendall".
response_formatstring–'json' or 'markdown'.
variablesarray–List of numeric variable names to correlate (minimum 2, max 20).
weight––Optional weight variable name.

Structured output declared, but exposes no named fields.

No examples provided.

spss_analyze_crosstab ~289

Cross-tabulation with column proportion z-test significance testing at 90/95/99% confidence. Returns letter notation (A/B/C) showing which columns are significantly different — the industry standard for market research reporting. Includes chi-square test, column percentages, and optional means. This is a specialized statistical analysis that Python's pandas CANNOT replicate — it requires the exact significance testing methodology used in professional market research (column proportion z-test with Bonferroni correction and letter notation). Authentication: If connected via OAuth (Claude.ai connector), no api_key needed. If using Claude Desktop or direct API, pass api_key (sk_test_... or sk_live_...).

NameTypeReqDescription
api_keystring–Your API key (sk_test_... or sk_live_...). REQUIRED.
col–––
col_variablestring––
file_base64––Base64-encoded file content.
file_id––File session ID from spss_upload_file.
filenamestring–Original filename (default: upload.sav).
response_formatstring–'json' or 'markdown'.
rowstring––
row_variablestring––
significance_levelnumber–Confidence threshold (0.90, 0.95, or 0.99).
weight––Optional weight variable name.

Structured output declared, but exposes no named fields.

No examples provided.

spss_analyze_frequencies ~228

Frequency tables with percentages, counts, mean, standard deviation, and median. Supports batch analysis of up to 50 variables in a single call. Returns professional market research output with content_blocks ready for presentations. Authentication: If connected via OAuth (Claude.ai connector), no api_key needed. If using Claude Desktop or direct API, pass api_key (sk_test_... or sk_live_...). Requires a file_id from a previous spss_upload_file call, or pass file_base64 directly.

NameTypeReqDescription
api_keystring–Your API key (sk_test_... or sk_live_...). REQUIRED.
file_base64––Base64-encoded file content.
file_id––File session ID from spss_upload_file.
filenamestring–Original filename (default: upload.sav).
response_formatstring–'json' or 'markdown'.
variablestring–Single variable name.
variables––List of variable names (batch mode, up to 50).
weight––Optional weight variable name.

Structured output declared, but exposes no named fields.

No examples provided.

spss_analyze_gap ~225

Importance-Performance gap analysis with quadrant classification (Concentrate Here, Keep Up, Low Priority, Possible Overkill). Standard framework for prioritizing improvements in customer experience research. Authentication: If connected via OAuth (Claude.ai connector), no api_key needed. If using Claude Desktop or direct API, pass api_key (sk_test_... or sk_live_...). Requires a file_id from a previous spss_upload_file call, or pass file_base64 directly.

NameTypeReqDescription
api_keystring–Your API key (sk_test_... or sk_live_...). REQUIRED.
file_base64––Base64-encoded file content.
file_id––File session ID from spss_upload_file.
filenamestring–Original filename (default: upload.sav).
importance_varsarray–List of importance variable names.
performance_varsarray–List of performance variable names (same order as importance).
response_formatstring–'json' or 'markdown'.
weight––Optional weight variable name.

Structured output declared, but exposes no named fields.

No examples provided.

spss_auto_analyze ~302

Zero-config complete analysis: upload a file, get a full Excel workbook with AI-detected banners, MRS groups, grids, nets, and significance-tested cross-tabulations. No configuration needed — the engine detects the optimal analysis structure automatically. Returns a download URL for the Excel file (valid 5 minutes) plus a structured summary with content_blocks for presentations. Authentication: If connected via OAuth (Claude.ai connector), no api_key needed. If using Claude Desktop or direct API, pass api_key (sk_test_... or sk_live_...). Requires a file_id from a previous spss_upload_file call, or pass file_base64 directly.

NameTypeReqDescription
api_keystring–Your API key (sk_test_... or sk_live_...). REQUIRED.
file_base64––Base64-encoded file content.
file_id––File session ID from spss_upload_file.
filenamestring–Original filename (default: upload.sav).
include_meansboolean–Include means with T-test (default True).
max_bannersinteger–Maximum number of banner variables to use (default 3).
output_modestring–Output mode — "multi_sheet" or "single_sheet".
response_formatstring–'json' or 'markdown'.
significance_levelnumber–Confidence threshold (0.90, 0.95, 0.99).

Structured output declared, but exposes no named fields.

No examples provided.

spss_create_tabulation ~465

Professional Excel tabulation with significance letters, nets, means, MRS groups, and Grid/Battery summaries. Publication-ready output matching the format used by market research agencies worldwide. Generates a professional .xlsx workbook: - Summary sheet: column legend (letter -> label) + stub index - One sheet per stub variable with column percentages + significance letters (A/B/C) - Column bases (N), Top/Bottom 2 Box nets, means with T-test significance - Download URL (5-min TTL) for easy sharing Authentication: If connected via OAuth (Claude.ai connector), no api_key needed. If using Claude Desktop or direct API, pass api_key (sk_test_... or sk_live_...). Requires a file_id from a previous spss_upload_file call, or pass file_base64 directly.

NameTypeReqDescription
api_keystring–Your API key (sk_test_... or sk_live_...). REQUIRED.
auto_netsboolean–Derive Top/Bottom 2 Box from the semantic dossier for every scale the spec does not already name.
bannerstring–Single banner variable (v1 compat).
banners––List of banner variables (v2, preferred).
custom_groups––Custom break definitions.
file_base64––Base64-encoded file content.
file_id––File session ID from spss_upload_file.
filenamestring–Original filename (default: upload.sav).
grid_groups––Grid/battery summary definitions.
include_meansboolean–Add means row with T-test significance.
include_total_columnboolean–Include Total as first column.
mrs_groups––MRS group definitions.
nets––Net definitions per stub.
output_modestring–'multi_sheet' or 'single_sheet'.
response_formatstring–'json' or 'markdown'.
significance_levelnumber–Confidence threshold (0.90, 0.95, 0.99).
stubs––List of stub variable names, or null for all.
titlestring–Report title in the Summary sheet.
weight––Optional weight variable name.

Structured output declared, but exposes no named fields.

No examples provided.

spss_describe_variable ~199

Deep profile of specific variables: distribution, labels, missing values, statistics. Use this to understand a specific question/variable before running cross-tabulations. Authentication: If connected via OAuth (Claude.ai connector), no api_key needed. If using Claude Desktop or direct API, pass api_key (sk_test_... or sk_live_...). Requires a file_id from a previous spss_upload_file call, or pass file_base64 directly.

NameTypeReqDescription
api_keystring–Your API key (sk_test_... or sk_live_...). REQUIRED.
file_base64––Base64-encoded file content.
file_id––File session ID from spss_upload_file.
filenamestring–Original filename (default: upload.sav).
response_formatstring–'json' or 'markdown'.
variablestring–Single variable name.
variables––List of variable names.

Structured output declared, but exposes no named fields.

No examples provided.

spss_export_data ~240

Convert uploaded data file to xlsx, csv, dta, or parquet format. Supports applying value labels and including a metadata sheet. Authentication: If connected via OAuth (Claude.ai connector), no api_key needed. If using Claude Desktop or direct API, pass api_key (sk_test_... or sk_live_...). Requires a file_id from a previous spss_upload_file call, or pass file_base64 directly.

NameTypeReqDescription
api_keystring–Your API key (sk_test_... or sk_live_...). REQUIRED.
apply_labelsboolean–Replace numeric codes with value labels (default True).
file_base64––Base64-encoded file content.
file_id––File session ID from spss_upload_file.
filenamestring–Original filename (default: upload.sav).
formatstring–Output format (alternative name). Same options.
include_metadata_sheetboolean–Add a variable-labels sheet to Excel output (default True).
target_formatstring–Output format. "xlsx", "csv", "dta", or "parquet".

Structured output declared, but exposes no named fields.

No examples provided.

spss_export_powerbi ~324

Export an uploaded file as a Power BI-ready ZIP with auto-generated DAX measures. The ZIP contains: - `data/survey_data.csv` — wide-format data (one row per respondent) - `metadata/variables.csv` — variable names, labels, semantic types - `metadata/value_labels.csv` — code -> label dimension table - `dax/*.dax` — per-semantic-type measure files (binary, ordinal, interval, NPS) - `README.md` — Power BI Desktop import walkthrough + 5 Visual Recipes DAX measures are generated based on each variable's semantic type (BINARY gets Pct_Yes, ORDINAL gets Mean/Median/T2B/B2B, INTERVAL gets Mean/StdDev/Min/Max, 0-10 scales get NPS). Authentication: If connected via OAuth (Claude.ai connector), no api_key needed. If using Claude Desktop or direct API, pass api_key (sk_test_... or sk_live_...).

NameTypeReqDescription
api_keystring–Your API key (sk_test_... or sk_live_...). REQUIRED.
file_base64––Base64-encoded file content (alternative to file_id).
file_id––File session ID from spss_upload_file.
filenamestring–Original filename (default: upload.sav).
package_namestring–Prefix used inside the ZIP and for the download filename.
table_namestring–The Power BI table name every DAX measure will reference.

Structured output declared, but exposes no named fields.

No examples provided.

spss_get_metadata ~209

Get comprehensive metadata for an uploaded data file: variable names, types, labels, value labels, AI-detected banner variables, MRS groups, grid/battery variables, and suggested nets. Returns structured survey intelligence that goes far beyond what pandas.describe() provides. Authentication: If connected via OAuth (Claude.ai connector), no api_key needed. If using Claude Desktop or direct API, pass api_key (sk_test_... or sk_live_...). Requires a file_id from a previous spss_upload_file call, or pass file_base64 directly.

NameTypeReqDescription
api_keystring–Your API key (sk_test_... or sk_live_...). REQUIRED.
file_base64––Base64-encoded file content (fallback if no file_id).
file_id––File session ID from spss_upload_file (preferred).
filenamestring–Original filename (default: upload.sav).
response_formatstring–'json' or 'markdown'.

Structured output declared, but exposes no named fields.

No examples provided.

spss_get_server_info ~63

Get Talk2Data InsightGenius server status, version, available tools, and plan limits. This is the only tool that does NOT require an api_key. Use it to verify connectivity before other operations, or to check what analysis capabilities are available.

Input schema present but exposes no named parameters.

Structured output declared, but exposes no named fields.

No examples provided.

spss_get_started ~108

Get started with Talk2Data InsightGenius. Returns setup instructions, available analysis tools, and a quick-start guide. Call this tool when: - The user asks to analyze a data file and you haven't used Talk2Data before in this conversation - You need to understand what analysis capabilities are available - The user asks "what can Talk2Data do?" or "how do I use this?" - You don't have the user's API key yet This tool requires NO authentication.

Input schema present but exposes no named parameters.

Structured output declared, but exposes no named fields.

No examples provided.

spss_summarize_satisfaction ~286

Compact satisfaction summary: Top 2 Box (T2B), Bottom 2 Box (B2B), and Mean for scale variables. The standard KPI format used in market research reporting. Authentication: If connected via OAuth (Claude.ai connector), no api_key needed. If using Claude Desktop or direct API, pass api_key (sk_test_... or sk_live_...). Requires a file_id from a previous spss_upload_file call, or pass file_base64 directly.

NameTypeReqDescription
api_keystring–Your API key (sk_test_... or sk_live_...). REQUIRED.
bottom_box––Bottom Box values (e.g., [1, 2]).
file_base64––Base64-encoded file content.
file_id––File session ID from spss_upload_file.
filenamestring–Original filename (default: upload.sav).
response_formatstring–'json' or 'markdown'.
scale––Scale type — "5pt"/"1-5", "7pt"/"1-7", "10pt"/"1-10", or None for auto.
top_box––Top Box values (e.g., [4, 5]).
variablesarray–List of satisfaction variable names.
weight––Optional weight variable name.

Structured output declared, but exposes no named fields.

No examples provided.

spss_upload_file ~248

Get a file_id for analysis. Users upload files via the web UI, not through this tool. IMPORTANT — How file upload works: 1. Ask the user to go to https://spss.insightgenius.io/upload 2. They drag & drop their file there and get a file_id (e.g., "abc123") 3. They paste the file_id back in chat 4. You use that file_id in all subsequent tool calls (spss_get_metadata, spss_analyze_frequencies, etc.) DO NOT attempt to encode files as base64. DO NOT use file_base64. Always use the upload URL. If the user already has a file_id, just pass it to validate the session. Sessions last 30 minutes (sliding TTL — refreshed on each use). Authentication: OAuth (Claude.ai) = no api_key needed. Claude Desktop = pass api_key.

NameTypeReqDescription
api_keystring–API key (sk_test_... or sk_live_...). Optional if connected via OAuth.
file_id––File ID from https://spss.insightgenius.io/upload. Ask user if you don't have one.

Structured output declared, but exposes no named fields.

No examples provided.

Install

How do I install the Talk2Data InsightGenius MCP server?

Talk2Data InsightGenius is a hosted endpoint at https://spss.insightgenius.io/mcp/sse?api_key={api_key}, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · spss.insightgenius.io

# add to Claude Code
claude mcp add --transport http quack2025-talk2data-insightgenius 'https://spss.insightgenius.io/mcp/sse?api_key={api_key}'
Common questions

What is the Talk2Data InsightGenius MCP server?

Talk2Data InsightGenius is an MCP server listed in the public MCP registry as io.github.quack2025/talk2data-insightgenius. Survey data analysis: crosstabs with significance, ANOVA, correlation, Excel exports. This page covers its hosted endpoint (https://spss.insightgenius.io/mcp/sse?api_key={api_key}).

Is the Talk2Data InsightGenius MCP server safe to use?

Talk2Data InsightGenius scores 0 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the Talk2Data InsightGenius MCP server expose?

Talk2Data InsightGenius exposes 15 tools: spss_get_started, spss_upload_file, spss_get_metadata, spss_get_server_info, spss_describe_variable, and 10 more. Their descriptions and schemas cost roughly 3,649 tokens of context every time the server is loaded.

Does the Talk2Data InsightGenius MCP server require authentication?

Its publisher declares no required credentials for Talk2Data InsightGenius. We have not been able to confirm that against the live endpoint, and a server can require authorisation without declaring it here.

Is the Talk2Data InsightGenius MCP server still maintained?

Talk2Data InsightGenius is still listed as active in the MCP registry. We last reached this channel on 27 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.