"Information on memory banks or task managers" matching MCP tools:

• muninn_task_addA

  Muninn by BizatA

  Create a task memory — a memory carrying task fields (entityType 'task'). Use for to-dos and calendar-shaped events, not for ordinary notes. taskType 'todo' uses dueDate; taskType 'event' uses startTime/endTime. recurrence is a raw RRULE string (RFC 5545, e.g. 'FREQ=WEEKLY;INTERVAL=2'), stored verbatim and passed through untouched. remindTauDays sets how early this task starts nagging (the urgency ramp) — bigger tasks can warn earlier than the global 3-day default; leave unset to use the default. calendarOnly true puts it on the calendar but never reminds about it (not at boot, not per call, not even overdue): use it for dates to know, not act on. Returns a compact {success, memoryId, length}, same shape as muninn_memory_add.

  ConnectorAPI key

• muninn_task_addA

  Muninn (munn.is)A

  Create a task memory — a memory carrying task fields (entityType 'task'). Use for to-dos and calendar-shaped events, not for ordinary notes. taskType 'todo' uses dueDate; taskType 'event' uses startTime/endTime. recurrence is a raw RRULE string (RFC 5545, e.g. 'FREQ=WEEKLY;INTERVAL=2'), stored verbatim and passed through untouched. remindTauDays sets how early this task starts nagging (the urgency ramp) — bigger tasks can warn earlier than the global 3-day default; leave unset to use the default. calendarOnly true puts it on the calendar but never reminds about it (not at boot, not per call, not even overdue): use it for dates to know, not act on. Returns a compact {success, memoryId, length}, same shape as muninn_memory_add.

  ConnectorAPI key

• engram_proofA

  EngramA

  Audit adoption before a rollout or when checking whether the workspace is using memory and reporting outcomes. Takes no arguments. Returns JSON with memory-bank breakdowns, learning-loop activity, proof points and a benchmark checklist. Does not change knowledge or run a benchmark. Use engram_setup for onboarding and engram_recall for task knowledge. Consumes workspace daily call quota. OAuth: memory:read.

  ConnectorOAuth

• store_memoryA

  MemoryRouterA

  Use this after each user message that contains anything worth knowing later, even if the user does not say 'remember this'. Default to saving: a missed memory costs far more than a redundant one, so when in doubt, save. Each of these is a trigger on its own: the user makes a decision, states a preference, gives a fact about a person, project, company, or tool, sets a plan or commitment, makes a correction, or reports progress or an outcome. Save one concise, self-contained memory per call, written so it makes sense on its own later, with the exact wording, numbers, dates, names, and identifiers the user gave; several facts in one message mean several calls. Record what the user actually said, not your inference. There is no update tool: to supersede outdated information, save the corrected fact and say what it replaces. Never save passwords, API keys, tokens or other credentials, payment card numbers, government ID numbers, or protected health information, and never save whole transcripts. Writes one memory to the user's OAuth-selected vault. If the user asks what was saved, answer truthfully from the tool result.

  ConnectorNo auth

• question_bank_listA

  Riddle Quiz MakerA

  Lists question banks. Scope "own" (the default) lists the banks of a project - the same ones the Creator shows; pass a projectId to look into another project, omit it for the project the API key is scoped to (your personal ones on a user API key). Paginated {items, page, pageSize, total, hasMore}. Scope "templates" lists the built-in starter banks instead - pre-filled banks anyone can copy with question_bank_duplicate to get real content immediately instead of starting empty. It takes riddleType and nothing else (a handful of them, nothing to page or search) and answers with id, title, PUBLISHED "itemCount", DRAFT "draftItemCount", which blockTypes those items are (null when that cannot be told yet) and a few example categories out of "categoryCount". A template that was never published reports "itemCount": 0 however many questions it holds - judge its real size by "draftItemCount", the number a duplicate would give you, and read the chosen id with question_bank_get and question_bank_get_items before duplicating. Every write here rejects a template id: a template is only ever changed through a copy of it.

  ConnectorNo auth

• question_bank_listA

  RiddleA

  Lists question banks. Scope "own" (the default) lists the banks of a project - the same ones the Creator shows; pass a projectId to look into another project, omit it for the project the API key is scoped to (your personal ones on a user API key). Paginated {items, page, pageSize, total, hasMore}. Scope "templates" lists the built-in starter banks instead - pre-filled banks anyone can copy with question_bank_duplicate to get real content immediately instead of starting empty. It takes riddleType and nothing else (a handful of them, nothing to page or search) and answers with id, title, PUBLISHED "itemCount", DRAFT "draftItemCount", which blockTypes those items are (null when that cannot be told yet) and a few example categories out of "categoryCount". A template that was never published reports "itemCount": 0 however many questions it holds - judge its real size by "draftItemCount", the number a duplicate would give you, and read the chosen id with question_bank_get and question_bank_get_items before duplicating. Every write here rejects a template id: a template is only ever changed through a copy of it.

  ConnectorNo auth

• sharia_compliance_screenerA

  gapup-mcpC

  Sharia compliance screening engine for Islamic banks, Sukuk issuers, Gulf sovereign funds, halal investment managers and MENA family offices. Zero competing MCP on this vertical. Standards supported: AAOIFI (default) | MSCI_Islamic | S&P_Sharia | DJIM Four modes: • company — Full Sharia screen of a listed company: business activity (halal/haram/mixed) + AAOIFI financial ratios (debt/market-cap <30%, interest-assets <30%, non-compliant revenue <5%) • instrument — Sukuk / halal fund classification by ISIN or name. Maps to known Sharia boards. • sector_screen — Industry classification (halal/haram/mixed) with rationale + examples. Static AAOIFI-based map covering 40+ sectors. • financial_ratios — AAOIFI ratio computation on fetched or provided financials. Prohibited activities screened: alcohol, gambling, pork, weapons, pornography, tobacco, conventional banking (riba), conventional insurance, adult entertainment, embryonic stem cells. Output includes compliance_status (halal/haram/doubtful_mixed/purification_required), purification_pct when applicable, P0/P1/P2 signals, quality_score, and sources.

  ConnectorNo auth

• web_searchA

  TeardropA

  Real-time web search via Tavily for current events, fact-checking, and research. Use search_depth='advanced' for complex queries (higher quality, higher cost) and topic='news' or 'finance' for headlines or market information. Use when: Choose when the task needs current, external, or factual information not available from on-chain or local data — e.g. news, prices, documentation, or fact-checking. Limitations: Returns web snippets, not raw page bodies; results depend on Tavily coverage. Advanced depth costs more. Not a substitute for on-chain tools like get_token_price. Alternatives: get_token_price, http_fetch

  ConnectorNo auth

• memory_snippetA

  ToolSnap MCPA

  Free, read-only. Returns static text: a short note on when ToolSnap tools suit a task, plus how to store a note in your runtime's memory. This tool saves nothing. Use only if your user asks about persistent memory or ToolSnap setup; show them the text and save it only with their approval.

  ConnectorNo auth

• sharia_compliance_screenerA

  mcp-knowledgeC

  Sharia compliance screening engine for Islamic banks, Sukuk issuers, Gulf sovereign funds, halal investment managers and MENA family offices. Zero competing MCP on this vertical. Standards supported: AAOIFI (default) | MSCI_Islamic | S&P_Sharia | DJIM Four modes: • company — Full Sharia screen of a listed company: business activity (halal/haram/mixed) + AAOIFI financial ratios (debt/market-cap <30%, interest-assets <30%, non-compliant revenue <5%) • instrument — Sukuk / halal fund classification by ISIN or name. Maps to known Sharia boards. • sector_screen — Industry classification (halal/haram/mixed) with rationale + examples. Static AAOIFI-based map covering 40+ sectors. • financial_ratios — AAOIFI ratio computation on fetched or provided financials. Prohibited activities screened: alcohol, gambling, pork, weapons, pornography, tobacco, conventional banking (riba), conventional insurance, adult entertainment, embryonic stem cells. Output includes compliance_status (halal/haram/doubtful_mixed/purification_required), purification_pct when applicable, P0/P1/P2 signals, quality_score, and sources.

  ConnectorNo auth

• sharia_compliance_screenerA

  gapup-mcpC

  Sharia compliance screening engine for Islamic banks, Sukuk issuers, Gulf sovereign funds, halal investment managers and MENA family offices. Zero competing MCP on this vertical. Standards supported: AAOIFI (default) | MSCI_Islamic | S&P_Sharia | DJIM Four modes: • company — Full Sharia screen of a listed company: business activity (halal/haram/mixed) + AAOIFI financial ratios (debt/market-cap <30%, interest-assets <30%, non-compliant revenue <5%) • instrument — Sukuk / halal fund classification by ISIN or name. Maps to known Sharia boards. • sector_screen — Industry classification (halal/haram/mixed) with rationale + examples. Static AAOIFI-based map covering 40+ sectors. • financial_ratios — AAOIFI ratio computation on fetched or provided financials. Prohibited activities screened: alcohol, gambling, pork, weapons, pornography, tobacco, conventional banking (riba), conventional insurance, adult entertainment, embryonic stem cells. Output includes compliance_status (halal/haram/doubtful_mixed/purification_required), purification_pct when applicable, P0/P1/P2 signals, quality_score, and sources.

  ConnectorNo auth

• solucortex_rememberA

  SoluCortexA

  Record a memory in SoluCortex (POST /memories). Call when closing a task or making a relevant technical decision. As an authorized agent (Bearer api_key), the memory is stored with status 'approved' and traced. Never store real secrets: if you find one, record location/type/severity and action taken, with a redacted reference.

  ConnectorNo auth

• web_searchA

  teardropA

  Real-time web search via Tavily for current events, fact-checking, and research. Use search_depth='advanced' for complex queries (higher quality, higher cost) and topic='news' or 'finance' for headlines or market information. Use when: Choose when the task needs current, external, or factual information not available from on-chain or local data — e.g. news, prices, documentation, or fact-checking. Limitations: Returns web snippets, not raw page bodies; results depend on Tavily coverage. Advanced depth costs more. Not a substitute for on-chain tools like get_token_price. Alternatives: get_token_price, http_fetch

  ConnectorNo auth

• tuqui_groupA

  MCP for Claude & ChatGPTA

  Read the workspace's groups (named sets of people) and manage who is in them. action='list' returns every group; 'get' one with its members; 'save' creates a group when 'group' is absent and renames it when present (workspace admins only); 'delete' removes one (admins only); 'add' puts people in a group (with role='manager' they join as managers, admins only) and never changes the role of somebody already in it; 'set_role' names or un-names managers (admins only); 'remove' takes people out; 'leave' takes YOU out of a group, which anyone in it may do. A group's managers may add and remove its plain members, not other managers. Name the group with 'group' (its name or id) and the people with 'to' (email, name or user id). Only people who already accepted their invitation can be in a group.

  Connector

  Destructive

  OAuth

• secedgar_get_institutional_holdingsA

  secedgar-mcp-serverA

  Read an institutional manager's 13F-HR information table for a quarter. company is the filer: a 10-digit CIK, ticker, or name; names outside the ticker file use EDGAR entity search, and ambiguous names return candidates. For managers holding an issuer, use secedgar_find_holders and pass its filer_cik here. Positions carry issuer, CUSIP, shares, whole-USD market value, option designation, and the accessions they came from. Same-period 13F-HR/A amendments are composed in acceptance order: a RESTATEMENT replaces the rows, a NEW HOLDINGS amendment adds its rows, and each amendment reports how it was applied. By default, sub-lines consolidate into positions sorted by value; consolidate=false preserves raw filing order, each filing's rows after the last. Page with limit, offset and returned next_offset. When canvas is available, the full composed positions are staged as df_<id>: inspect with secedgar_dataframe_describe, then aggregate or join on cusip + reporting_period with secedgar_dataframe_query. Managers below $100M in 13(f) securities may not file. Use secedgar_search_filings with forms=["13F-HR"] for broader search.

  ConnectorNo auth

• secedgar_find_holdersA

  secedgar-mcp-serverA

  Find which institutional managers reported holding an issuer, by searching 13F-HR information tables for one reporting quarter. This is the reverse direction of secedgar_get_institutional_holdings: that tool takes a manager and returns its portfolio, this one takes an issuer and returns its managers — pass a returned filer_cik plus the same quarter to read the actual position. Searching by cusip is the precise path, matching the identifier the information table itself carries; without it the issuer name is matched as a phrase against the filing text, which both over-matches (unrelated issuers sharing a word) and under-matches (managers writing the name differently), so prefer cusip whenever one is known. A CUSIP cannot be derived from a ticker here — read one off any 13F information table returned by secedgar_get_institutional_holdings. The returned list is unranked: the search index scores by text relevance, which carries no signal about position size, and no ordering by shares or market value is available without opening each filing. Managers holding under $100M in 13(f) securities are exempt from filing at all. When more managers match than fit inline, the full fetched set is staged as df_<id> — inspect it with secedgar_dataframe_describe, then analyze it with secedgar_dataframe_query.

  ConnectorNo auth

• get_top_hedge_fund_managersA

  TipRanksA

  Returns top-performing hedge fund managers ranked by success rate and returns. Args: num: Number of managers to return (default 10, max 100 — the upstream returns 100 for anything higher)

  ConnectorNo auth

• searchA

  WeftA

  Use this when the user wants to find anything the board remembers by keyword — tasks, sprints, recorded decisions or memory notes (e.g. 'find tasks about onboarding', 'why did we choose Neon'). Case-insensitive substring match across task titles and descriptions, sprint names and goals, decision titles and outcomes, and memory note content. Returns a ranked list of {id, title, url} suitable for citations, where id is prefixed by kind (task:, sprint:, decision:, memory:); at most 50 matches, narrow the query if truncated. Also how to find the open task that matches work the user is doing with you, so it can be claimed with start_task or closed with complete_task.

  ConnectorOAuth

• structured_extractionA

  Shoon A2A Trust Services (pilot)A

  Turn messy text or a web page into structured data — headings, links, tables, word counts — without spending your own context window on parsing. Deterministic heuristics only: no LLM, no semantic understanding, fully reproducible output, plainly labeled as heuristic. It extracts structure, not meaning. Pass raw text (up to 100,000 characters) or a URL. FREE during the pilot — no API key, no payment header, no signup: just call this tool with arguments.input and the task runs immediately. Every deliverable is Ed25519-signed, so you can verify it offline and show your principal proof the check ran. Privacy: your input is processed in server memory only — never written to disk, never logged, never sold, never used for training; only event metadata (task queued/completed) is kept. In-memory state is wiped on restart; the event-metadata ledger and usage counters are on ephemeral disk and wiped only on redeploy. Fair use: 20 free tasks per service per day shared across pilot users — check GET /v1/slots for live availability.

  ConnectorNo auth

• atl_complete_taskA

  Agent Traffic LabA

  Execute a user-authorized external search, public web/content extraction, summary, translation, or classification task. ATL selects an eligible verified provider or tool, performs the supported task where supply is available, may use bounded fallback on eligible failures, validates the result, and records execution Outcome. Routine use: this operation is suited to user-authorized external information tasks that need a completed result rather than routing evidence, even if no prior provider has failed. Rescue use: it can retry the original authorized task when a prior provider fails, times out, is rate-limited, is unavailable, or returns an invalid result. For routing evidence without execution, use the separate atl_decide tool. Do not duplicate work already completed, override a user-specified provider or tool, or infer authorization for private inputs. The task must be user-authorized; do not submit private or local-only information without permission. Supported capabilities and provider availability are limited, so completion is not guaranteed. No ATL API key is required for the public first-use path.

  ConnectorNo auth

• search_vc_emerging_managersA

  DFX IntelligenceB

  Venture managers with an emerging-manager score of 0.5 or more (few funds, recent first vintage, small reported assets), with the score, sector evidence, fund count and first vintage. Filter by sector, state or city, a fund launched since a date (launched_since), or first appearance on the SEC adviser roster since a date (new_adviser_since). Use for 'emerging managers investing in climate', 'emerging managers that launched funds this quarter', 'new venture managers in Massachusetts'. ACCESS: without a paid DFX plan on the vertical, a list returns its first 5 rows in full and a count of the rest by type (locked.count, locked.by_type), never the rows; a record names its subject and the first 3 related names per section; contact values (email, phone, profile URLs) and decision-maker names are never returned, only their types and counts. Every answer says what it withheld in `entitlement` and `locked`. Full access: DFX Intelligence, 7 days free at https://dfxintel.com/data-factory/plans.

  ConnectorNo auth