"namespace:io.github.Assay-Org" matching MCP tools:

• upgrade_plan

  Dock

  Move the caller's org to Pro ($19/mo flat, 10 agents, 20 members, 200 workspaces, 5k rows per workspace) or Scale ($49/mo flat, 30 agents, 60 members, 1,000 workspaces, 50k rows per workspace). The bill doesn't change as you add agents. If the org has no card on file, returns a Stripe Checkout URL for the human. If a card exists, a live plan switch (Pro ↔ Scale) is consent-gated. Two consent surfaces, you pick via `mode`: (1) `chat` (default): FIRST call returns { status: 'confirmation_required', confirm_token, message, expires_in }; surface the message to your user and re-call within 60s with `confirm_token` set. (2) `web`: FIRST call returns { status: 'approval_required', approval_url, polling_url, expires_at }; print the approval_url in chat for your user to click and approve in their browser, then poll `polling_url` for the result. No-card and same-plan paths execute on the first call (no money changes hands).

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• entity_profile

  Lens Org

  "Tell me about X" / "research Acme" / "brief me on Tesla" / "what does Apple do" / "company profile for Microsoft" / "give me the rundown on NVDA" / "everything you know about $TICKER" — full cross-source profile of a US public company in ONE parallel call. ALWAYS PREFER over chaining single-pack SEC/XBRL/news lookups when the user asks for a holistic view. Fans out across SEC EDGAR, XBRL, USPTO, news, GLEIF and returns: cik + company_name; recent_filings (up to 5 with pipeworx://edgar/company/{cik}/filings/{accession} URIs); fundamentals (LATEST 10-K Revenues + NetIncomeLoss + Cash, sorted period_end DESC); patents (USPTO PatentsView API sunset May 2025 — soft-fails until reactivated); recent news mentions via GDELT→GNews fallback; LEI via GLEIF. Pass ticker "AAPL" or zero-padded CIK "0000320193" — names not supported (use resolve_entity first if you only have a name).

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• downgrade_plan

  Dock

  Schedule a downgrade to Free at the end of the current billing period. The org keeps its current plan (Pro or Scale) and paid limits until the period ends. No-op when already on Free. Consent-gated. Two consent surfaces, you pick via `mode`: (1) `chat` (default): FIRST call returns { status: 'confirmation_required', confirm_token, message, expires_in }; surface to your user and re-call within 60s with `confirm_token` set. (2) `web`: FIRST call returns { status: 'approval_required', approval_url, polling_url }; print approval_url in chat, user clicks + approves, then poll polling_url for the result.

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• ip_lookup

  drwho.me

  Context lookup: Resolve an IPv4 or IPv6 address to its geolocation, ASN, org name, and city/country. Use when you need network or location context for a raw IP address; prefer dns_lookup or dossier_dns for hostname resolution. Queries ipinfo.io with a server-side token — the token is never exposed to callers. Returns a JSON object with fields ip, city, region, country, org, loc, and timezone. On failure, returns an error string describing what went wrong.

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• lion_enrich_v1

  lion-x402

  VERIFIABLE keyless company/org enrichment - unlike black-box aggregators, every response is cryptographically ATTESTED (Ed25519 over a SHA-256 of the body; verify offline via ?verify_helper=1) so your agent can PROVE the data is untampered, and every field carries an explicit source + confidence. Field-granular: name ONLY the fields you need and pay only for those (0.002 USDC per field on Base, vs flat-bundle incumbents). Each requested field returns {value, confidence 0-1, source, as_of}. Available fields (expanded 2026-06 for better coverage+conversion): firmographics (inception_year, employees, country, industry, parent_org, stock_exchanges, legal_form, website, description, employees_count, employees_as_of, industry_list, stock_exchanges_list, legal_form_detail) from Wikidata CC0; financials (cik, sic_industry, exchanges, fiscal_year_end, state_of_incorporation, revenue_usd, net_income_usd, total_assets_usd, recent_filings) from SEC EDGAR; web-attention (attention_score, momentum, mention_count). Clearer attested output: top-level .attestation (alg/signer/verify_helper_url/note) + .sources_covered on 200 bodies for agent moat parsing. Use a company NAME for firmographic/web fields, a US TICKER for financial fields. Keyless, no API key, no signup; company/org-level public data only, no PII. Pay-for-what-you-use in USDC on Base via x402 (total = number_of_fields x 0.002). DROP-IN for Apollo Org Enrich: pass domain + format=apollo_org for an Apollo-shaped organization{} object at ~$0.018 (vs Apollo org-enrich $0.0495), keyless, no PII. [x402 paid tool: GET /api/x402/enrich-v1-json?src=mcp returns the 402 challenge with the canonical payTo; price 0.002 USDC on Base eip155:8453.]

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• polymarket_arbitrage

  Lens Org

  REQUIRES one of `event` (single-event mode) OR `topic` (cross-event mode) — call with no args fails. Find arbitrage opportunities on Polymarket via monotonicity violations + partition-sum checks. `event` (recommended for a specific market): pass a Polymarket event slug like "fed-decision-may-2026" or "when-will-bitcoin-hit-150k"; walks child markets, checks date-axis / threshold-axis ordering AND computes the partition_check (sum of YES prices across mutually-exclusive legs — should ≈1; deviations >3pp emit a BUY/SELL EVERY LEG signal). `topic` (for cross-event scanning): pass a seed question like "Strait of Hormuz traffic returns to normal" or "Fed rate decision"; searches related events across the platform, flattens markets, runs the comparator on the union. Cross-event mode catches "...by May 31" vs "...by Jun 30" patterns that single-event misses. SEMANTIC ANCHOR: cross-event pairs require ≥0.30 Jaccard similarity on question tokens (prevents Powell-Fed-Pause being paired with Powell-DOJ-probe); skipped_low_similarity surfaces the rejected pair count. PARTITION FILTER: drops will-person-X / will-manager-Y / will-someone-else- placeholder slugs; partitions with >20% placeholder fraction return null arb signal. Response: opportunities[] (gap_pp, suggested_trade, reasoning, monotonicity violation context), and in event mode partition_check{sum_yes_prices, gap_from_1, placeholders_filtered, suggested_trade}. FILL CHECK: when the partition signal fires, arbitrage.fill_check prices it against live CLOB depth (theoretical_edge_pp_at_book vs realizable_edge_pp at 1000 shares/leg, thin_legs[]) — realizable_edge_pp ≤ 0 means the overround exists only at last-trade, not in the book; do not trade it. For custom sizing use polymarket_fill_risk.

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• search_parts

  sheetsdata-mcp

  Search for electronic components by part number, description, or keyword. Start here — this is the best entry point for finding components. Queries all configured providers in parallel. Results are merged by MPN with indicative pricing and stock from each source. Each result includes datasheet_status so you know which parts have datasheets available for read_datasheet. Best with specific part numbers or keywords (e.g. 'STM32F103', 'buck converter 3A'). For spec-based discovery in natural language, use search_datasheets instead. When the calling org has a private parts library, matching org-uploaded parts are appended to the results with source='private_library' and any tags the team has applied — including private parts whose MPN, manufacturer, description, type, category, or tag matches the query. DATASHEET STATUS VALUES: - 'ready' — extracted and indexed; call read_datasheet, search_datasheets, or analyze_image. - 'extracting' / 'in_progress' / 'queued' / 'pending' — extraction running or scheduled. Poll check_extraction_status every 5-10s until 'ready' or 'failed'. Typical time: 30s-2min. - 'not_extracted' — known part but datasheet hasn't been fetched yet. Trigger it via prefetch_datasheets (cheapest) or by calling read_datasheet (auto-triggers on first read). - 'no_source' — we couldn't find a public datasheet URL for this MPN. First, retry prefetch_datasheets in 10-30s (the URL resolver re-runs and often finds a source on the second pass). If still 'no_source', the agent can upload the PDF manually via request_datasheet_upload + confirm_datasheet_upload (see those tools). Org-uploaded datasheets are private to the org. - 'unsupported' — PDF exists but can't be extracted (scanned image-only, encrypted, or corrupted). Upload a clean text-based PDF via request_datasheet_upload to override. - 'failed' / 'error' — extraction errored. The response includes the error reason. Retry via prefetch_datasheets or escalate to support. - 'rejected' — input wasn't a real MPN (bare value like '100nF', description, or reference designator). Fix the input and re-call. - 'deduplicated' — another part in the family already has this datasheet; same content is returned under the primary MPN.

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• compare_entities

  Lens Org

  "Compare X and Y" / "X vs Y" / "X versus Y" / "which is bigger / better / larger / more profitable" / "rank these companies" / "head to head" — side-by-side comparison of 2–5 companies or drugs in ONE parallel call. ALWAYS PREFER over sequential single-pack lookups when comparing entities. type="company" pulls LATEST 10-K revenue + net income + cash + long-term debt from SEC EDGAR/XBRL (off-calendar fiscal years handled correctly — AAPL Sep, NVDA Jan, etc.). type="drug" pulls FAERS adverse-event counts, FDA approval counts, active trial counts. Results sorted by primary metric so "largest" / "most" / "biggest" reads off the top of the response. Returns paired data + pipeworx:// citation URIs per entity. Replaces 8–15 sequential lookups.

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• read_datasheet

  sheetsdata-mcp

  Read from a component's datasheet. Two modes: **Section mode** (default): Returns a named section. Start with section='summary' to get an overview and a list of available_sections. Then request specific sections by name. Section names are dynamic — any heading in the actual datasheet works (e.g. 'register_map', 'i2c_interface', 'power_management'). If a section name isn't found, automatically falls back to search mode. **Search mode**: Semantic search within the part's datasheet. Best for targeted questions (register bit fields, I2C config, specific specs). Use when you need to find specific information rather than a whole section. First call for a new part triggers extraction (30s-2min). Subsequent calls are cached. **Datasheet vs Reference Manual**: Manufacturer datasheets cover high-level specs, pinout, absolute maximum ratings, and package info. For microcontrollers (STM32, nRF52, RP2040), register-level programming details (I2C CR1/CR2, DMA config, interrupt bits) are in a separate Reference Manual, not the datasheet. The summary's available_sections will show what's actually present. The part_number must be a specific manufacturer part number (e.g. 'TPS54302', 'STM32F446RCT6') or LCSC number (e.g. 'C2837938'). Do NOT pass bare component values ('100nF', '10K'), descriptions, or reference designators. DATASHEET STATUS VALUES: - 'ready' — extracted and indexed; call read_datasheet, search_datasheets, or analyze_image. - 'extracting' / 'in_progress' / 'queued' / 'pending' — extraction running or scheduled. Poll check_extraction_status every 5-10s until 'ready' or 'failed'. Typical time: 30s-2min. - 'not_extracted' — known part but datasheet hasn't been fetched yet. Trigger it via prefetch_datasheets (cheapest) or by calling read_datasheet (auto-triggers on first read). - 'no_source' — we couldn't find a public datasheet URL for this MPN. First, retry prefetch_datasheets in 10-30s (the URL resolver re-runs and often finds a source on the second pass). If still 'no_source', the agent can upload the PDF manually via request_datasheet_upload + confirm_datasheet_upload (see those tools). Org-uploaded datasheets are private to the org. - 'unsupported' — PDF exists but can't be extracted (scanned image-only, encrypted, or corrupted). Upload a clean text-based PDF via request_datasheet_upload to override. - 'failed' / 'error' — extraction errored. The response includes the error reason. Retry via prefetch_datasheets or escalate to support. - 'rejected' — input wasn't a real MPN (bare value like '100nF', description, or reference designator). Fix the input and re-call. - 'deduplicated' — another part in the family already has this datasheet; same content is returned under the primary MPN.

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• dispatch_social_listening_researcher_async

  Heista

  Dispatch to the SOCIAL LISTENING RESEARCHER — multi-platform community-signal interpretation. Use for: "what are practitioners saying about X across platforms / what jargon is emerging in field Y / what is the cross-platform discourse around brand/topic Z". Treats T3 community sources as primary data, distinguishes cross-platform patterns from single-platform noise. ≥3 platforms sampled per brief. Returns: Signal map (Signal / Platforms / Volume / Sentiment + recency) + Per-platform evidence trail + Cross-platform vs single-platform classification + Confidence flag + Sources. NOT for: single-source thematic work (use dispatch_qualitative_researcher) / numerical sentiment effect sizes (use dispatch_quantitative_researcher). ASYNC version: returns { job_id } immediately, the specialist runs durably on a Vercel Workflow (no 300s timeout). Use this version when the specialist is expected to take >90s. Call get_dispatch_result(job_id) periodically (respect wait_ms_hint in the response) until status === 'completed' or 'failed'. Idempotent: same brief + same org reuses the same job_id, so retries don't fan out duplicate runs.

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• nonprofit_get_organization

  nonprofit-explorer-mcp-server

  Full profile for a single tax-exempt org by EIN: legal name, address, NTEE classification, 501(c) type, IRS ruling date, and a financial snapshot from the most recent Form 990 filing (revenue, expenses, assets, net assets, and the source PDF link). Use nonprofit_search first if you only have an org name — this tool requires an EIN. Data lags 1–2 years; the tax year is shown prominently. Data from ProPublica Nonprofit Explorer, sourced from IRS Form 990 filings.

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• lion_enrich_v1

  LION - keyless x402 data + RPC for agents

  VERIFIABLE keyless company/org enrichment - unlike black-box aggregators, every response is cryptographically ATTESTED (Ed25519 over a SHA-256 of the body; verify offline via ?verify_helper=1) so your agent can PROVE the data is untampered, and every field carries an explicit source + confidence. Field-granular: name ONLY the fields you need and pay only for those (0.002 USDC per field on Base, vs flat-bundle incumbents). Each requested field returns {value, confidence 0-1, source, as_of}. Available fields (expanded 2026-06 for better coverage+conversion): firmographics (inception_year, employees, country, industry, parent_org, stock_exchanges, legal_form, website, description, employees_count, employees_as_of, industry_list, stock_exchanges_list, legal_form_detail) from Wikidata CC0; financials (cik, sic_industry, exchanges, fiscal_year_end, state_of_incorporation, revenue_usd, net_income_usd, total_assets_usd, recent_filings) from SEC EDGAR; web-attention (attention_score, momentum, mention_count). Clearer attested output: top-level .attestation (alg/signer/verify_helper_url/note) + .sources_covered on 200 bodies for agent moat parsing. Use a company NAME for firmographic/web fields, a US TICKER for financial fields. Keyless, no API key, no signup; company/org-level public data only, no PII. Pay-for-what-you-use in USDC on Base via x402 (total = number_of_fields x 0.002). DROP-IN for Apollo Org Enrich: pass domain + format=apollo_org for an Apollo-shaped organization{} object at ~$0.018 (vs Apollo org-enrich $0.0495), keyless, no PII. [x402 paid tool: GET /api/x402/enrich-v1-json?src=mcp returns the 402 challenge with the canonical payTo; price 0.002 USDC on Base eip155:8453.]

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• manage_organization

  Almured

  Get information about the organization your agent is linked to. WHEN TO USE - You want to know which organization your agent is operating under. - You need to list the members of your linked org (e.g., to decide which member should review a deliverable). WHEN NOT TO USE - To create, update, or delete organizations — those actions require human authentication via the REST API (POST /api/v1/organizations, PATCH /api/v1/organizations/{slug}, etc.). BEHAVIOR - Read-only. Auth required: agent API key. Rate-limited to 60 req/min. - Returns an error if your agent is not linked to any organization (agents.org_id IS NULL). - action='get_my_org': returns org name, slug, tier, owner, and member count. - action='list_members': returns human_id and role for each member. WORKFLOW - Check your org membership before referencing org context in deliverables or communications. - To link your agent to an org, a human admin must call POST /api/v1/organizations/{slug}/agents.

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• list_organisations

  Xero

  List the Xero organisations (tenants) the connected account can access, with tenant id, name, and type. Xero accounting is multi-tenant — use this first to discover the tenant_id for a specific organisation, then pass it to the other accounting tools to target that org.

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• polymarket_fill_risk

  Lens Org

  Realizable-vs-theoretical edge check against live CLOB order-book depth. REQUIRES one of `market` (single-market mode) or `event` (basket/partition mode). SINGLE-MARKET: pass a market slug/URL + side (buy_yes|sell_yes|buy_no|sell_no, default buy_yes) + size_usd (default 1000 — max spend on buys, target proceeds on sells); walks the ladder and returns top_of_book, vwap_fill_price, slippage_pp, shares_filled, max_fillable_usd, and a verdict (clean|degraded|cannot_fill). BASKET: pass an event slug/URL + side (sell_yes = capture overround by selling every leg, buy_yes = capture underround; default auto from partition sum) + size_usd interpreted as settlement notional S (shares per leg; each share pays $1); returns theoretical_sum vs realizable_sum (top-of-book vs VWAP across all legs), capture_ratio, profit_usd at executed size, per-leg fill detail, thin_legs[], max_clean_notional_usd, and forced_directional_risk naming the legs most likely to strand you unhedged. USE THIS before acting on any polymarket_arbitrage SELL/BUY-EVERY-LEG signal or any polymarket_edges trade above ~$500 — theoretical overround on thin books is not capturable, and partial basket fills convert an arb into an unhedged directional position (the dominant loss mode in real arb-bot P&L).

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• lifecycle_history

  Servicialo MCP Server

  Get the SCEvent stream for a session — all observed transitions reconstructed from status_history. Returns events[] with discriminated union by event_type (sc.scheduled, sc.confirmed, sc.completed, sc.delivered, sc.verified, sc.cancelled, etc.), plus stream_completeness ("complete" | "partial_pre_trigger") and pagination cursor. Events carry origin="reprojected_from_status_history" and canonical SCEvent shape per docs/protocol/sc-event-canonical-schema-2026-04-18.md §7.2. Filters: event_types (e.g. ["sc.delivered"]), from_sequence (cursor), limit (default 50, max 500). PII note: delivery_proof clinical fields (summary, outcome, next_steps) are returned only for admin-scoped keys. IMPORTANT: backfilled sc_resolved timestamps do NOT emit sc.resolved events in this stream (Forma B, see decisions log 2026-04-18-lifecycle-history-backfill-policy). For current resolution status, use lifecycle_get_state.sc_resolution. Requires X-Org-Api-Key.

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• pipeworx_trending

  Lens Org

  What other AI agents are calling on Pipeworx right now. Returns the top tools, top packs, and total call volume over a recent window (24h, 7d, or 30d). Useful for: (1) discovering what data sources are hot for current events, (2) confirming a popular tool is the canonical choice before asking your own question, (3) seeing whether your use case aligns with what most agents need. Self-aggregating signal — derived from CF analytics-engine, no PII, just (pack, tool, count). Cached 5min-1h depending on window.

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• polymarket_kalshi_spread

  Lens Org

  Cross-venue spread between Kalshi and Polymarket for the same resolving question. The two venues sometimes price the same outcome 2-25pp apart because their participant pools differ — when the bet shapes are equivalent that delta is a real signal, when they aren't the tool says so. TWO MODES: (1) `topic` — 10 pre-mapped macro shortcuts ("fed", "btc", "cpi", "gdp", "sp500", "recession", "next_pope", "next_uk_pm", "next_israel_pm", "2028_president") auto-fetch the matching event on each venue. (2) explicit `kalshi_event_ticker` + `polymarket_event_slug` for custom pairings. RESPONSE: each venue's leg-by-leg prices (raw probability 0-1) plus matched spread[].top_spreads_pp (Kalshi − Polymarket) where the same outcome shows up on both sides. SAFETY FIELDS: compatibility_warning fires in two cases — (a) matched_pairs:0 with skipped_cross_type>0 means the venues frame the topic with non-equivalent bet shapes (e.g. Kalshi range_bucket point-in-time vs Polymarket cumulative_threshold touch-anywhere — no arb exists), (b) matched_pairs:0 with skipped_cross_type:0 and both venues >5 legs means the token-overlap matcher found nothing in common — events likely semantically unrelated despite the topic keyword. temporal_alignment{polymarket_month,kalshi_month,aligned} tells you whether the two events resolve in the same calendar period; aligned:false means spreads are mathematically meaningless across the temporal gap. skipped_cross_type / skipped_cross_subtype counters expose how many leg-pair comparisons were dropped (cross-type = metric_type mismatch like MoM vs YoY; cross-subtype = inequality mismatch like cum_ge vs cum_le). Real cross-venue spreads are rarer than the macro-shortcut list suggests — most pre-mapped topics return compatibility_warning today; pre-mapped ≠ tradeable.

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• get_adoption_stage

  Stratalize Governance

  Public mode returns FS AI RMF framework reference data only — not org-specific scoring. Use when assessing an organization FS AI RMF governance maturity stage or preparing a regulatory AI roadmap presentation. Returns INITIAL, MINIMAL, EVOLVING, or EMBEDDED classification with stage criteria and remediation priorities. Example: EVOLVING stage organizations have documented AI policies but lack systematic model validation — typical gap to EMBEDDED is 18-24 months and 12-15 additional controls. Connect org MCP for org-specific scoring. Source: FS AI Risk Management Framework.

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• list_webhooks

  Dock

  List webhook endpoints registered on an org. Returns each webhook's id, url, subscribed events, active flag, and an 8-char `secretPreview` of the signing secret (full secret is only returned at create / rotate-secret time). Any org member (user or agent) can list. Use to audit what's subscribed before adding or removing endpoints.

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