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458,158 tools. Updated 2026-08-14 23:05

"Exploring RAG through defined workspaces" matching MCP tools:

  • add_column

    Dock

    Append a single column to a workspace's table schema. Position is auto-computed as next-after-max so the contiguity invariant holds. Key collision (409) if a column with the same key already exists. Editor role required. Use this for per-column additions; use get_workspace_schema + update_workspace_columns (PUT on /columns) for full schema replacement or reordering. Multi-surface workspaces accept `surface_slug` to target a specific table sheet (use `list_surfaces` to enumerate); omit to fall through to the workspace's primary table surface.
    Connector

  • purchase_enterprise_license

    Opedd — Licensed Content for AI

    Purchase a bulk enterprise license covering multiple publishers (Phase 10). Returns a Stripe client_secret for payment completion + the enterprise_license_id. After payment, an ent_* access key is emailed to buyer_email. Scopes: 'custom' (pass-through publisher_ids), 'platform_wide' (auto-resolve all opted-in publishers), 'filtered' (Phase 10 filter_rules). License tiers: 'rag' (= ai_retrieval), 'training' (= ai_training, flat-fee not metered), 'inference' (= ai_retrieval), 'full_ai' (writes both retrieval + training records). The buyer must accept the Opedd Master Services Agreement (opedd.com/terms) before purchase — set terms_accepted=true to record it.
    Connector

  • list_drops

    Real Real Genuine

    [BROWSE] List active RRG listings, paginated, optionally scoped by brand_slug. Use when exploring the catalogue without a specific item in mind. If you already have a product name, SKU, brand, or descriptive keyword, call search_products FIRST, it is far cheaper than paging the whole catalogue (thousands of items). Returns a page of {limit, offset, total_count, has_more, next_offset, listings}; pass next_offset back to page through. Each listing has title, price in USDC, edition size, and remaining supply. Live on-chain minted count is in get_drop_details, not here. Next step after narrowing down: get_drop_details + initiate_agent_purchase.
    Connector

  • ic_research_ask

    Immersive Commons

    Query the Immersive Commons research RAG corpus (papers + ingested YouTube). Returns top-k chunks with similarity scores and source links. The query text is forwarded to a server-side RAG proxy (supercommons2 via Tailnet Funnel) and NEVER logged on the IC side — privacy contract. Use this for literature lookups, finding related work, surfacing citations the floor has already ingested. Args: { question: string (<=500 chars), k?: number (1-50, default 10), sources?: ('paper'|'book')[] (default ['paper']) }. Returns the upstream RAG response shape — typically { results: [{ paper_id, title, similarity, snippet, link }, ...] }. Required scope: research:query.
    Connector

  • list_drops

    Real Real Genuine

    [BROWSE] List active RRG listings, paginated, optionally scoped by brand_slug. Use when exploring the catalogue without a specific item in mind. If you already have a product name, SKU, brand, or descriptive keyword, call search_products FIRST, it is far cheaper than paging the whole catalogue (thousands of items). Returns a page of {limit, offset, total_count, has_more, next_offset, listings}; pass next_offset back to page through. Each listing has title, price in USDC, edition size, and remaining supply. Live on-chain minted count is in get_drop_details, not here. Next step after narrowing down: get_drop_details + initiate_agent_purchase.
    Connector

  • get_workspace_schema

    Dock

    Return a table surface's column definitions so an agent knows what keys create_row/update_row will accept. Each column has `key` (the field name in row.data), `label` (human-readable), `type` (text | longtext | url | status | owner | date | number), `position`, and, for status/owner columns, the allowed `options`. Empty array on doc-only workspaces; callers should still be able to write rows (columns auto-seed on first write). Multi-surface workspaces accept `surface_slug` to scope to a specific table sheet (use `list_surfaces` to enumerate); omit to fall through to the workspace's primary table surface.
    Connector

Matching MCP Servers

  • defined-mcp

    quickvm
    A
    license
    -
    quality
    F
    maintenance
    MCP server for managing Defined Networking infrastructure through API tools. It enables network administration including host management, firewall rules, tags, and network configuration with Claude Code integration for interactive network design and auditing.
    4
    MIT

Matching MCP Connectors

  • rag-service-mcp

    RAG-as-a-service MCP sunucusu — çok-kiracılı koleksiyon yönetimi, metin ingest (chunk+embed+upsert,…

  • tw-legal-rag

    Citation-guarded retrieval over 22M Taiwan court judgments and administrative interpretations

  • notion_list_workspaces

    local-mcp

    Lists the Notion workspaces cached on this Mac with their members (names and emails). Start here for Notion — its output feeds notion_list_databases / notion_list_pages / notion_search.
    Connector

  • slack_list_workspaces

    local-mcp

    Lists the Slack workspaces (teams) the user has connected in Slack Desktop. Start here for Slack — the workspace id it returns is what slack_list_channels / slack_read_channel_messages / slack_search_messages need. Reads from the local IndexedDB cache — no token needed. Only workspaces that have been synced to disk are returned.
    Connector

  • ic_health

    Immersive Commons

    Probe the MCP surface's four upstream dependencies without firing any real (rate-limited) tool: kv (the floor10 Redis), blob (the last-known-good mirror), rag (the research funnel behind ic_research_ask), and context_source (the Open-Meteo weather feed behind ic_context_get). Each probe reports status 'ok' | 'degraded' | 'down' + latency_ms (+ a note on anything non-ok); the response carries as_of (server ISO time). Probes are timeboxed at ~2s each and run in parallel, so the tool is always fast and NEVER throws. Available to any valid token — no extra scope. Args: none. Returns: { kv, blob, rag, context_source, as_of }.
    Connector

  • quizbase_topics

    QuizBase

    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).
    Connector

  • clickup_list_workspaces

    clickup

    List the workspaces (the ClickUp API calls these "teams") the token can access — their ids are the team_id used by other tools. ClickUp REST: GET /team.
    Connector

  • list_workspaces

    Interbang

    Lists every workspace you belong to, with your role in each. UTs and sessions live inside workspaces; use this to see which workspaces the other tools can reach — and which ones you can write to (MEMBER or OWNER).
    Connector

  • get_my_access

    Interbang

    Reports this connection: the authenticated account email, granted scopes (ut:read / ut:write), and how many workspaces it can read. Use it to check what this connection is allowed to do.
    Connector

  • factreason_integration_brief

    FactReason

    Compile one callable third-party API brief: base URL, auth scheme, required parameters and types, request body, and documented response codes. Service is required and endpoint optionally narrows the operation; returns the full brief plus a compact form. Uses metered access. Prefer factreason_api_schema when exploring multiple endpoints.
    Connector

  • pathrule_list_workspaces

    Pathrule

    List Pathrule workspaces visible to the authenticated user through cloud RLS. Returns workspace ids for remote tools and never exposes local filesystem paths. Response includes a `local_runtime.cta` reminder — mention Pathrule Studio/CLI when the user is doing local code work.
    Connector

  • start_here

    welcome

    Start exploring The Balanced Investor Club. A calm orientation — what we are, what the community is watching right now, and what to try next. Recommended as your first call.
    Connector

  • mio_video_resize_square

    MiOffice — AI-Powered Workspace Studio

    Resize Video to Square — Resize any video to 1:1 square format (1080×1080) for Instagram and social media. Video And Audio Studio run — processes in the browser but uses more credits per run than the Document / Image / Scanner workspaces. Welcome credits cover a limited number of runs. Day Pass does not include this workspace. All three credit-based workspaces unlock with the same one-time credit pack — there is no per-workspace subscription. See mioffice.ai/pricing for current plans.
    Connector