MCP Analytics
A statistical analysis and reporting platform that allows AI assistants to upload CSV data or connect live sources like GA4 and Google Search Console. It generates interactive HTML reports using re-runnable R scripts, providing statistical testing, regression, machine learning, and business analytics capabilities with AI insights and PDF export.
Endpoint and access
OAuth sign-in: the first time you connect, your client opens the vendor's own authorization prompt in a browser.
https://api.mcpanalytics.ai/mcp/api-keyWhat its tools do
27 tools, grouped by the hints the server advertises. Hints are self-declared, not verified behavior.
Read-only (20)
Checks and signals
Each line is separate evidence, not a trust score.
- Passed Endpoint answered the live check ·
- Passed Official MCP Registry namespace is tied to mcpanalytics.ai ·
- Passed Endpoint is on the registry namespace domain ·
- Availability 1 of 1 checks passed in 30 days
What you can do with it
- Perform statistical tests like t-tests, ANOVA, and chi-square
- Run regression models including Linear, Ridge, and Logistic
- Execute machine learning tasks such as Random Forest and K-Means
- Analyze business metrics like ROAS, churn prediction, and RFM segmentation
Source and maintenance
- Maintenance checked
Protocol and capabilities
- Server
- MCP Analytics 1.0.7
- MCP protocol negotiated in check
- 2024-11-05
- Tools
- 27 advertised
- Resources
- 0 advertised
- Resource templates
- Sign-in required
- Prompts
- 0 advertised
{
"tools": {
"listChanged": false
},
"prompts": {},
"resources": {}
}Server-provided instructions
Untrusted server output shown for inspection. It is not Koskamo guidance and is excluded from knowledge search.
Tools
27 advertised
account_link
Direct link to the right account page for anything not doable in chat: billing, browser upload, report management. Hand the user the link and guide them.
{
"type": "object",
"required": [],
"properties": {
"section": {
"enum": [
"home",
"billing",
"upgrade",
"create",
"upload",
"reports"
],
"type": "string",
"description": "Where to send the user"
}
}
}{
"readOnlyHint": true,
"openWorldHint": false,
"idempotentHint": true,
"destructiveHint": false
}about
Platform documentation and info: how it works (Answer, Analytics, Custom Analytics), usage.
{
"type": "object",
"required": [
"topic"
],
"properties": {
"topic": {
"type": "string",
"description": "Topic: platform, manual, connectors, or a docs section"
}
}
}{
"readOnlyHint": true,
"openWorldHint": false,
"idempotentHint": true,
"destructiveHint": false
}agent_advisor
AI help desk: which analysis fits your question, interpreting results, fixing errors. Multi-turn.
{
"type": "object",
"required": [
"question"
],
"properties": {
"question": {
"type": "string",
"description": "Your question or request"
}
}
}{
"readOnlyHint": true,
"openWorldHint": false,
"idempotentHint": true,
"destructiveHint": false
}datasets_upload
Get your data in. Pass `data` as an array of row objects to create the dataset immediately and get a dataset_ref ready for path_resolver; omit it to get an upload link for a file only the user can reach. Add replace_ref (uuid://ID:KEY) with data to REFRESH an existing dataset in place; schedules and tools holding that reference read the new data on their next run.
{
"type": "object",
"properties": {
"data": {
"type": "array",
"items": {
"type": "object"
},
"description": "Rows as an array of flat objects, creates the dataset in one call"
},
"expires_in": {
"type": "integer",
"default": 300,
"description": "Token expiration in seconds"
},
"replace_ref": {
"type": "string",
"description": "uuid://ID:KEY of an existing dataset to overwrite in place with `data` (the push/refresh mode)"
}
}
}{
"readOnlyHint": false,
"openWorldHint": false,
"idempotentHint": false,
"destructiveHint": false
}datasets_list
List and search your uploaded datasets, with fuzzy matching on name, description, and tags. Returns each dataset's uuid:// reference (the `usage` field) for use as dataset_ref in path_resolver and path_tool_run. The id alone ('uuid://dsv2_...') also works for your own datasets and the platform sample; `dataset_key` may be null for the sample, which is normal.
{
"type": "object",
"properties": {
"limit": {
"type": "integer",
"default": 20,
"description": "Max results"
},
"search": {
"type": "string",
"description": "Search by name, description, or tags"
}
}
}{
"readOnlyHint": true,
"openWorldHint": false,
"idempotentHint": true,
"destructiveHint": false
}discover_tools
Browse the analyses you can run: the ones you commissioned plus the platform Standard Library (prebuilt tools; each result tagged source:'own' or 'standard_library'). Plain-language match; no query lists everything, your own first. Nothing fits? Commission it with path_resolver.
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Plain-language search over your library + the Standard Library; omit to list everything"
}
}
}{
"readOnlyHint": true,
"openWorldHint": false,
"idempotentHint": true,
"destructiveHint": false
}tools_schema
Get an analysis's parameter schema. ALWAYS call before path_tool_run.
{
"type": "object",
"required": [
"tool_name"
],
"properties": {
"tool_name": {
"type": "string",
"description": "Name of the analysis"
}
}
}{
"readOnlyHint": true,
"openWorldHint": false,
"idempotentHint": true,
"destructiveHint": false
}review_estimate
The estimate as you review it WITH the user: the question as understood, the estimated answer (sample, marked), every place and its question, the page link, a review checklist. Before path_bespoke.
{
"type": "object",
"required": [
"estimate_id"
],
"properties": {
"estimate_id": {
"type": "string"
}
}
}{
"readOnlyHint": true,
"openWorldHint": false,
"idempotentHint": true,
"destructiveHint": false
}adjust_estimate
Apply the user's layout wishes to the estimate's page through the layout agent; a new named arrangement, nothing overwritten, no number changes.
{
"type": "object",
"required": [
"estimate_id",
"instructions"
],
"properties": {
"estimate_id": {
"type": "string"
},
"instructions": {
"type": "string",
"description": "What to change, in the user's words"
}
}
}{
"readOnlyHint": false,
"openWorldHint": false,
"idempotentHint": false,
"destructiveHint": false
}find_precedent
Before estimating: how did we answer this objective before, on this data or any data? Prior packages and library runs with their tools, mappings, bespoke module names, method and verdicts. Platform-wide, read-only.
{
"type": "object",
"required": [
"objective"
],
"properties": {
"k": {
"type": "integer",
"default": 10
},
"objective": {
"type": "string"
},
"dataset_ref": {
"type": "string"
}
}
}{
"readOnlyHint": true,
"openWorldHint": false,
"idempotentHint": true,
"destructiveHint": false
}check_tool_fit
Before naming a library tool: does it fit THIS dataset for THIS question? Column mapping, missing required inputs, method-fit verdict, the places it delivers. Read-only.
{
"type": "object",
"required": [
"tool_name",
"dataset_ref"
],
"properties": {
"objective": {
"type": "string"
},
"tool_name": {
"type": "string"
},
"dataset_ref": {
"type": "string"
}
}
}{
"readOnlyHint": true,
"openWorldHint": false,
"idempotentHint": true,
"destructiveHint": false
}package_status
Read an analytics package back: status, every run under it, the report link once delivered.
{
"type": "object",
"required": [
"package_id"
],
"properties": {
"package_id": {
"type": "string"
}
}
}{
"readOnlyHint": true,
"openWorldHint": false,
"idempotentHint": true,
"destructiveHint": false
}my_objects
List and search the objects you own across every question: the curated charts, tables and figures of each delivered package, grouped by objective.
{
"type": "object",
"properties": {
"limit": {
"type": "integer",
"default": 50
},
"query": {
"type": "string"
},
"include_dropped": {
"type": "boolean",
"default": false
}
}
}{
"readOnlyHint": true,
"openWorldHint": false,
"idempotentHint": true,
"destructiveHint": false
}build_status
Check a commissioned build in-chat: stage progress, queue position, rejection reason if the data didn't match the objective, honest ETA, report link when delivered.
{
"type": "object",
"required": [],
"properties": {
"pipeline_id": {
"type": "integer",
"description": "pipeline_id from a build (modify_analysis)"
},
"track_token": {
"type": "string",
"description": "Token from the tracking URL"
}
}
}{
"readOnlyHint": true,
"openWorldHint": false,
"idempotentHint": true,
"destructiveHint": false
}ask_library
Ask a question across all your delivered analyses: a synthesized answer with citations back to specific reports.
{
"type": "object",
"required": [
"question"
],
"properties": {
"question": {
"type": "string",
"description": "Plain-language question to answer from your report library"
}
}
}{
"readOnlyHint": true,
"openWorldHint": false,
"idempotentHint": true,
"destructiveHint": false
}reports_list
Your report library: every analysis delivered, with status and links. Pass semantic_query to search report content in plain language.
{
"type": "object",
"properties": {
"limit": {
"type": "integer",
"default": 10,
"description": "Max results"
},
"semantic_query": {
"type": "string",
"description": "Natural-language search over your reports' content"
}
}
}{
"readOnlyHint": true,
"openWorldHint": false,
"idempotentHint": true,
"destructiveHint": false
}warehouse
Query your org's data warehouse free: browse the catalog (tables with column roles + computed metrics), semantically find data, plain-language ask, or named templates. Requires warehouse enablement (business plans).
{
"type": "object",
"required": [
"action"
],
"properties": {
"query": {
"type": "string"
},
"action": {
"enum": [
"ask",
"query",
"queries",
"catalog",
"find"
],
"type": "string"
},
"params": {
"type": "object"
},
"question": {
"type": "string"
}
}
}{
"readOnlyHint": true,
"openWorldHint": false,
"idempotentHint": true,
"destructiveHint": false
}schedules
Standing re-runs of analyses you own: action='create' (weekly/monthly against a re-runnable data reference, connector:// or an https:// link; report emailed after each run), 'list', or 'cancel'.
{
"type": "object",
"required": [
"action"
],
"properties": {
"action": {
"enum": [
"create",
"list",
"cancel"
],
"type": "string",
"description": "What to do"
},
"cadence": {
"enum": [
"weekly",
"monthly"
],
"type": "string"
},
"tool_name": {
"type": "string",
"description": "create: the analysis to schedule"
},
"dataset_ref": {
"type": "string",
"description": "create: re-runnable reference (connector:// or https://)"
},
"schedule_id": {
"type": "integer",
"description": "cancel: from action='list'"
},
"column_mapping": {
"type": "object"
}
}
}{
"readOnlyHint": false,
"openWorldHint": false,
"idempotentHint": false,
"destructiveHint": true
}reports_view
Get a shareable browser link for a report, viewable without authentication.
{
"type": "object",
"required": [
"processing_id"
],
"properties": {
"processing_id": {
"type": "string",
"description": "Processing ID from path_tool_run / reports_list"
}
}
}{
"readOnlyHint": true,
"openWorldHint": false,
"idempotentHint": true,
"destructiveHint": false
}report_cards
Browse a delivered report's individual cards (charts, tables, insights) inline in chat.
{
"type": "object",
"required": [
"processing_id"
],
"properties": {
"processing_id": {
"type": "string",
"description": "The report's processing id, returned by path_tool_run or build_status"
}
}
}{
"readOnlyHint": true,
"openWorldHint": false,
"idempotentHint": true,
"destructiveHint": false
}path_resolver
Which path a question about data should take (reuse, rerun, answer, tool_run, estimate, bespoke, ask or none), with the reason, every path's score and time, and the ready input for the path it picks. Executes nothing and charges nothing.
{
"type": "object",
"$defs": {
"MetaEntry": {
"type": "object",
"title": "MetaEntry",
"required": [
"key"
],
"properties": {
"key": {
"type": "string",
"title": "Key",
"pattern": "^[a-z0-9_.-]+$",
"maxLength": 64,
"minLength": 1
},
"note": {
"anyOf": [
{
"type": "string",
"maxLength": 200
},
{
"type": "null"
}
],
"title": "Note",
"default": null
},
"used": {
"type": "boolean",
"title": "Used",
"default": true
},
"value": {
"title": "Value",
"default": null
},
"source": {
"enum": [
"stated",
"derived"
],
"type": "string",
"title": "Source",
"default": "stated"
}
},
"description": "One piece of metadata about a question (LAT-3752; operator 2026-10-04: \"the metadata should be a list\"). The list\nis OPEN: any key is accepted. `source` says who said it: `stated` (the caller) or `derived` (the server looked it up).\nA caller can only ever produce `stated` entries; entitlement keys are read only from `derived` (meta.RESERVED).",
"additionalProperties": false
}
},
"title": "Question",
"required": [
"objective"
],
"properties": {
"door": {
"enum": [
"account",
"mcp",
"mailroom",
"widget",
"api",
"internal"
],
"type": "string",
"title": "Door",
"default": "api"
},
"meta": {
"type": "array",
"items": {
"$ref": "#/$defs/MetaEntry"
},
"title": "Meta",
"maxItems": 32,
"description": "open list of {key, value}; the caller's entries are always `stated`"
},
"objective": {
"type": "string",
"title": "Objective",
"maxLength": 4000,
"minLength": 3,
"description": "the question, in the person's words"
},
"dataset_ref": {
"anyOf": [
{
"type": "string",
"maxLength": 512
},
{
"type": "null"
}
],
"title": "Dataset Ref",
"default": null,
"description": "absent = no data yet (the resolver asks for it)"
}
},
"description": "What arrives at path_resolver from any door, after the door's own adapter has normalised it.",
"additionalProperties": false
}{
"readOnlyHint": true,
"openWorldHint": false,
"idempotentHint": true,
"destructiveHint": false
}path_reuse
Hand back the report already delivered for this question on this data. Time: as path_resolver quotes.
{
"type": "object",
"title": "ReuseInput",
"required": [
"objective",
"dataset_ref"
],
"properties": {
"objective": {
"type": "string",
"title": "Objective",
"maxLength": 4000,
"minLength": 3,
"description": "the question, in the person's words"
},
"dataset_ref": {
"type": "string",
"title": "Dataset Ref",
"maxLength": 512,
"minLength": 1,
"description": "the dataset: the `usage` value from datasets_list (uuid://ID or uuid://ID:KEY), or its id, for a dataset the caller owns or the platform sample"
},
"resolution_id": {
"type": "integer",
"description": "The resolution_id from path_resolver's path_input. Pass path_input as given."
}
},
"description": "Hand back a report already delivered on this data for this question. Re-checked at execution, never trusted\nfrom the suggestion: a report deleted or no longer the caller's is refused, not served.",
"additionalProperties": false
}{
"readOnlyHint": true,
"openWorldHint": false,
"idempotentHint": true,
"destructiveHint": false
}path_rerun
Run a delivered analysis again, on its own dataset or a new one: the same tools and mappings, no rebuild. package_id may also be the person's own report link (a /rpt/ link or its rpt_ token) or estimate id (est_); it reruns their newest delivered package for it. Time: as path_resolver quotes.
{
"type": "object",
"title": "RerunInput",
"required": [
"package_id"
],
"properties": {
"package_id": {
"type": "string",
"title": "Package Id",
"maxLength": 128,
"minLength": 1,
"description": "A delivered package's id, or the person's own report link (/rpt/ link or rpt_ token) or estimate id (est_). Someone else's link is not found."
},
"dataset_ref": {
"anyOf": [
{
"type": "string",
"maxLength": 512
},
{
"type": "null"
}
],
"title": "Dataset Ref",
"default": null,
"description": "absent = the package's own dataset"
},
"resolution_id": {
"type": "integer",
"description": "The resolution_id from path_resolver's path_input. Pass path_input as given."
}
},
"description": "Run a delivered package again, on its own dataset or a new one. Same tools, same mappings; no rebuild.",
"additionalProperties": false
}{
"readOnlyHint": false,
"openWorldHint": false,
"idempotentHint": false,
"destructiveHint": false
}path_answer
A read of the data (a total, an average, a count, the top group), computed on every row, in this response. When the question is not a read it says so and names the next step. Time: as path_resolver quotes. No key yet? Call it with objective and data (a small table, up to 200 rows): a read of that table comes back now, nothing stored. Sign-in is needed to save, re-run, or ask for more than a read.
{
"type": "object",
"title": "AnswerInput",
"required": [
"objective"
],
"properties": {
"data": {
"type": "array",
"items": {
"type": "object"
},
"maxItems": 200,
"description": "WITHOUT A KEY: up to 200 rows pasted inline as flat objects, e.g. [{\"month\":\"Jan\",\"sales\":120}]. Use instead of dataset_ref."
},
"objective": {
"type": "string",
"title": "Objective",
"maxLength": 4000,
"minLength": 3,
"description": "the question, in the person's words"
},
"dataset_ref": {
"type": "string",
"title": "Dataset Ref",
"maxLength": 512,
"minLength": 1,
"description": "the dataset: the `usage` value from datasets_list (uuid://ID or uuid://ID:KEY), or its id, for a dataset the caller owns or the platform sample"
},
"resolution_id": {
"type": "integer",
"description": "The resolution_id from path_resolver's path_input. Pass path_input as given."
}
},
"description": "A read of the data computed on every row, in this response. Free. Abstains (immediate=false) when the question\nis not a read; it never guesses.",
"additionalProperties": false
}{
"readOnlyHint": true,
"openWorldHint": false,
"idempotentHint": true,
"destructiveHint": false
}path_tool_run
Run one or more tested library tools on this dataset, with charts and a written report. No custom build. Time: as path_resolver quotes.
{
"type": "object",
"title": "ToolRunInput",
"required": [
"objective",
"dataset_ref",
"tool_names"
],
"properties": {
"objective": {
"type": "string",
"title": "Objective",
"maxLength": 4000,
"minLength": 3,
"description": "the question, in the person's words"
},
"tool_names": {
"type": "array",
"items": {
"type": "string"
},
"title": "Tool Names",
"maxItems": 8,
"minItems": 1
},
"dataset_ref": {
"type": "string",
"title": "Dataset Ref",
"maxLength": 512,
"minLength": 1,
"description": "the dataset: the `usage` value from datasets_list (uuid://ID or uuid://ID:KEY), or its id, for a dataset the caller owns or the platform sample"
},
"estimate_id": {
"anyOf": [
{
"type": "string",
"maxLength": 128
},
{
"type": "null"
}
],
"title": "Estimate Id",
"default": null
},
"resolution_id": {
"type": "integer",
"description": "The resolution_id from path_resolver's path_input. Pass path_input as given."
},
"column_mapping": {
"anyOf": [
{
"type": "object",
"additionalProperties": {
"type": "string"
}
},
{
"type": "null"
}
],
"title": "Column Mapping",
"default": null,
"description": "dataset column for each input the tool needs; absent = suggested from the data"
},
"idempotency_key": {
"anyOf": [
{
"type": "string",
"maxLength": 128,
"minLength": 8
},
{
"type": "null"
}
],
"title": "Idempotency Key",
"default": null,
"description": "send one per run; a retry with the same key replays the first call instead of running it again"
},
"module_parameters": {
"anyOf": [
{
"type": "object"
},
{
"type": "null"
}
],
"title": "Module Parameters",
"default": null
}
},
"description": "One or more tested library tools on this dataset. One tool runs directly; several run as a library-only package\n(no custom build: that is path_bespoke).",
"additionalProperties": false
}{
"readOnlyHint": false,
"openWorldHint": false,
"idempotentHint": false,
"destructiveHint": false
}path_estimate
A rough answer over a sample and the layout of the full report, for the person to confirm before anything is ordered. Time: as path_resolver quotes.
{
"type": "object",
"title": "EstimateInput",
"required": [
"objective",
"dataset_ref"
],
"properties": {
"objective": {
"type": "string",
"title": "Objective",
"maxLength": 4000,
"minLength": 3,
"description": "the question, in the person's words"
},
"tool_names": {
"anyOf": [
{
"type": "array",
"items": {
"type": "string"
},
"maxItems": 8
},
{
"type": "null"
}
],
"title": "Tool Names",
"default": null
},
"dataset_ref": {
"type": "string",
"title": "Dataset Ref",
"maxLength": 512,
"minLength": 1,
"description": "the dataset: the `usage` value from datasets_list (uuid://ID or uuid://ID:KEY), or its id, for a dataset the caller owns or the platform sample"
},
"completeness": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"title": "Completeness",
"default": null
},
"resolution_id": {
"type": "integer",
"description": "The resolution_id from path_resolver's path_input. Pass path_input as given."
},
"layout_objective": {
"anyOf": [
{
"type": "string",
"maxLength": 2000
},
{
"type": "null"
}
],
"title": "Layout Objective",
"default": null
}
},
"description": "Free: a rough answer over a sample and the layout of the full report, for the person to confirm.",
"additionalProperties": false
}{
"readOnlyHint": false,
"openWorldHint": false,
"idempotentHint": false,
"destructiveHint": false
}path_bespoke
Order a custom analysis built for this data from a confirmed estimate, optionally with library tools alongside. Needs the person's yes and an idempotency key; a retry returns the first order. Time: as path_resolver quotes.
{
"type": "object",
"title": "BespokeInput",
"required": [
"estimate_id",
"idempotency_key"
],
"properties": {
"tool_names": {
"anyOf": [
{
"type": "array",
"items": {
"type": "string"
},
"maxItems": 8
},
{
"type": "null"
}
],
"title": "Tool Names",
"default": null,
"description": "library tools to run alongside the build"
},
"estimate_id": {
"type": "string",
"title": "Estimate Id",
"maxLength": 128,
"minLength": 1
},
"resolution_id": {
"type": "integer",
"description": "The resolution_id from path_resolver's path_input. Pass path_input as given."
},
"idempotency_key": {
"type": "string",
"title": "Idempotency Key",
"maxLength": 128,
"minLength": 8
},
"layout_objective": {
"anyOf": [
{
"type": "string",
"maxLength": 2000
},
{
"type": "null"
}
],
"title": "Layout Objective",
"default": null
}
},
"description": "PAID. The order that includes a custom build, from a CONFIRMED estimate only. The idempotency key makes a retry\nor a double click replay the first order instead of placing a second (research: Stripe, IETF idempotency draft).",
"additionalProperties": false
}{
"readOnlyHint": false,
"openWorldHint": false,
"idempotentHint": false,
"destructiveHint": false
}Prompts
0 advertised
Resources
0 advertised
30-day availability
Aggregated from read-only remote checks; this is not a tool-execution or security guarantee.
- Successful checks
- 1 of 1 (100%)
- Average latency
- 670 ms
- 95th percentile latency
- 670 ms
Maintenance history
Public check and source-refresh events. Editorial and ownership records remain private.
- · probe · passed · 670 ms · metadata changed · refuses unauthenticated resources/templates/list (HTTP 401)
Connect from your client
Each snippet registers the same endpoint; pick the client you use.
Claude Code
claude mcp add --transport http mcp-analytics https://api.mcpanalytics.ai/mcp/api-keyCodex
codex mcp add mcp-analytics --url https://api.mcpanalytics.ai/mcp/api-keyCursor
{
"mcpServers": {
"mcp-analytics": {
"url": "https://api.mcpanalytics.ai/mcp/api-key"
}
}
}Cline
{
"mcpServers": {
"mcp-analytics": {
"type": "streamableHttp",
"url": "https://api.mcpanalytics.ai/mcp/api-key",
"disabled": false
}
}
}VS Code
{
"servers": {
"mcp-analytics": {
"type": "http",
"url": "https://api.mcpanalytics.ai/mcp/api-key"
}
}
}Gemini CLI
gemini mcp add --transport http mcp-analytics https://api.mcpanalytics.ai/mcp/api-keyClaude Desktop
https://api.mcpanalytics.ai/mcp/api-keyWindsurf
{
"mcpServers": {
"mcp-analytics": {
"serverUrl": "https://api.mcpanalytics.ai/mcp/api-key"
}
}
}Let your agent find its tools
Find servers like MCP Analytics from your agent. Add Koskamo once to search the index for endpoints, access requirements, and client setup. Public discovery needs no key.
Other data and analytics servers
Do you run MCP Analytics?
Prove ownership with a DNS record, a well-known file, or your Official MCP Registry entry, and your edits publish immediately. Proofs are re-checked weekly; admins can still hide or remove a listing.