"Todo List for Remote Management of MCP" matching MCP tools:

• search_content

  flevy

  Search Flevy's marketplace of consulting frameworks, PowerPoint templates, Excel financial models, business toolkits, and management case studies. Use this whenever a user needs a best-practice framework, methodology, template, financial model, or real-world case example on any business or management topic (strategy, digital transformation, supply chain, pricing, operational excellence, M&A, etc.). Returns up to 10 relevance-ranked recommendations across two content types: "document" (premium documents authored by management consultants) and "case_study" (management case studies). ALWAYS include each recommended item's url as a clickable link when you mention it in your reply — never reference a document without its link, because the link is the only way the user can open it. Each result carries a content_id for get_content_details. Filters: topic (single, or "topics" for documents covering ALL of several topics), author (list more documents from an author seen in results), filetype (including tier1_consulting_deck for McKinsey-style strategy decks), content_type. Topic-filtered responses also list related_topics to pivot to. Provide at least one of query, topic(s), or author; use list_topics to map user phrasing to a canonical topic.

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• check_mcp_server

  MCP Surface Lint

  Statically audit an MCP tool surface from a public HTTPS URL or tools/list snapshot. Returns deterministic scores and findings without invoking any target tool or making LLM calls. When the user asks to check another installed MCP server, read that server's complete tool definitions from client context and pass them as snapshot (MCP `name` or Cursor-style `tool` both work; do not use file paths or $ref). If those definitions are unavailable, ask the user for its public endpoint or tools/list JSON instead of inventing an audit.

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• xer_parser

  cpp-cpm-engine

  Parse a Primavera P6 XER file and return a TABLE SUMMARY (not the full row-level data — XER row dumps explode the MCP context window). For each table in the XER, returns the table name, field list, and record count. Per-row data is intentionally omitted — for forensic / DCMA / windows analysis use the dedicated tools (``forensic_windows_analysis``, ``critical_path_validator``, etc.) which consume the parsed XER internally and return analytical summaries, not raw rows. Use this tool to confirm an XER is parseable, list its tables, see the data date / project name from PROJECT, or count activities in TASK before deciding which deeper tool to run. Args: xer_path: server-side filesystem path to the XER file. xer_content: full text of the XER file (alternative for hosted/remote use). Supply EXACTLY ONE of path/content. Returns: { "filepath": absolute path, "encoding_used": "utf-8" | "cp1252" | ..., "ermhdr": file header dict (P6 version, export user, etc.), "tables": [{"name", "fields", "record_count"}, ...], "table_count": int, "total_records": int, "project_summary": { "proj_id", "proj_short_name", "proj_long_name", "data_date", "plan_end_date" } (from first PROJECT row, if any) }

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• open_project_workspace

  XMemo

  Open the Project Workspace. With no project reference it always opens Project Workspaces Home — the caller's authorized project list — even when exactly one project is accessible. An exact project_id, or a project name/alias matching exactly one authorized project, opens that project's eight tabs (overview, memory, todo, decisions, documents, conversations, timeline, settings); multiple or no matches return Home with candidates or an honest no-match state. For a quick text-only status, blockers, or next-actions answer use get_project_summary. Explicit standalone TODO or Ledger intent keeps using open_todo_board or open_ledger.

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• firecrawl_parse

  firecrawl-mcp

  Parse one supported document into markdown, HTML, links, summary, targeted answers, or JSON matching a schema. Supported inputs include common HTML, PDF, Word, RTF, OpenDocument, and spreadsheet files; PDF parsing can be bounded with `pdfOptions.maxPages`. Local MCP reads `filePath` from the server filesystem. Hosted MCP uses two calls: first provide `filePath` to receive upload instructions, upload locally, then call again with the returned `uploadRef`; do not send both fields together. Remote web URLs belong in `firecrawl_scrape`. Set `redactPII` to request redaction of personally identifiable information in the returned content. `zeroDataRetention` requires an eligible authenticated account; omit it for anonymous keyless use. Returns upload instructions for hosted phase one or parsed document content for the final call.

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• list_api_reference_pages

  docs-mcp

  List pages in Redpanda API reference documentation. Returns endpoints, schemas, and topic pages with URL, title, type, and description. SCOPING (important for accurate results): - api="all" or omit: Lists all available APIs - api="admin": Cluster management operations (brokers, partitions, configs, users) - api="cloud-controlplane": Redpanda Cloud resource management (clusters, networks, namespaces) - api="cloud-dataplane": Cloud cluster data operations (topics, ACLs, connectors) - api="http-proxy": Kafka operations over HTTP (produce, consume, offsets) - api="schema-registry": Schema management (register, retrieve, compatibility) Use this to browse API structure. For general Redpanda docs, use ask_redpanda_question instead.

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• set_board_mode

  cnvs.app

  Choose whether this board is a freeform whiteboard ('draw', the default) or a kanban task board ('todo'). Mode is switchable WHENEVER the board is empty of real content: drawings (text/strokes/images) and tasks. Empty or seeded columns DON'T count (switching to 'draw' clears them), so a cleared board can be switched again, and you can flip draw<->todo freely until the first stroke/text/image or task lands. Setting 'todo' auto-seeds three starter columns (To do / In progress / Done). Returns `{ mode, columns }`. Use the task/column tools (`create_task`, `create_column`, …) once the board is in 'todo' mode.

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• list_vps

  eqvps

  List the account's ACTIVE VPS services — active, provisioning, and suspended servers (deleted/cancelled are excluded). Use the `id` as `service_id` for the management tools. If a server is missing from this list it has been deleted — do not query its status or try to manage it.

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• forget

  XMemo

  Delete one memory, TODO, or Ledger transaction by natural target ('latest', 'current', an exact memory ID (with memory_id accepted as an equivalent exact-reference alias), an exact TODO ID from the current TODO listing, or an exact Ledger transaction ID from ledger(action='list')). Defaults to a recoverable soft delete (restore later with restore_memory); pass mode='hard' only after the user has explicitly confirmed a permanent, unrecoverable deletion in this conversation. Call this only when the user explicitly asks to delete a specific memory, TODO, or expense/income record; list/search or check activity first if the target is ambiguous.

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• customer_tiering_get_prep_code

  Customer Intelligence & Segmentation

  STEP 1 of 3 for the cheap sandbox path. Returns stdlib-only Python as `prep_code` (compact) and `prep_code_display` (readable, same logic), plus `reduction_spec` in words. Next: run one of those scripts (or your own from the spec) on the local CSV in your sandbox, then call customer_tiering_score_stats with the printed JSON. If the host needs code review first, show prep_code_display and wait for the user to say run/continue — then continue; do not invent a pause on hosts that allow silent runs. Python → MCP across turns is valid (ChatGPT Instant multi-step regressions are a host issue; Thinking/Auto or the next user turn still works). Do not invent rankings. If any step fails, fall back to customer_tiering with raw rows. This remote MCP NEVER reads the file — do NOT pass uploaded/attached file objects or platform upload handles. Call with no path args (preferred), or sandbox_path_hint as a plain string like 'book.csv'. Prefer this over customer_tiering when you have >~200 rows and a sandbox.

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• report_build_status

  Forge Engine

  Report a SYSTEM's status (todo|in-progress|implemented) — DIRECT, live. ALWAYS pass files (full list — it REPLACES); non-todo with no files shows done-but-EMPTY. 'implemented' counts as VERIFIED only when every UNIT-TESTABLE ## Acceptance bullet is backed via evidence[{criterion,proof}]; a bullet tagged [manual]/[e2e]/[ui]/[wip] is EXEMPT (verified by manual/e2e). Otherwise it's a CLAIM (verified:false) and the response names the unbacked criteria. TWO tiers: VERIFIED = a test is NAMED; GREEN (guarantee) = you RAN the test and reported `passed:true` on the evidence — green goes stale after 21 days, so re-run to keep it.

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• pathrule_get_local_runtime_upgrade

  Pathrule

  Explain what Pathrule CLI (power-user, terminal-first) and Pathrule Studio (GUI) unlock beyond Remote MCP. Call this when the user asks 'is there a better way?', 'why do I need to install something?', wants hook-level automation, or wants to compare surfaces. The response splits the pitch by audience (CLI for terminal-first, Pathrule Studio for GUI) and explains the real token-savings angle: hooks fire before every AI tool call and inject context for free, while remote MCP is manual mode where the AI spends tokens on each context fetch.

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• dropyour_list

  Dropyour

  List your drops. With an account token: all LIVE drops attached to your account (across sessions and channels — manageable without managementToken). Anonymous: only the drops published during this MCP session. Management tokens are never stored server-side.

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• meta_capabilities

  Colour Memory

  Return a live inventory of all active endpoints and MCP tools. Use this first to discover what the API can do before making calls. Returns tool count, endpoint list, MCP-exposed tools, and usage notes. Deterministic -- no LLM cost.

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• list_starter_prompts

  Vocab Voyage

  Lists Vocab Voyage's MCP starter prompts (also exposed via the standard MCP prompts/list endpoint). Useful for hosts that don't yet support prompts/list.

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• company_search

  Drillr — The financial MCP for AI agents

  Use for qualitative company discovery (industry, business model, supply chain, competitors, management background). For numerical screening (revenue, margins, ratios, growth rates) use run_sql on company_snapshot instead. Drillr's company knowledge base — searchable across industry classification, product offerings, business model, segment structure, competitive landscape, supply chain, management background, and customer profile. Coverage: US, Japan, Hong Kong, China A-shares, and Korea. `market` accepts one lowercase value or a list from `us | jp | hk | cn | kr`; omit it or pass `[]` for all five. List order does not set priority. Pass a natural-language description (for example, "Hong Kong and China EV battery suppliers"). Returns a structured list of matching companies with context snippets. ONLY for finding a LIST of companies by description.

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• list_loadouts

  MCPExplorer

  List curated loadouts — deliberately-assembled kits of MCP servers + governance + plays for a specific job (GTM, coding, research, support, infra). The agent-facing version of the /loadouts product. Use get_loadout for the full kit with live trust.

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• list_jurisdictions

  Lawstronaut

  List all jurisdictions (countries/states) available in the Lawstronaut legal corpus. Call this FIRST when answering legal questions so you know which "iso" codes are valid for the other tools. Result is cached for the MCP process lifetime Returns: {data: [{"name": "Belgium", "iso": "BE", "type": "country"}, ...]} - Full list of jurisdiction objects including names, iso, and type

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• delete_mcp_server

  AgentPlaybooks

  Disconnect an MCP or OpenAPI server from this playbook. The remote server is not shut down; only this playbook's connection record is removed. Requires playbooks:write or full permission. Use update_mcp_server to change configuration without disconnecting. Pass playbook_id as the UUID or GUID of the playbook this call should target.

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• list_skills

  Costory: Your Finops MCP

  List available Costory MCP workflow skills (skillId, name, description) from the remote skill catalog. Call this when you are unsure which skillId to load, then call get_skill with the chosen skillId. If already known (virtual-dimensions, dashboards, reports, query, recipes), you may skip this and call get_skill directly. EXAMPLE: "Which workflow guides can I load?" → {}

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