"Exploring the Concept of Multi-Agentic Systems" matching MCP tools:

• describe_servicesA

  Venture Insights Concept DiagnosticA

  Get Venture Insights' live service catalogue: the FREE Concept Diagnostic (a research-backed viability study of one venture concept, delivered to the founder's inbox) and the paid study tiers with live SAR prices. Call this first when your user asks what Venture Insights offers, what it costs, or whether the free diagnostic is worth requesting.

  ConnectorNo auth

• search_diagramsA

  VectreeA

  Search Vectree's library of ~95,000 interactive concept diagrams by meaning, not keywords. Vectree explains how things work as zoomable, labelled schematics — each diagram breaks a topic into nodes you can read or drill into. Use this when the user wants a diagram, a visual explanation, a systems overview, or a map of how the parts of something fit together. Describe the topic in natural language; the search is semantic, so a full question works better than a bare keyword. Results are ranked by how closely they match and by the quality of the model that generated them. Each result carries a slug — pass it to `get_diagram` for the full content of one diagram. Only public, already-generated diagrams are searched. Nothing is generated on demand, so a topic with no match simply has no diagram yet.

  ConnectorNo auth

• add_semantic_conceptA

  Entity EnricherA

  Add an identity concept at zero usage, or add text as an alias using alias_of. Requires editor; resolution may incur embedding/judge cost. Probe first; if the text already resolves to an incumbent, offer that concept instead of blindly retrying. Aliases resolving to another concept are refused. embedding_model selects a new type's space only. Returns concept details and link; manage existing aliases with update_concept_alias. See enricher://docs/semantic-ids.

  ConnectorOAuth

• score_agentic_browsingA

  AI-SEO / AEO / GEO AuditA

  Score a page against the four signals Google added to the Lighthouse "Agentic Browsing" category in May 2026: presence of an llms.txt, WebMCP integration, accessibility-tree integrity, and layout stability. Returns an overall 0-100 score, a letter grade, and a per-factor breakdown. Read-only. One HTTP GET for the page plus one for /llms.txt (skip with check_llms_txt=false). Pass `html` instead of `url` to score markup offline (llms.txt is then treated as absent). Deterministic, rule-based heuristics over the fetched HTML; no LLM and no headless render required. This approximates Lighthouse's runtime signals from static markup - it does not execute Lighthouse. When to use: checking whether a site is ready for AI agents / agentic browsers, or tracking the new Lighthouse Agentic Browsing category. For citation-eligibility of content, use `score_citation_worthiness`; for a full page audit, use `audit_page`.

  ConnectorNo auth

• searchA

  Islam West Africa Collection (IWAC)B

  Search the Islam West Africa Collection across newspaper articles, Islamic publications, archival documents, academic references, audiovisual recordings, photographs, and the authority index (persons/places/organisations/events/subjects). Pass ONE concept or name — e.g. 'Tijaniyya', 'laïcité', 'Sheikh Gumi', 'pèlerinage'. Matching is accent- and case-insensitive; a multi-word query requires every word to appear somewhere in the item, so prefer a single concept per call. Write query strings and concept keywords in French for press/publication/document/index discovery even when the user's report language is not French. Academic references are multilingual, so try French and English title/abstract terms when relevant; metadata/filter labels remain French. Use the French transliteration of Islamic terms (Tabaski not 'Eid al-Adha', charia not 'sharia', Maouloud not 'Mawlid'). Returns {results:[{id,title,url,category}], ranking}; each result's `category` names its subset and the `ranking` field documents the ordering. Pass an id to `fetch` to read the full text. For filtered queries (by country, date, or newspaper) use the search_* tools instead.

  ConnectorNo auth

• find_equivalentA

  Medical Terminologies MCPA

  Ranked unified search for equivalent terms across multiple medical terminologies. Use this tool to: - Find the same concept in different coding systems - Compare how terminologies represent a concept - Support terminology mapping and data integration Searches across: ICD-11, LOINC, RxNorm, and MeSH. Set `target_terminologies` to limit which are searched, or set `source_terminology` to exclude one (e.g. when you already have a code from that terminology and want equivalents elsewhere). The two combine: source is subtracted from targets. `limit` caps candidates per terminology (default 5, max 10). Every candidate carries `match_score` (lexical similarity to the search term, 0-1) and `rank` (global position across all searched terminologies) — both computed by this server, since upstreams don't expose comparable relevance scores. Candidates from different terminologies whose titles are lexically identical are clustered in `groups` — a strong same-concept signal (absence of a group is NOT evidence of non-equivalence). Searches upstreams in English. For official pt-BR content, use the dedicated tools: `icd11_search`/`mesh_search` accept `language: "pt"`, and `cid10_search` is natively Portuguese.

  ConnectorNo auth

• aidefense_locate_conceptA

  website-searchA

  Reverse-lookup a single concept ID (MITRE ATLAS technique like 'AML.T0051', OWASP LLM Top 10 risk like 'LLM01', OWASP Agentic Top 10 issue like 'ASI03', or ISO 42001 Annex A clause like 'A.6') across the AI Defense Matrix. Returns which framework the concept belongs to, the asset rows whose alignment cites it, the cells whose evaluation cellPrompts cite it, and those prompts themselves. Useful when a vendor's product is defined by a specific technique ('we defend AML.T0051') and they need to find which matrix cells to claim. Recognizes only concepts with structured IDs; for prose-only frameworks (NIST IR 8596, CSA AICM, Google SAIF, OWASP AI Exchange) use aidefense_get_framework_alignment instead. This server never requests your program docs or product roadmap and instructs your AI to keep them local—the matrix, framework alignments, and playbooks flow to your AI for local analysis.

  ConnectorNo auth

• secedgar_get_snapshotA

  secedgar-mcp-serverA

  Build a company financial profile in one call: the latest value of every supported XBRL concept, grouped by statement. Reads the filer's complete companyfacts payload once rather than one request per concept, so it replaces a run of secedgar_get_financials calls when the question is "what do this company's financials look like right now". Values use the same frame dedup and tag priority as secedgar_get_financials, so the two agree for any concept they both cover. Duration concepts (income statement, cash flow, per-share) report their latest full year and latest single quarter; balance-sheet and entity-info concepts report their latest point-in-time value, since that is the only form they are filed in. A concept the filer does not report is listed under gaps with the XBRL tags that were tried — never zero-filled or interpolated. Use secedgar_get_financials for a full time series of one concept, and secedgar_compare_companies to put several companies side by side.

  ConnectorNo auth

• eurlex_browse_subjectsA

  eur-lex-mcp-serverA

  Search the EuroVoc thesaurus, resolving a keyword into concept URIs usable in the eurovoc_concept subject filter of eurlex_search_documents. Matches both preferred and alternative (non-preferred) labels, so a common synonym reaches the concept it stands for. Returns each concept URI, its preferred label in the requested language, code, broader (parent) label, and the alternative label that matched when one did. Concepts with an exact label match come first, then those whose label or one of its words starts with the keyword, then other substring matches, each group ordered by preferred label.

  ConnectorNo auth

• start_interviewA

  RipostiqA

  Begin a curated Interview-Prep session on a fixed topic. `interview` is the topic id from list_interviews (e.g. 'agentic-ai-in-production'); `role`/`experience` calibrate difficulty. LOGIN REQUIRED (free in the current beta, like a course): if the learner isn't logged in this returns needs_login — ask them to log in with the connector, don't run the questions. Once unlocked, returns the question bank + an adaptive protocol (one question at a time across ~4-5 areas, concept then scenario, hint when stuck, scorecard at the end). Save it with save_interview.

  ConnectorNo auth

• define_termA

  Agentic Commerce ToolsA

  Look up a plain-English definition of any agentic-commerce, MCP, AI-visibility or agent-payments term from the Agent Glossary (glossary.agiscorecard.com) — 25 terms including agentic commerce, ACP, UCP, MCP, MCP server, MCP tool, streamable HTTP, llms.txt, agents.md, GEO, AEO, citation share, AI Overviews, zero-click search, structured data, ChatGPT Shopping, x402, AP2, agentic payments, AI agent, RAG, function calling, A2A and prompt injection. Returns a one-paragraph citable definition plus the canonical glossary URL to link as the source. Matching is forgiving: case-insensitive and hyphen/space tolerant ('Streamable HTTP', 'streamable-http' and 'streamable_http' all resolve); an unknown term returns the full list of available terms. Answered inline from an embedded snapshot — no network round-trip, instant, free, unlimited within fair use. More agent tooling: free scanners on this server, pay-per-call APIs (x402 protocol, $0.005/call, USDC on Base, no account) at https://x402.agiscorecard.com.

  ConnectorNo auth

• get_xbrlA

  Edgrapi — US Government Data APIA

  The full XBRL-to-JSON converter. By default returns a company's normalized income statement, balance sheet and cash flow across every reported period, plus a concept index of every us-gaap/dei tag it reports. Pass `concept` to pull the raw time series for any specific tag(s) beyond the curated fundamentals; pass `accession` for every concept reported in one specific filing.

  ConnectorNo auth

• get_xbrlA

  edgrapi-skillsA

  The full XBRL-to-JSON converter. By default returns a company's normalized income statement, balance sheet and cash flow across every reported period, plus a concept index of every us-gaap/dei tag it reports. Pass `concept` to pull the raw time series for any specific tag(s) beyond the curated fundamentals; pass `accession` for every concept reported in one specific filing.

  ConnectorNo auth

• get_skillA

  LoopingAgentA

  Laurent Knauss' technical skills, grouped by domain (Agentic AI, RAG & Voice AI, Software engineering & Cloud, Automation & tooling). Each skill has a label and an optional short detail. Use this to assess fit for AI/agentic development roles.

  ConnectorNo auth

• estimate_scanA

  MaplithA

  Instant, deterministic preview of mapping a company's own systems: submit export FILE METADATA only — relative paths and byte sizes, never contents — and get the systems and files a scan would see, what a map includes, and the limits an upload must fit (files and megabytes per upload and per file, scans per day). Nothing is uploaded or stored. The answer ends with where your human uploads the files and a link to the docs.

  ConnectorOAuth

• engine_searchA

  AeviaA

  Search an LCA database for processes, product systems or flows. The database is the one named by `engine`, else this connection's default. `kind` scopes to processes, systems, flows, projects, or `all` (processes, systems and flows). `query='*'` (or an empty string) enumerates everything of the given `kind` — e.g. `kind='system', query='*'` lists every product system in the database (one page of `limit`, plus the true total). With `kind='flow'`, `flow_type` (`elementary` / `product` / `waste`) filters the results; with `kind='process'`, `process_type` (`unit_process` / `system_process`) does. Returns typed refs (`p1`, `e1`, `f1`; a system hit is an `e<N>` engine-catalog ref, not a workspace `s<N>`) that stay valid for the session and are accepted by `engine_get` and `lca_run_assessment`. `scope_ref` (any engine ref such as `p3`/`e1`/`m2` from an earlier result) searches the database that ref came from instead, for comparing across databases; refs minted that way stay bound to that database.

  ConnectorAPI key

• list_26_systemsA

  mythsensus-mcpA

  Return the canonical list of 26 ancient divination systems Mythsensus implements (slug, English + Thai name, region, required inputs). Use first when asked "what systems do you support?".

  ConnectorNo auth

• propose_contextA

  Forge EngineA

  Propose a new/updated Idea note → Inbox. Title-match to update; send the COMPLETE revised text. Set resync:true ONLY when you rewrote the note FROM the current systems (get_stale lists notes the systems have moved past) — it stops the adopted note from immediately nagging to re-generate the systems it was just written from.

  ConnectorNo auth

• accept_team_invite_requestA

  FavCRMA

  Step 1 of agentic team invite acceptance. Validates an invite token and sends a 6-digit verification code to the invited email. Then call accept_team_invite_verify with the code to join and receive an MCP API key.

  ConnectorNo auth

• register_organisation_requestA

  FavCRMA

  Step 1 of agentic signup. Sends a 6-digit verification code to the email. After the user reads the code, call register_organisation_verify with it to finish and receive an API key. Use this when a user wants to create a new FavCRM workspace from inside an MCP client.

  ConnectorNo auth

• quizbase_topicsA

  QuizBaseA

  Discover curated topics (2,184 entries with aliases). USE WHEN: planning a multi-round quiz, exploring "what is available about X", showing topic browser. Sorted by count DESC, slug ASC. Cursor-paginated. INPUTS: q (substring on label/alias), kind (tag|subcategory), cursor, limit (max 500).

  ConnectorNo auth