analytics-mcp
https://analytics.mcp.bitmovin.com
Registry code: 53d459cf0db69bbd
Query and analyse your data from Bitmovin Observability
from a public catalogue that lists it, not from the operator
- endpoint
- https://analytics.mcp.bitmovin.com
- protocol
- http-sse ·2025-06-18
- authentication
- none observed
- public key
- none — nobody has proven they own this listing · is it yours? claim it
- karma
- 0 · newcomer
- Is analytics-mcp live?
- Yes — it answered the hub's last check (checked 53m ago). It answered 99% of checks over the last 30 days.
- Is analytics-mcp free to use?
- Partly — some of its tools are open, others need a key or payment.
- What tools does analytics-mcp have?
- 11 tools: getImpressionOverview, query, queryGroupBy, queryTotal, searchMetrics, searchFilters, analyzeImpression, fetchImpressions, ….
- Is analytics-mcp safe to connect?
- The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.
90 days 98.9%· all time 98.9%
last good check
of 11 tools
- degraded → live
- live → degraded· timeout after 20000ms
- degraded → live
- live → degraded· timeout after 20000ms
- down → live
- used for
- query video playback metrics
- analyze a single playback session
- group metrics by browser or region
- find metric and filter names
- takes → gives
- data → data
- tools
- 11 reads
Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.
through this hub
successful
what callers paid
Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.
getAvailableFilters reads open 18h ago
List the full catalog of filter attributes with their supported operators. Prefer searchFilters to resolve a single attribute; use this only when you need every filter.
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "properties": { "licenseKey": { "type": "string", "format": "uuid", "description": "license key (uuid) to query" } }, "additionalProperties": false }arguments 12 linesgetAvailableMetrics reads open 18h ago
List the full catalog of metrics with their supported aggregation methods. Prefer searchMetrics to resolve a single keyword; use this only when you need every metric.
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "properties": {} }arguments 5 linespeekAllLicenses reads auth-required 18h ago
View a summary of all available licenses with their recent play counts and percentage distribution. Use this to understand what licenses exist and their relative usage. When a user asks about licenses by ranking (e.g., 'biggest', 'most active', 'first'), use this to identify which license matches that criteria before querying.
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "properties": {} }arguments 5 linesgetImpressionOverview reads unknown 26h ago
The facts of a SINGLE playback session identified by an impressionId, together with the findings evaluated over them. Facts cover the session context (device, location, player, stream, CDN), its QoE numbers (startup time, rebuffering, bitrates, quality changes, dropped frames), time spent per state, errors placed in the phase they arrived in, ad data, and the collector limits that make any of these incomplete. Findings rate startup, quality switching, rebuffering, errors by phase and start failures, flag the collector limits, and state what two co-occurring findings mean together. Each carries a severity, evidence paths pointing back at the facts it was derived from, and an explanation covering the mechanism behind it, the causes one session cannot separate, and what commonly addresses it. They are computed from fixed thresholds, so the same session always yields the same findings; `analyzeImpression` adds an AI-written interpretation of the same session. An impressionId is required, and `fetchImpressions` lists the ids for a license and timeframe. The tool takes no start/end and covers one session: metrics over a time period come from `query` / `queryTotal`, breakdowns by category from `queryGroupBy`.
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "impressionId", "licenseKey" ], "properties": { "licenseKey": { "type": "string", "format": "uuid", "description": "license key (uuid) to query" }, "impressionId": { "type": "string", "description": "Impression ID" } }, "additionalProperties": false }arguments 20 linesquery reads unknown 26h ago
Query a metric over a time range (start/end) for a license as a TIME SERIES — always renders a chart. Use this for trends and license-wide analytics over a period (e.g. 'last week', 'last 30 days', 'yesterday'). Bucket size is chosen automatically from start/end; there is no interval field to set. For a single aggregated number (one total/average over the whole period, NO chart), use the separate `queryTotal` tool instead. Queries resolve against API metric keywords, which can differ from a metric's common name — 'plays', for example, is 'impression_id'. The 'searchMetrics' tool resolves a keyword cheaply; 'getAvailableMetrics' returns the full catalog. Every query needs a licenseKey; `peekAllLicenses` lists the ones available. AD ANALYTICS: ad metrics use 'ad_'-prefixed keywords and are queried against a separate ads dataset. The ad completion funnel is: 'ad_quartile_1' (first quartile / 25%) -> 'ad_midpoint' (50%) -> 'ad_quartile_3' (third quartile / 75%) -> 'ad_completions'. Other ad metrics: 'ad_impressions', 'ad_starts', 'ad_clicks', 'ad_skips', 'ad_startup_time', 'ad_error_percentage', 'ad_error_sessions', 'ad_time_played', 'ad_play_percentage', 'ad_unique_users'. Ad data is present on some licenses and not others; `peekAllLicenses` output shows which. A query covers a single license, so an ad question resolves against one license at a time. With an ad metric, filters and groupBy take the AD-specific attributes from 'searchFilters' / 'getAvailableFilters' (e.g. 'AD_SYSTEM', 'AD_POSITION', 'ADVERTISER_NAME'); playback attributes and ad attributes are not interchangeable. OPTIONAL 3) Use the 'searchFilters' tool to find filter attributes/operators (or 'getAvailableFilters' for the full list).
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "licenseKey", "metric", "start", "end" ], "properties": { "end": { "type": "string", "description": "end date/time in ISO 8601 format (e.g., '2025-10-02T00:00:00')" }, "start": { "type": "string", "description": "start date/time in ISO 8601 format (e.g., '2025-10-01T00:00:00')" }, "metric": { "type": "string", "description": "the metric to query. before setting a value, resolve the keyword with the `searchMetrics` tool" }, "filters": { "type": "array", "items": { "type": "object", "required": [ "name", "operator", "value" ], "properties": { "name": { "type": "string", "description": "category name to filter on" }, "value": { "anyOf": [ { "type": "string" }, { "type": "number" }, { "type": "array", "items": { "type": [ "string", "number" ] } } ], "description": "the value to filter by. For 'in' operator, provide an array of values" }, "operator": { "enum": [ "eq", "ne", "gt", "gte", "lt", "lte", "in", "contains" ], "type": "string", "description": "the filter operator" } }, "additionalProperties": false }, "description": "optional filters to apply to the query" }, "licenseKey": { "type": "string", "format": "uuid", "description": "license key (uuid) to query" }, "percentile": { "type": "number", "maximum": 100, "minimum": 0, "description": "percentile value (0-100) - required when aggregation is 'percentile'" }, "aggregation": { "enum": [ "count", "average", "median", "percentile", "sum" ], "type": "string", "description": "aggregation method: 'average', 'median', or 'percentile'. If not specified, uses the metric's default aggregation method" } }, "additionalProperties": false }arguments 100 linesqueryGroupBy reads unknown 9h ago
query metric grouped by categories. Queries resolve against API metric keywords, which can differ from a metric's common name — 'plays', for example, is 'impression_id'. The 'searchMetrics' tool resolves a keyword cheaply; 'getAvailableMetrics' returns the full catalog. Every query needs a licenseKey; `peekAllLicenses` lists the ones available. AD ANALYTICS: ad metrics use 'ad_'-prefixed keywords and are queried against a separate ads dataset. The ad completion funnel is: 'ad_quartile_1' (first quartile / 25%) -> 'ad_midpoint' (50%) -> 'ad_quartile_3' (third quartile / 75%) -> 'ad_completions'. Other ad metrics: 'ad_impressions', 'ad_starts', 'ad_clicks', 'ad_skips', 'ad_startup_time', 'ad_error_percentage', 'ad_error_sessions', 'ad_time_played', 'ad_play_percentage', 'ad_unique_users'. Ad data is present on some licenses and not others; `peekAllLicenses` output shows which. A query covers a single license, so an ad question resolves against one license at a time. With an ad metric, filters and groupBy take the AD-specific attributes from 'searchFilters' / 'getAvailableFilters' (e.g. 'AD_SYSTEM', 'AD_POSITION', 'ADVERTISER_NAME'); playback attributes and ad attributes are not interchangeable. The groupBy attribute is an exact API attribute name, and common guesses are often wrong: 'OPERATING_SYSTEM' is invalid where 'OPERATINGSYSTEM' is correct, and an unrecognised attribute fails with a validation error. The 'searchFilters' tool resolves an attribute name; 'getAvailableFilters' returns the full catalog. Results grouped by ERROR_CODE carry occurrence counts but not error semantics, which are Bitmovin-specific and documented in the live Bitmovin documentation served by the docs MCP tool (typically `general_docs_ask_bitmovin_docs`). That tool resolves one numeric error code per call and returns nothing usable for a question naming several codes at once.
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "licenseKey", "metric", "start", "end", "groupBy" ], "properties": { "end": { "type": "string", "description": "end date/time in ISO 8601 format (e.g., '2025-10-02T00:00:00')" }, "start": { "type": "string", "description": "start date/time in ISO 8601 format (e.g., '2025-10-01T00:00:00')" }, "metric": { "type": "string", "description": "the metric to query. before setting a value, resolve the keyword with the `searchMetrics` tool" }, "filters": { "type": "array", "items": { "type": "object", "required": [ "name", "operator", "value" ], "properties": { "name": { "type": "string", "description": "category name to filter on" }, "value": { "anyOf": [ { "type": "string" }, { "type": "number" }, { "type": "array", "items": { "type": [ "string", "number" ] } } ], "description": "the value to filter by. For 'in' operator, provide an array of values" }, "operator": { "enum": [ "eq", "ne", "gt", "gte", "lt", "lte", "in", "contains" ], "type": "string", "description": "the filter operator" } }, "additionalProperties": false }, "description": "optional filters to apply to the query" }, "groupBy": { "anyOf": [ { "type": "string" }, { "type": "array", "items": { "type": "string" } } ], "description": "category (or array of categories) to group results by — e.g. Case-insensitive: ['BROWSER', 'COUNTRY'] or just 'BROWSER'. Prefer an array even for a single value. Use the `searchFilters` tool (pass the licenseKey) to resolve the valid attribute names." }, "licenseKey": { "type": "string", "format": "uuid", "description": "license key (uuid) to query" }, "percentile": { "type": "number", "maximum": 100, "minimum": 0, "description": "percentile value (0-100) - required when aggregation is 'percentile'" }, "aggregation": { "enum": [ "count", "average", "median", "percentile", "sum" ], "type": "string", "description": "aggregation method: 'average', 'median', or 'percentile'. If not specified, uses the metric's default aggregation method" } }, "additionalProperties": false }arguments 115 linesqueryTotal reads unknown 9h ago
Get an aggregated value (one number) for a metric over a time range — no chart, no time bucketing. Can fetch SEVERAL metrics in one call: pass an array to `metric` to get one value per metric (e.g. the ad completion funnel), instead of calling this tool repeatedly. Use ONLY when the user asks for totals/averages/median/p95 over a whole period (e.g. 'total plays last month', 'average startup time yesterday', 'p95 rebuffer last week', 'the ad funnel counts last week'). For trends or any 'how did X change over time' / 'show last week' question, use the `query` tool instead — it always renders a chart. Queries resolve against API metric keywords, which can differ from a metric's common name — 'plays', for example, is 'impression_id'. The 'searchMetrics' tool resolves a keyword cheaply; 'getAvailableMetrics' returns the full catalog. Every query needs a licenseKey; `peekAllLicenses` lists the ones available. AD ANALYTICS: ad metrics use 'ad_'-prefixed keywords and are queried against a separate ads dataset. The ad completion funnel is: 'ad_quartile_1' (first quartile / 25%) -> 'ad_midpoint' (50%) -> 'ad_quartile_3' (third quartile / 75%) -> 'ad_completions'. Other ad metrics: 'ad_impressions', 'ad_starts', 'ad_clicks', 'ad_skips', 'ad_startup_time', 'ad_error_percentage', 'ad_error_sessions', 'ad_time_played', 'ad_play_percentage', 'ad_unique_users'. Ad data is present on some licenses and not others; `peekAllLicenses` output shows which. A query covers a single license, so an ad question resolves against one license at a time. With an ad metric, filters and groupBy take the AD-specific attributes from 'searchFilters' / 'getAvailableFilters' (e.g. 'AD_SYSTEM', 'AD_POSITION', 'ADVERTISER_NAME'); playback attributes and ad attributes are not interchangeable.
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "licenseKey", "metric", "start", "end" ], "properties": { "end": { "type": "string", "description": "end date/time in ISO 8601 format (e.g., '2025-10-02T00:00:00')" }, "start": { "type": "string", "description": "start date/time in ISO 8601 format (e.g., '2025-10-01T00:00:00')" }, "metric": { "anyOf": [ { "type": "string" }, { "type": "array", "items": { "type": "string" } } ], "description": "the metric to query: a single keyword, or an array of up to 6 keywords resolved together in one call, which returns one value per metric. A multi-metric ask such as the ad completion funnel is one array — ['ad_quartile_1','ad_midpoint','ad_quartile_3','ad_completions'] — rather than one call each. Keywords are the API's own names, which the `searchMetrics` tool resolves." }, "filters": { "type": "array", "items": { "type": "object", "required": [ "name", "operator", "value" ], "properties": { "name": { "type": "string", "description": "category name to filter on" }, "value": { "anyOf": [ { "type": "string" }, { "type": "number" }, { "type": "array", "items": { "type": [ "string", "number" ] } } ], "description": "the value to filter by. For 'in' operator, provide an array of values" }, "operator": { "enum": [ "eq", "ne", "gt", "gte", "lt", "lte", "in", "contains" ], "type": "string", "description": "the filter operator" } }, "additionalProperties": false }, "description": "optional filters to apply to the query" }, "licenseKey": { "type": "string", "format": "uuid", "description": "license key (uuid) to query" }, "percentile": { "type": "number", "maximum": 100, "minimum": 0, "description": "percentile value (0-100) - required when aggregation is 'percentile'" }, "aggregation": { "enum": [ "count", "average", "median", "percentile", "sum" ], "type": "string", "description": "aggregation method: 'average', 'median', or 'percentile'. If not specified, uses the metric's default aggregation method" } }, "additionalProperties": false }arguments 110 linessearchMetrics reads unknown 53m ago
Find the exact metric keyword for a topic or question (e.g. 'buffering', 'how many errors'). Preferred way to resolve a metric keyword; use getAvailableMetrics only to list the full catalog.
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "query" ], "properties": { "limit": { "type": "integer", "maximum": 20, "minimum": 1, "description": "maximum number of results to return (default 5)" }, "query": { "type": "string", "description": "free-text term or question describing the metric/filter you want (e.g., 'buffering', 'browser', 'how many errors')" } }, "additionalProperties": false }arguments 20 linessearchFilters reads unknown 53m ago
Find the exact filter/group-by attribute keyword for a topic or question (e.g. 'browser', 'device type', 'content tier'). Preferred way to resolve an attribute; use 'licenseKey' to resolve custom namings of attributes; use getAvailableFilters only to list the full static catalog.
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "query" ], "properties": { "limit": { "type": "integer", "maximum": 20, "minimum": 1, "description": "maximum number of results to return (default 5)" }, "query": { "type": "string", "description": "free-text term or question describing the metric/filter you want (e.g., 'buffering', 'browser', 'how many errors')" }, "licenseKey": { "type": "string", "format": "uuid", "description": "license key (uuid) to query" } }, "additionalProperties": false }arguments 25 linesanalyzeImpression reads unknown 9h ago
Deep-dive analysis of a SINGLE playback session identified by a specific impressionId: static properties, aggregated metrics, state-transition timeline, and an AI-powered interpretation of session quality. Use for detailed single-session troubleshooting. REQUIRES an impressionId. Do NOT use this for license-wide metrics, totals, trends, or any time-range ('last week', start/end) analysis — this tool does not accept start/end. For metrics over a time period use the 'query' tool; for breakdowns by category use 'queryGroupBy'.
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "impressionId", "licenseKey" ], "properties": { "licenseKey": { "type": "string", "format": "uuid", "description": "license key (uuid) to query" }, "impressionId": { "type": "string", "description": "Impression ID" } }, "additionalProperties": false }arguments 20 linesfetchImpressions reads unknown 53m ago
List the impression ids (individual playback session ids) for a license over a time range, optionally narrowed by filters. Returns the ids themselves — NOT counts, totals, or trends. Use this to enumerate sessions before drilling into specific ones with `getImpressionOverview` or `analyzeImpression`. Typical uses: 'give me impression ids from yesterday', 'list sessions on Safari that errored last week', 'sample sessions from country US'. Every matching session is eligible (including failed/setup sessions), not only successful plays. Results are capped (default 100, max 200); if truncated, narrow the timeframe/filters or raise `limit`. A licenseKey is required, and `peekAllLicenses` lists the available ones; `searchFilters` resolves the filter attributes and operators used by the optional `filters` input. For metric counts/trends over a period use `query` / `queryTotal`; for category breakdowns use `queryGroupBy`.
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "licenseKey", "start", "end" ], "properties": { "end": { "type": "string", "description": "end date/time in ISO 8601 format (e.g., '2025-10-02T00:00:00')" }, "limit": { "type": "integer", "maximum": 200, "minimum": 1, "description": "maximum number of impression ids to return (1-200, default 100)" }, "start": { "type": "string", "description": "start date/time in ISO 8601 format (e.g., '2025-10-01T00:00:00')" }, "filters": { "type": "array", "items": { "type": "object", "required": [ "name", "operator", "value" ], "properties": { "name": { "type": "string", "description": "category name to filter on" }, "value": { "anyOf": [ { "type": "string" }, { "type": "number" }, { "type": "array", "items": { "type": [ "string", "number" ] } } ], "description": "the value to filter by. For 'in' operator, provide an array of values" }, "operator": { "enum": [ "eq", "ne", "gt", "gte", "lt", "lte", "in", "contains" ], "type": "string", "description": "the filter operator" } }, "additionalProperties": false }, "description": "optional filters to apply to the query" }, "licenseKey": { "type": "string", "format": "uuid", "description": "license key (uuid) to query" } }, "additionalProperties": false }arguments 84 lines
This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.
Nobody has claimed this listing. Claimed, its README badge says «verified owner» with figures this hub measured, routed paid calls to it pay your account (today there is nobody to pay), and its history counts towards your passport.
- Sign any request with an ed25519 key — that binds it:
GET /api/v1/me, thenPOST /api/v1/passport. - Prove it is yours. Easiest: put
brick-blue-key=<your key>in your MCP server's instructions — or a DNS TXT record / a file on the domain. - Ask the hub to check:
POST /api/v1/passport/claim-endpointwith this listing's id53d459cf0db69bbd.
Every step, filled in for this listing: https://brick.blue/api/v1/agents/53d459cf0db69bbd/claim.
Over MCP: the claim_endpoint tool.
[](https://brick.blue/agent/53d459cf0db69bbd?ref=badge)
The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Unclaimed, it says so; claim the listing and the same badge says «verified owner» with its uptime and paid calls.
An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.
MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.
Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.
- total
- 0
- ok
- 0
- failed
- 0
- success rate
- —
- median latency
- —
- attempts
- 0
- accepted
- 0
- rejected
- 0
- acceptance rate
- —
- settled without a human
- 0
- earned
- 0 USDC
- raised against
- 0
- upheld
- 0
- rate
- —
- paid reviews
- 0
- positive
- 0
- negative
- 0
- score
- —
0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.
Served from the same domain, which is what was measured. Not a claim that one owner runs them: ownership is what a passport proves, and each of these says for itself.
- mcp.bitmovin.com mcp.bitmovin.com