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683,545 tools. Updated 2026-10-21 06:33

"A tool for exploring code graphs across multiple projects" matching MCP tools:

  • Resolve a postal/ZIP code to its place name(s), state/region, and coordinates. `country_code` is a 2-letter ISO code (US, GB, DE, ...); `postal_code` format varies by country (e.g. "90210" for the US, "SW1A 1AA" style outward codes for the UK). Use for "what city is ZIP 90210 in", "where is postal code X in country Y", or any question that needs a place name/region/lat-lon from a postal code -- not for the reverse (place name to postal code) or for full street address lookup. Some postal codes span multiple places, in which case all of them are returned. Returns an error dict (never raises) if the code isn't recognized for that country.
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  • Search Epinu real-asset projects. Returns bounded summaries only; call projects_get_deep_dive for detailed packets. Results include public projects plus the token owner's own archived, draft, or unpublished projects for duplicate checks; another owner's unpublished projects are never returned. Available without a token for public results only.
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  • List the user's workspaces AND the projects inside each workspace — projects are returned nested, so this is also the tool for finding a `project_id` (there is no separate list_projects tool). Call it first whenever another tool needs `workspace_id` or `project_id` (`list_transcriptions` filters, `find_subjects`, `list_open_questions`, `search_meeting_transcripts`). Returns id, name, type (personal/team), your role, and per-project recording counts. Cheap — one small response.
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  • Browse PRE-COMPUTED causal impact graphs (event → sectors → stocks). Thousands of these already exist. Reading one is instant and free, whereas `analyze_event_impact` runs a fresh LLM pass and costs credits, so a stored graph is the cheaper path when one exists for the event. Filter by symbol or sector to find graphs where that name is a node.
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  • Lists the active projects in the user's organization. FREE — database only, charges no credits. Use this whenever you need a `projectId` for another MisarSEO tool. Returns `{id, name, domain, url}` per project; pass the `id` value as `projectId`. `domain` is null for a project that has never had one set, which is not a missing lookup — get_keyword_gap and get_link_intersect read the project's own domain from this record and refuse to run without it. Archived projects are not listed.
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  • PERMANENTLY delete a space and everything in it. SuperAdmin only; irreversible. Drops the space's named graphs and the ingestion-history (delta) graphs that hold copies of their data, removes the graphs' registry entries and the space's RDF manifest, and deletes the space with its members, access rules, search entries and SynthScholar reviews (with their kept files). EVERY SUBSPACE below it, at any depth, is deleted the same way, deepest first (`subspaces_deleted`). Each deletion is kept in the provenance graph (who, when, which graphs: prov:invalidated). `confirm_slug` must equal `slug`. Before calling: show the user the space AND its subspaces (brainkb_space_tree) and what will be lost, and get their explicit confirmation in this conversation. Never call it to tidy up on your own initiative. A non-SuperAdmin caller gets 403; if a step fails (502) the message says which spaces were already deleted — the rest is untouched and it is safe to retry.
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Matching MCP Servers

  • A
    license
    Not graded
    quality
    A
    maintenance
    Enables AI coding agents to collaborate on the same project by sharing session briefs and reading each other's native transcripts, memories, and instructions in place, with zero-copy, across different agent tools.
    58 npm
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Serves a central playbook hub that provides situational guidance to LLM agents, lets clients list available playbooks, fetch procedural guidance, and apply graph mutations for persistent self-evolution.
    MIT

Matching MCP Connectors

  • World Bank Projects & Operations MCP.

  • Personal project management with AI agents: numbered tickets, statuses, files, a thread per ticket.

  • Two players side by side: identity, account age, visibility, Steam bans, FACEIT and shared friends (compared over the full friend lists). HEAVIEST tool - it builds two summaries plus both friend graphs; for a single player prefer steam_summary.
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  • Look up the WHO ATC (Anatomical Therapeutic Chemical) classification(s) for a drug by name. Use this tool to: - Find the ATC code for a medication (e.g., "metformin" → A10BA02) - Identify the therapeutic and pharmacological class hierarchy - Cross-reference drugs with their international ATC codes Returns one entry per ATC code the drug belongs to. A single-ingredient drug typically maps to one substance-level code; combination products map to multiple. ATC codes are international (WHO Collaborating Centre); this tool retrieves them via NLM RxClass. Input is a drug NAME (brand or generic, English/US naming as in RxNorm). A name RxNorm does not recognize, or a drug without an ATC mapping, returns an empty `matches` list with an explanatory note — not an error; try the generic name, or resolve the name first with rxnorm_search. Which ATC tool: start here when you have a drug name; use atc_lookup when you already have a class code (level 1-4, e.g. "A10BA") and want its name; use atc_members to list the drugs inside a class.
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  • Your workspace: every organisation you belong to (id, name, org number, your role), each with the active projects in it you are a member of (id, name, project number, your role, document count, last-updated time). Start here — a projectId from this listing is the input to traceable_workspace_map. Organisations you belong to but have no project in are listed with an empty projects array: their organisationId is what traceable_library_search and traceable_workspace_templates take. Projects with no organisation come back under projectsWithoutOrganisation. Pass organisationId to narrow to one organisation, which is how you disambiguate same-named projects across organisations.
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  • Query the NYISO generator + load interconnection queue — New York ISO's public waiting line of projects that have REQUESTED to connect to the New York grid. Uniquely among ISOs, NYISO publishes a Load Projects tab — load interconnection requests (large-load demand), served as-reported — and since its 2026-07 edition tags each load request with its own `End-Use` class (`end_use`, e.g. DAT / DAT-AI / DAT-CM, served verbatim). Returns cited, project-level records with NYISO's full published structure across every lifecycle tab (nine tabs through 2026-06; seven since NYISO's 2026-07 restructure): summer and winter peak megawatts kept SEPARATE (`sp_mw` = SP, the max summer output; `wp_mw` = WP, the max winter output), the Load Projects tab's `peak_mw_load` with NYISO's own `end_use` class and `sis_bundle` study-batch code (both 2026-07 onward, null before), the as-reported study-phase code (`study_status_code` — NYISO's numeric key, labeled `S` through 2026-06 and `Project Status #` / `NYISO Status` since), the request `record_type` and `project_type`, the `type_fuel` codebook, the energy-storage capability, the NYISO load `zone` (A–K), location (`state`, `county`, derived `county_fips`, `point_of_interconnection`, `utility`), and lifecycle dates (`ir_date`, `last_update`, the milestone dates, and the Year/Qualifier `proposed_cod` kept verbatim). Group or filter by `application_status`, `sheet_name`, `state`, `county_fips`, `study_status_code`, `record_type`, `type_fuel`, `zone`, `utility`, `studies_available`, or `end_use`; filter `ir_date` by the `ir_date_from` / `ir_date_to` range. Pass each parameter as a top-level key of `params` (flat — not nested). Example: `{"application_status": "ACTIVE", "type_fuel": "S"}` for active solar requests; `{"sheet_name": "Load Projects"}` for the load interconnection requests; `{"end_use": "DAT-AI", "application_status": "ACTIVE"}` for the load requests NYISO itself codes DAT-AI; `{"group_by": ["application_status"]}` for requested MW and project counts by lifecycle. Returns JSON aggregates with citations and optional row-level records when `include_records` is true; every value carries `source`, `as_of`, and a `source_row` verifiable with get_source_evidence_v1. `sp_mw` / `wp_mw` / `peak_mw_load` are REQUESTED capacity, not built: historically the large majority of queued megawatts withdraw before they are built, so the queue is withdrawn-dominated. NEVER read a queue-MW total as installed or operating capacity — it is additive across distinct project-rows but is a REQUESTED total only. NYISO publishes summer (SP) and winter (WP) peak MW separately — they are served under NYISO's own names and never blended into one nameplate. Scope by `application_status` (ACTIVE / WITHDRAWN / IN_SERVICE / AFFECTED_SYSTEM / AFFECTED_SYSTEM_WITHDRAWN — the lifecycle tab's reading, overridden to the withdrawn form when a row carries NYISO's own status code 0, per the workbook's printed '0=Withdrawn' key) or by `sheet_name`; the `In Service` tab is the built reading. A project may appear on more than one tab (the grain is sheet + queue_position), so the counts are project-rows, not deduped projects. For built/operating capacity use query_power_capacity_v1. NYISO only — never summed, deduped, or compared across ISOs. For the MISO interconnection queue use query_power_interconnection_queue_v1; for PJM use query_power_interconnection_queue_pjm_v1 (or query_power_interconnection_queue_pjm_cycle_v1 for PJM's cluster/cycle grid); for the CAISO (California) queue use query_power_interconnection_queue_caiso_v1; for the ISO-NE (New England) queue use query_power_interconnection_queue_isone_v1; for the ERCOT (Texas) queue use query_power_interconnection_queue_ercot_v1; for the SPP (central US) queue use query_power_interconnection_queue_spp_v1. NYISO's Load Projects tab is served as-reported: `end_use` is NYISO's OWN classification (NYISO publishes no key for the codes), and this tool does NOT infer an end use NYISO did not print — interpretation beyond the code is the analyst's, from cited rows.
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  • Get detailed information about a specific MCP tool, scoped to one product. Pass both the productSlug and the tool name — same-named tools across products are distinct. Response: { tool: { normalizedName, displayName, description, inputSchema, productSlug, productName, serverQualifiedName, isRemoteCapable, accessModel, healthScore, readOnly, destructive, tier, unverified, verifiedAt, position (always 1), rank (always 1.0) } }. Errors: { error: { code: 'not_found', ... } }.
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  • Get detailed information about a specific MCP tool, scoped to one product. Pass both the productSlug and the tool name — same-named tools across products are distinct. Response: { tool: { normalizedName, displayName, description, inputSchema, productSlug, productName, serverQualifiedName, isRemoteCapable, accessModel, healthScore, readOnly, destructive, tier, unverified, verifiedAt, position (always 1), rank (always 1.0) } }. Errors: { error: { code: 'not_found', ... } }.
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  • Resolve the caller's identity from their API key or OAuth token. Call this FIRST when the user asks about "my graph" but has not provided a graph ID. For a graph/service key, `me` resolves to a Graph: use `id` as the graphId and `variants[].name` as the variant for the graph-scoped health-check tools, so the user does not have to supply either. For a user (personal key or OAuth), `me` resolves to a User instead: there's no single graph, so each org membership's `graphs[].id` / `graphs[].variants[].name` lists the graphId/variant options the graph-scoped tools need, across every org the user belongs to. Also handles service-account keys.
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  • Check projects for a Google account (or all). NOTE: for the credit BALANCE and a full at-a-glance overview, prefer `flow_dashboard()` — it returns real credit numbers per account + totals. This tool only returns the project list.
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  • Compares the same Bible passage across multiple Bible versions and returns a Markdown side-by-side style comparison. Use this for translation comparison, sermon preparation, or study questions. For a single version, use get_passage.
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  • Resolve country and area names to Comtrade M49 numeric codes used in all data queries. Accepts a partial name, full name, or ISO alpha-2/alpha-3 code (e.g. "United States", "USA", "US"). Returns matching entries with their numeric code, ISO identifiers, and a validAsReporter flag — regional groupings like "World" (code 0) are valid partners but not valid reporters. Use this before any trade data tool that requires reporter_code or partner_code. To aggregate across all partners, use partner code 0 (World) — no lookup needed.
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  • A market's or a hospital's negotiated prices across a whole SERVICE LINE in ONE call: GI endoscopy, MRI, CT, cardiology, orthopedics, maternity, lab, and the rest of CMS's 70 shoppable services grouped the way buyers shop. For each code: how many hospitals price it, the market median (median of hospital medians), the 25th to 75th percentile, the low and high, and the multiple of Medicare. For each hospital: its price per code and a service-line index (its typical multiple of Medicare across the line), ranked low to high. ARGS: service_line (call with service_line='list' to see every line and its codes) or codes (up to 30 CPT/HCPCS or MS-DRG). state (2 letters, required: prices are stored by state). Optional: hospitals (up to 25 CCNs) or cbsa (CMS's wage-index CBSA or metro division: Miami 33124, Houston 26420) to narrow the market; line_of_business (commercial default, medicare_advantage, medicaid, exchange, unspecified); billing_class (institutional default = the facility price; professional = the physician fee); limit (hospitals listed, default 25, max 100). RULES the tool applies: posted negotiated DOLLAR rates the comparability screen calls real (never a percent of charges); one median per method (case rate, fee schedule, per diem never mixed); line of business never pooled; a DRG is a whole inpatient stay, a CPT code one procedure. These are prices hospitals post, not paid claims. For one code in depth (per payer, methodology detail) use compare_hospital_rates.
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  • Point VARRD's autonomous AI in a direction and let it discover edges for you. Give it a topic and it draws from one of the most comprehensive market structure knowledge graphs ever built — containing ideologies and theories, not statistics — so it generates genuinely novel hypotheses rather than overfitting to what already worked. BEST FOR: Exploring a space broadly. Give it 'momentum on grains' and it might test wheat seasonal patterns, corn spread reversals, or soybean crush ratio momentum. It propagates from your seed idea into related concepts you might not think of. Returns a complete result — edge or no edge, stats, trade setup. Each call tests ONE hypothesis through the full pipeline (~$0.25/idea). Call again for another idea. Use 'varrd_ai' instead when YOU have a specific idea to test and want full control over each step.
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  • Get the profile of one person in crypto by id: name, description or bio, teams_count, positions held, and linked projects plus social and code accounts. Use for 'who is Vitalik Buterin', 'background on Charlie Lee', 'projects tied to this founder'. Find the personId first with search or resolveId using type 'people'; this tool needs the exact id, not a name. Read-only. Params: personId (required) is a canonical person id such as 'vitalik-buterin' or 'satoshi-nakamoto'; an unknown id returns not found. No API key required.
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  • List standard PaperDock projects accessible to the connected account, including its current role and effective MCP capabilities for each. Use projectId only for subsequent tool calls and do not show it unless explicitly requested.
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  • Purpose: query the global rCB company and project database (132 records: domestic / international / equipment vendors) by segment, region, status and keyword - the discovery tool for capacity projects and players in the chemical recycling industry. Guidelines: combine segment (rcb/virgin/conductive) + status ('在建','规划','under construction') + location; for capacity-project lists filter status, then pair with get_company for full entity detail. Limits: company-level records only - capacity is a record attribute, not a separate projects table; confidence varies A/B/C. Ex: 'rCB projects under construction in China', 'conductive carbon black producers worldwide'.
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