Name: Analytics Legends — SAP Analytics Intelligence
Author: analyticslegends

Analytics Legends — SAP Analytics Intelligence MCP

AI agent for SAP analytics: firms, day rates, contract radar, news, concepts, studies

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What it does

AI agent for SAP analytics: firms, day rates, contract radar, news, concepts, studies

Quickstart

# 1 — add it to Claude Code
claude mcp add --scope user --transport http analytics-legends-sap-analytics-intelligence-mcp https://analyticslegends.ai/mcp

# 2 — ask your agent for something these tools do
#   search_firms, count_firms_by, get_firm and 19 more

Analytics Legends — SAP Analytics Intelligence costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.

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Tool surface

What the model actually sees. Descriptions are diffed on every release — see version history.

Only tools that write or reach the network

Search the published Analytics Legends directory of SAP AI & analytics service providers — placement agencies, Big-4 and ESN practices, SAP vendors, platforms and community groups — by country, region (EMEA · AMER · LATAM · APAC · AFRICA), kind, declared SAP module and free text. Returns name, HQ country/city, website, careers URL and a one-line editorial claim. SAP END-CUSTOMER companies are NOT

Parameter	Type	Required	Notes
query	string	no	Free-text filter, case-insensitive. EVERY word must appear in the record (substring per word, any order), so a natural-language phrase narrows the answer instead of having to match verbatim.
country	string	no	ISO-3166-1 alpha-2 country code, e.g. DE, FR, CH.
region	string	no	Region code of the HQ country — the platform's six-value geography: EMEA (Europe AND the Middle East), AMER (North America), LATAM, APAC, AFRICA (its own region, not folded into EMEA), GLOBAL (country
kind	string	no	Restrict to one organisation kind. This list is the vocabulary the corpus holds today, not a frontier — call list_firm_kinds for the live one. A malformed code is refused; a well-formed code the corpu
module	string	no	Restrict to organisations with a DECLARED link to one SAP module/product code (UPPERCASE snake_case, e.g. DATASPHERE, BDC, SAC, BW4HANA, S4HANA, JOULE — case-insensitive on input). The declared links
limit	integer	no	Max rows (hard cap 50).
cursor	string	no	Opaque token from a previous response's _meta.next_cursor. Pass it back with the SAME filter arguments; null means the last page. Changing a filter refuses the cursor.

Answer a COUNTING question about the published firm directory in one call: how many organisations per country, per REGION (the six-value geography), per kind, per declared SAP module, or per SAP signal band — with the same country/kind/module/query filters search_firms takes, so you can count a slice as easily as the whole. Use this instead of paging search_firms and tallying rows: the

Parameter	Type	Required	Notes
by	string	yes	Which facet to count on. Required — there is no default worth guessing.
query	string	no	Free-text filter, case-insensitive. EVERY word must appear in the record (substring per word, any order), so a natural-language phrase narrows the answer instead of having to match verbatim.
country	string	no	ISO-3166-1 alpha-2 country code, e.g. DE, FR, CH.
region	string	no	Region code of the HQ country — the platform's six-value geography: EMEA (Europe AND the Middle East), AMER (North America), LATAM, APAC, AFRICA (its own region, not folded into EMEA), GLOBAL (country
kind	string	no	Restrict to one organisation kind before counting, same vocabulary as search_firms. Combining it with by:"kind" is legal and returns that single bucket.
module	string	no	Restrict to organisations with a DECLARED link to one SAP module code before counting, same vocabulary as search_firms' module. Combining it with by:"module" is legal and returns that single bucke

Fetch one organisation from the published directory by its database slug (rows[].slug from search_firms, verbatim). Returns the same public fields plus partnerships_declared, the count of partnerships this directory records for the firm — 0 on ~77 % of rows (re-measured 2026-09-30 on the published tranche: 77,1 %; it read ~97 % until the 2026-09-30 brand-family pass derived 3 730 sibling links

Parameter	Type	Required	Notes
slug	string	yes	The DATABASE slug, taken verbatim from search_firms.rows[].slug. It is not always the web slug in citation_url: a minority of published rows carry a numeric firm id instead (365 of them on 2026-08-09

Breakdown of the published firm directory by organisation kind, with a live row count per kind. Use this before search_firms to know what the population actually is instead of guessing.

No parameter schema on file.

The subset of the published directory where a consultant can CREATE A PROFILE — freelance marketplaces, job boards with candidate profiles, talent platforms and expert networks — each with its signup URL, an editorial confidence grade and the date it was assessed. This answers the entering-contractor's first practical question ('where do I register?') in one call. Everything here is also in search

Parameter	Type	Required	Notes
country	string	no	ISO-3166-1 alpha-2 country code, e.g. DE, FR, CH.
platform_type	string	no	Restrict to one platform type, lowercase snake_case. The live vocabulary with counts is _meta.available_platform_types on every response — a well-formed unknown value returns no rows, it never widen
limit	integer	no	Max rows (hard cap 50).
cursor	string	no	Opaque token from a previous response's _meta.next_cursor. Pass it back with the SAME filter arguments; null means the last page. Changing a filter refuses the cursor.

Search every SAP contract and permanent-role posting Analytics Legends publishes to an ANONYMOUS visitor. Only the SITE RADAR leg below is the population a human browses on /opportunities/, where each of its postings has its own prerendered page; the PROMOTED leg is served to agents only — it is not listed on /opportunities/ and its rows have no page of their own (citation_scope "section_hub"). It

Parameter	Type	Required	Notes
query	string	no	Free-text filter, case-insensitive. EVERY word must appear in the record (substring per word, any order), so a natural-language phrase narrows the answer instead of having to match verbatim.
location	string	no	City or place, matched case-insensitively as a substring of the posting's location. The promoted leg is all-German (Hamburg, Frankfurt am Main, Bremen, Munich, Cologne, Dortmund, Hanover, Landshut, Ma
country	string	no	ISO-3166-1 alpha-2 code, applied to both legs as a predicate on the row's own country_code. It NO LONGER selects the site-radar leg alone: the promoted feed carried country_code on almost none of its
employment_type	string	no	Restrict to one engagement type. THE RADAR IS MOSTLY PERMANENT, so a freelance or contract question answered off an unfiltered page is answered with salaried jobs. For the actual split, make the filte
remote_mode	string	no	Restrict to one work-location policy: remote, hybrid or onsite. READ THIS BEFORE ANSWERING A REMOTE QUESTION: a large share of the radar declares no policy at all (_meta.remote_mode_undeclared
lang	string	no	Reading language for the TITLE — 'EN' (default), 'FR' or 'DE'. This is a RENDERING choice, never a filter: it changes which string title carries, never which rows come back. Read title_lang on eve
limit	integer	no	Max rows (hard cap 50).
cursor	string	no	Opaque token from a previous response's _meta.next_cursor. Pass it back with the SAME filter arguments; null means the last page. Changing a filter refuses the cursor.

Search the Analytics Legends market-news corpus. It is watched FOR SAP AI & analytics (Datasphere, Business Data Cloud, SAC, BW/4HANA, Databricks, the 2027/2030 maintenance window), but it is NOT an all-SAP corpus: measured 2026-07-30, ~84 % of active rows sit in the AI category and are general enterprise-AI trade press (cloud platforms, model releases, funding rounds) with no SAP content at all

Parameter	Type	Required	Notes
query	string	no	Free-text filter, case-insensitive. EVERY word must appear in the record (substring per word, any order), so a natural-language phrase narrows the answer instead of having to match verbatim.
category	string	no	Category code, matched case-insensitively. The live vocabulary is NOT written here — read _meta.available_categories on any response: every category label this corpus holds right now, with its activ
published_since	string	no	Lower bound on published_at, inclusive, as YYYY-MM-DD. Without a bound a period question is only answerable by walking pages — and _meta.match_count then counts the QUERY, not the period, so any f
published_until	string	no	Upper bound on published_at, INCLUSIVE of the day named, as YYYY-MM-DD. Combine with published_since for a window; _meta.match_count then describes that window, which is what makes it quotable.
limit	integer	no	Max rows (hard cap 50).
cursor	string	no	Opaque token from a previous response's _meta.next_cursor. Pass it back with the SAME filter arguments; null means the last page. Changing a filter refuses the cursor.

Search the SAP AI & analytics concept encyclopaedia — the vocabulary of the stack, written for practitioners. Returns slug, title, category, level, tags and the editor's summary. level is GRADED on every active row since 2026-09-18 (the CHECK constraint accepted only the legacy vocabulary OR NULL, so the loader wrote NULL rather than fail; 108 of 330 were blank). A null, if one ever returns, mea

Parameter	Type	Required	Notes
query	string	no	Free-text filter, case-insensitive. EVERY word must appear in the record (substring per word, any order), so a natural-language phrase narrows the answer instead of having to match verbatim.
category	string	no	Concept category, matched case-insensitively as an exact value OR a prefix — so category:"datasphere" reaches 'Datasphere Core'. The values are long human labels, not codes. DO NOT GUESS THEM FROM THI
limit	integer	no	Max rows (hard cap 50).
cursor	string	no	Opaque token from a previous response's _meta.next_cursor. Pass it back with the SAME filter arguments; null means the last page. Changing a filter refuses the cursor.

Fetch one concept entry by slug: title, category, level, tags and the editor's summary. Written by a named human editor, not generated. level is GRADED on every active row since 2026-09-18 (the CHECK constraint accepted only the legacy vocabulary OR NULL, so the loader wrote NULL rather than fail; 108 of 330 were blank). A null, if one ever returns, means 'not graded', never 'Beginner'. The card

Parameter	Type	Required	Notes
slug	string	yes	Concept slug from search_concepts.

List the Analytics Legends deep-research studies with their edition, as-of date, audience, word count and canonical URL. METADATA ONLY: study bodies are a paid Consultant-tier deliverable, served by get_study on this same endpoint with a subscriber key. Use this to tell a reader that a study exists and where to read it. ONE ROW IS ONE LANGUAGE EDITION, NOT ONE STUDY: each study is published in e

Parameter	Type	Required	Notes
query	string	no	Free-text filter, case-insensitive. EVERY word must appear in the record (substring per word, any order), so a natural-language phrase narrows the answer instead of having to match verbatim.
lang	string	no	ISO-639-1 language of the EDITION to list, e.g. en, fr or de — each study is published as one row per language. Omit it to see every edition of every study; the live list of languages actually present
limit	integer	no	Max rows (hard cap 50).
cursor	string	no	Opaque token from a previous response's _meta.next_cursor. Pass it back with the SAME filter arguments; null means the last page. Changing a filter refuses the cursor.

The PUBLIC day-rate aggregate for SAP AI & analytics freelance work: min/max daily rate by country, specialisation and seniority — daily_rate_min / daily_rate_max (plus daily_rate_median, daily_rate_p10, daily_rate_p90 when the source publishes them), every amount in the row's own currency — with source, source date, confidence and the sample the source states. This is the free aggrega

Parameter	Type	Required	Notes
country	string	no	ISO-3166-1 alpha-2 country code, e.g. DE, FR, CH.
specialisation	string	no	One of the codes the aggregate actually holds — analytics_all, bw, bw4hana, bw4hana_sac, sac, datasphere (2026-08-09; the live list comes back as _meta.available_specialisations on every call). They
seniority	string	no	e.g. senior, principal.

The canonical SAP module/product taxonomy Analytics Legends classifies against (codes and EN/FR labels by category). Use it to normalise a user's loose product wording — 'SAC', 'Analytics Cloud', 'Datasphere' — onto the codes the other tools filter on.

Parameter	Type	Required	Notes
query	string	no	Free-text filter, case-insensitive. EVERY word must appear in the record (substring per word, any order), so a natural-language phrase narrows the answer instead of having to match verbatim.
limit	integer	no	Max rows (hard cap 50).
cursor	string	no	Opaque token from a previous response's _meta.next_cursor. Pass it back with the SAME filter arguments; null means the last page. Changing a filter refuses the cursor.

Search the Analytics Legends Academy — the written training modules on SAP Datasphere, Business Data Cloud, SAP Analytics Cloud, BW/4HANA and Databricks — by track, level and free text. _meta.tranche_total_row_count carries the live catalogue size on every call; it is the only count to quote. Returns the catalogue entry: id, slug, EN/FR title, track, level, duration in minutes, tags and the edit

Parameter	Type	Required	Notes
query	string	no	Free-text filter, case-insensitive. EVERY word must appear in the record (substring per word, any order), so a natural-language phrase narrows the answer instead of having to match verbatim.
track	string	no	Restrict to one track, by SLUG (databricks-data-eng) or by English name (Databricks & Data Eng.), matched case-insensitively. The live vocabulary with per-track counts is _meta.available_tracks
level	string	no	Restrict to one level, matched case-insensitively: Beginner · Intermediate · Advanced · Expert. Counts in _meta.available_levels.
limit	integer	no	Max rows (hard cap 50).
cursor	string	no	Opaque token from a previous response's _meta.next_cursor. Pass it back with the SAME filter arguments; null means the last page. Changing a filter refuses the cursor.

The RELATIONS between the platform's teaching objects — which Academy module teaches which concept, which study covers which module, what a concept relates to. THIS IS THE ONLY TOOL ON THIS SERVER THAT SERVES EDGES; the others serve rows. Ask it what connects to what, not what exists. SCOPE, AND IT IS NARROWER THAN 'the knowledge graph': it carries four node types — concept, module, study, `

Parameter	Type	Required	Notes
node_id	string	no	Fully-qualified node id, <type>:<id> — module:M178, concept:C001, study:ai-impact-2026-EN, vendor:alteryx. With it, rows are that node's EDGES (one row per neighbour). Without it, rows are N
node_type	string	no	Restrict to one carried node type: concept · module · study · vendor. Read _meta.available_node_types.
edge_type	string	no	Restrict a walk to one relation. The authority is _meta.available_edge_types, computed on every call — no list is kept here: a four-name list once stood here while the projection served five, then a
direction	string	no	Which side of the edge node_id must sit on. Default both. Ignored without node_id, and the response says so rather than pretending it applied.
query	string	no	Case-insensitive substring of a node's label. Applies to the NODE listing, not to a walk. Matched against the label SERVED, so it follows lang.
lang	string	no	ISO-639-1 language for the LABELS — en, fr or de. Defaults to en. The fallback is declared and never silent: the language asked for, then English, then French, and _meta.label_language_coverage says
limit	integer	no	Max rows (hard cap 50).
cursor	string	no	Opaque token from a previous response's _meta.next_cursor. Pass it back with the SAME filter arguments; null means the last page. Changing a filter refuses the cursor.

The FULL encyclopaedia card for one concept — body, cheat sheet, glossary, pro tip, and the four analysis tables (decision table, peer comparison, named pitfalls, performance facts), EN, FR and DE, plus why-it-matters and key points (those two are also published free on the concept page; here they come structured, in three languages, in the same payload) — the corpus the €29.90 Consultant Pass sel

Parameter	Type	Required	Notes
slug	string	yes	Concept slug, verbatim from search_concepts.rows[].slug.

Read one Analytics Legends study BODY — the paid text behind list_studies' metadata. Requires a subscriber API key, Consultant tier or above. Bodies run to 38k words and exceed the 256 KiB response ceiling, so this tool serves STRUCTURE first: called without section it returns the section list and the introduction; pass section (a heading from that list, matched case-insensitively) to read one

Parameter	Type	Required	Notes
slug	string	yes	Study slug, verbatim from list_studies.rows[].slug.
lang	string	no	ISO-639-1 language of the edition, e.g. en or fr. Defaults to en.
section	string	no	A section heading from a previous call's sections list. Omit to get the list.

Read one Academy training module in full — body, learning objectives and summary, EN, FR and DE — the written course corpus the €29.90 Consultant Pass sells. On THIS endpoint the machine-access subscription is the MCP Pass (€39.90/month, analyticslegends.ai/pricing/), which opens the ENTIRE paid tranche from one key; the €29.90 Consultant Pass is its web-subscriber equivalent and opens the same ti

Parameter	Type	Required	Notes
id	string	yes	Module id (M001) or slug (datasphere-foundations), verbatim from find_academy_modules.rows[].id / .slug.

Search the SAP END-CUSTOMER corpus — the companies that RUN SAP, not the firms that sell services (those are search_firms). This is the paid Legend+ dataset locked away from the public surface on 2026-07-08; it requires a subscriber API key, Legend tier or above. Verification status is SERVED, never silently filtered: sap_client_verification_status and status are columns on every row ('verifie

Parameter	Type	Required	Notes
query	string	no	Free-text filter, case-insensitive. EVERY word must appear in the record (substring per word, any order), so a natural-language phrase narrows the answer instead of having to match verbatim.
country	string	no	ISO-3166-1 alpha-2 country code, e.g. DE, FR, CH.
industry	string	no	Industry or sector filter, matched case-insensitively.
product	string	no	Keep only end-customers where this SAP product was DETECTED in use. Absence from the result means undetected, not unused.
limit	integer	no	Max rows (hard cap 50).
cursor	string	no	Opaque token from a previous response's _meta.next_cursor. Pass it back with the SAME filter arguments; null means the last page. Changing a filter refuses the cursor.

The full profile of one SAP end-customer — SAP footprint (products in use, modules known), analytics solutions, identity and evidence fields. Requires a subscriber API key, Legend tier or above. id comes verbatim from find_sap_clients.rows[].id.

Parameter	Type	Required	Notes
id	string	yes	Profile id, verbatim from find_sap_clients.rows[].id.

The one-call brief a services practice reads before opening a subsidiary in another region: providers already there (by kind and by country, and how many are LOCAL entities versus members of multi-region groups), SAP end-customers there (by country and by industry — counts from the Legend corpus, never rows), live opportunities by country, and the BRIDGE GROUPS — brand families that hold entities

Parameter	Type	Required	Notes
target_region	string	yes	The region you want to enter. One of EMEA, AMER, LATAM, APAC, AFRICA (GLOBAL is refused: it is not a market).
home_region	string	no	Optional. The region you operate from today. When set, bridge groups are the families present in BOTH regions; when omitted, in the target region and any other.

Rank the LOCAL service providers of a target country or region — the firms a practice partners with, subcontracts to, or acquires to enter a market. local_only (default true) keeps firms with NO sister entity in another country (read from the brand-family key of the SSOT): a subsidiary of a global group is a competitor, not a partner. Filter by kind and by DECLARED SAP module; rows carry the dec

Parameter	Type	Required	Notes
country	string	no	ISO-3166-1 alpha-2 country code, e.g. DE, FR, CH.
region	string	no	Region code of the HQ country — the platform's six-value geography: EMEA (Europe AND the Middle East), AMER (North America), LATAM, APAC, AFRICA (its own region, not folded into EMEA), GLOBAL (country
kind	string	no	Restrict to one provider kind (placement agencies, ESN/SI practices, Big-4, SAP partners, platforms). SAP's own entities, communities, schools and public bodies are never in this population.
module	string	no	Restrict to firms with a DECLARED link to one SAP module code (UPPERCASE snake_case, e.g. DATASPHERE, BDC, SAC — call count_firms_by {by:"module"} for the live vocabulary). Absence means no declared l
local_only	boolean	no	true (default): only firms with no sister entity abroad. false: every provider of the market, groups included.
limit	integer	no	Max rows (hard cap 50).
cursor	string	no	Opaque token from a previous response's _meta.next_cursor. Pass it back with the SAME filter arguments; null means the last page. Changing a filter refuses the cursor.

The paid intelligence profile of a services firm — SAP practice size and partner level, delivery flags per product, typical day rate and seniority, notable clients, analytics practice summary, and a LinkedIn company URL (present on ~71% of the corpus, re-measured 2026-09-05 on 9,104 profiles — it read ~39% from 2026-08-10 to 2026-09-05, i.e. a third of the corpus below the truth, because an enrich

Parameter	Type	Required	Notes
name	string	no	Firm name, matched case-insensitively; an exact name ranks first, then a name starting with it, then the other matches. Omit to browse the corpus by data completeness.
country	string	no	ISO-3166-1 alpha-2 country code, e.g. DE, FR, CH.
delivers	string	no	Keep only firms whose profile DECLARES delivery of this product (the delivers_* flags every row already carries). An undeclared flag drops the row: absence from the result means the profile does not
mode	string	no	Keep only firms whose profile declares this engagement mode (mode_freelance / mode_permanent / mode_subcontract). Same reading as delivers: declared-only.
limit	integer	no	Max rows (hard cap 10 — these rows are wide).
cursor	string	no	Opaque token from a previous response's _meta.next_cursor. Pass it back with the SAME filter arguments; null means the last page. Changing a filter refuses the cursor.

Free

$0 forever

Every tool — any call limit is its publisher’s, not ours
No card, and mcprush charges nothing for it
Runs at its publisher’s own address — this marketplace is not in the path
Nothing to cap, because mcprush bills nothing

Nothing here is billable: mcprush charges nothing to install Analytics Legends — SAP Analytics Intelligence or to call it, at any volume.

Where are you running it?

Tool surface

Release history

Analytics Legends — SAP Analytics Intelligence MCP

What it does

Quickstart

Where are you running it?

Tool surface

What counts against your monthly calls

Release history

See also