"A server for exploring GrydFlo Memory Matrix" matching MCP tools:

• distance_matrix_haversineA

  Moltline OptimizeA

  Straight-line (great-circle) distance matrix from coordinates. FREE. Typical input {"points": [{"id": "depot", "lat": 51.5, "lon": -0.12}, {"id": "A", "lat": 51.52, "lon": -0.1}]} returns {"matrix": [[0, 2.6], [2.6, 0]], "unit": "km", "kind": "straight-line (haversine), not road distance"}. Use when you have no road matrix and a straight-line approximation is acceptable, or to sanity-check one. Not road routing: real driving distances are longer and the difference is not uniform. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "points must be a list of at least two <value> objects"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.

  ConnectorNo auth

• get_project_memoryA

  QuillHubA

  Fetch the AI-maintained memory document for a project or workspace — the best single source for a handoff-style briefing. Sections include purpose, glossary, key people, activity digest, and routing signals, distilled across all meetings. Pass EXACTLY ONE of `project_id` (project memory) or `workspace_id` (workspace-level memory); get ids from `list_workspaces`. Returns the memory as rendered markdown plus `updated_at`. Start here for "give me a summary / bring me up to speed on project X" questions, then drill into `find_subjects`/`search_meeting_transcripts` for specifics.

  ConnectorOAuth

• check_textA

  WSC - Writing Style CheckerA

  Analyze text for writing style issues: weasel words, passive voice, duplicate words, long sentences, nominalizations, hedging, filler adverbs, and research-cited AI tells. Read-only and stateless — text is analyzed in memory on the hosted server and never stored. Returns a plain-text report with each issue's line and column, the matched text, surrounding context, and the reason for AI tells; texts over 100,000 characters return an error message. This hosted server has no filesystem access — the wsc-mcp npm package adds a check_file tool for local files. It only reports issues — to auto-remove duplicate words, follow up with fix_duplicates.

  ConnectorNo auth

• check_textA

  Writing Style CheckerA

  Analyze text for writing style issues: weasel words, passive voice, duplicate words, long sentences, nominalizations, hedging, filler adverbs, and research-cited AI tells. Read-only and stateless — text is analyzed in memory on the hosted server and never stored. Returns a plain-text report with each issue's line and column, the matched text, surrounding context, and the reason for AI tells; texts over 100,000 characters return an error message. This hosted server has no filesystem access — the wsc-mcp npm package adds a check_file tool for local files. It only reports issues — to auto-remove duplicate words, follow up with fix_duplicates.

  ConnectorNo auth

• get_leadproof_evaluation_pathA

  LeadProof Sales AgentA

  Use first when a buyer is exploring LeadProof without supplying workflow data. Returns the official no-purchase sequence: buyer guide, fictional example audit, browser-only calculator, public workflow tests, and no-card trial. For a scored workflow diagnosis, use audit_lead_workflow; for replay testing, use get_leadproof_replay_trial; for paid checkout, use get_leadproof_checkout only after authorization.

  ConnectorNo auth

• get_session_usageA

  RoutebaseA

  Return usage metrics for the current MCP session: total tool calls, error count, aggregate duration and response size, per-tool call counts, and session timestamps. Metrics are in-memory and reset when the server restarts or the session goes idle. Use this for what this session has spent; for which toolsets exist at all use list_toolsets.

  ConnectorAPI key

• h2h_matrixA

  Cito APIA

  Multi-player tennis head-to-head grid: every pair's series record in one comparison matrix. When to use: - Draw/field analysis: how each contender fares against every other (e.g. Alcaraz vs Zverev vs Sinner round-robin records) - Group-stage or semifinal-field comparisons Prefer over: N head_to_head calls for an N-player field; raw matrix via call_api. Do not use when: a two-player rivalry deep-dive with tiebreak/decider splits → head_to_head; season stat leaders → leaderboard_*; rankings → standings. Tennis-only. players takes 2-16 ids or names (names resolve via player search). Each matrix cell is "W-L" from the row player's perspective, "-" on the diagonal. Parallel-safe: yes. Upstream cost: 1 + one search per unresolved name.

  ConnectorNo auth

• get_account_metricsA

  SocialGPTA

  Get per-platform engagement (views / likes / comments / shares) as a time series over the trailing window_days (default 28, up to 365). Omit account_id to aggregate across all connected accounts, or pass one from list_accounts; optionally filter to a single platform. post_limit (≤100) fixes how many recent posts form the baseline. granularity buckets the series server-side ('daily' default, 'weekly', or 'raw' for every scrape). Read `series` (a clean per-platform list of typed points) — `metrics` is the legacy column/data matrix kept for back-compat. NB: follower counts here are latest-only; for audience growth over time use get_follower_history.

  ConnectorOAuth

• dropyour_write_dataA

  DropyourA

  Write a drop's app data — replace the shared-memory state (the JSON key/value object mirroring the app's localStorage), so you can update what the app holds (mark a task done, add a row…). Read it first with read_data, modify the object, write it back WHOLE. Only works on a drop with server memory (an account drop) — an anonymous drop's data lives in the browser and can't be written here. expectedVersion (from read_data) is REQUIRED: the write is rejected (version_conflict) if the data changed meanwhile — re-read and retry, so you never overwrite blindly. For a fresh state, read_data returns version 0. With an account token, owned drops need no managementToken.

  Connector

  Destructive

  No auth

• virtual_dimension_overlap_matrixA

  Costory: Your Finops MCPA

  Compute a lower-triangular overlap matrix for ordered virtual dimension rules (read-only). `virtualDimensionId` in inputs equals `id` from list/get/search. When includeDraft is true (default), operates on the latest **pending** draft if one exists (`draftPersisted: true`); otherwise analyzes published rules in memory **without creating a draft** (`draftPersisted: false` — not publishable). Set includeDraft false to force published order regardless. Trailing 30 days when from/to are omitted (optional `from`/`to` override the window). Returns overlaps for all named rules (excludes leftover). `position` (from get) and `ruleIndex` (here) refer to the same 0-based ordinal; ordered rules are [...rules, leftover] with leftover at index rules.length (excluded from this matrix). Returns overlaps[{ ruleId, ruleTargetId, ruleIndex, ruleTargetIndex, overlapCost }] where ruleTargetIndex <= ruleIndex. Diagonal entries (ruleId = ruleTargetId) are each rule's raw membership cost; off-diagonal entries are shared spend shadowed by the earlier rule. costMetric selects the cost column (default cost); valid ids: cost, effective_cost, list_cost, contracted_cost (also accepts contracted_costs), unblended_cost, net_unblended_cost, amortized_cost, net_amortized_cost. EXAMPLE: "Show rule overlap for Environment VDIM" → { virtualDimensionId: "<virtualDimensionId from create/list>" }

  ConnectorOAuth

• aidefense_locate_conceptA

  website-searchA

  Reverse-lookup a single concept ID (MITRE ATLAS technique like 'AML.T0051', OWASP LLM Top 10 risk like 'LLM01', OWASP Agentic Top 10 issue like 'ASI03', or ISO 42001 Annex A clause like 'A.6') across the AI Defense Matrix. Returns which framework the concept belongs to, the asset rows whose alignment cites it, the cells whose evaluation cellPrompts cite it, and those prompts themselves. Useful when a vendor's product is defined by a specific technique ('we defend AML.T0051') and they need to find which matrix cells to claim. Recognizes only concepts with structured IDs; for prose-only frameworks (NIST IR 8596, CSA AICM, Google SAIF, OWASP AI Exchange) use aidefense_get_framework_alignment instead. This server never requests your program docs or product roadmap and instructs your AI to keep them local—the matrix, framework alignments, and playbooks flow to your AI for local analysis.

  ConnectorNo auth

• compute_correlation_matrixA

  kwantA

  Compute the pairwise return-correlation matrix for a list of tickers. Fetches each ticker's daily history over range, converts it to daily returns, and computes the pairwise Pearson correlation (aligned on shared dates). Requires at least two tickers; tickers that cannot be fetched are dropped and noted in warnings (at least two must survive). Returns the standard envelope; values holds range, the tickers used, and matrix — a nested dict {rowTicker: {colTicker: correlation}} with a 1.0 diagonal. (paid: $0.0100/call)

  ConnectorNo auth

• manage_memoryA

  WorkingMemoryA

  Manage an existing memory item. Currently supports deleting a memory by id (soft delete — recoverable for 30 days). Use search_memory to find the id first.

  Connector

  Destructive

  No auth

• project_getA

  RiddleA

  Returns one project by id - id, name, image and the authenticated user's permission matrix for it. The id comes from project_list or from the "team" of riddle_get. The project's default Riddle settings are NOT included; they are a large nested tree with its own tool, project_get_settings.

  ConnectorNo auth

• project_getA

  Riddle Quiz MakerA

  Returns one project by id - id, name, image and the authenticated user's permission matrix for it. The id comes from project_list or from the "team" of riddle_get. The project's default Riddle settings are NOT included; they are a large nested tree with its own tool, project_get_settings.

  ConnectorNo auth

• list_capabilitiesA

  Cito APIA

  Curated catalog of cito-mcp tools, games, jobs, and builder recipes. When to use: - Session start or "what can you do?" - Mapping app screens to tools - Filtering by game or job (live_board, match_page, team_page, player_form, standings, h2h, schedule, preview, event_card, app_scaffold) Prefer over: guessing from memory; exploring raw OpenAPI via call_api. Do not use when: you already know the tool and have IDs — call that tool directly. Parallel-safe: yes. Upstream cost: 0. Example: { "game": "cs2", "job": "live_board", "includeExamples": true }

  ConnectorNo auth

• geo_distanceA

  MapMapA

  Distance in metres between two coordinates. Computed geodesically on the WGS84 ellipsoid, so it is the straight-line (as-the-crow-flies) distance, NOT a driving distance — use `route` or `matrix` for travel distance and time. Local computation: no network call, no quota.

  ConnectorNo auth

• route_planA

  Moltline OptimizeA

  Order up to 12 stops into the shortest single-vehicle route on your distance matrix. FREE. Typical input {"stops": [{"id": "depot"}, {"id": "A"}, {"id": "B"}], "matrix": [[0, 5, 9], [5, 0, 4], [9, 4, 0]]} returns {"routes": [{"vehicle": 0, "stops": [...], "distance": 18.0}], "total_distance": 18.0, "solver_status": "FEASIBLE", "note": "..."}. The matrix is in your units (km, minutes, cost) and must be square with the depot at index 0 unless depot says otherwise; optional demand per stop with vehicle_capacity turns it into a capacity check. Use for one driver's day or a courier's loop. Not for several vehicles or time windows: use route_plan_fleet. Not a map service: bring your own distances or call distance_matrix_haversine for straight-line values. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "stops must be a list of stop objects, depot first"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.

  ConnectorNo auth

• agent_processesA

  Netmon (demo)A

  List running processes on an agent-managed device — live read via the agent tunnel. Wraps POST /api/getDeviceProcesses (permission: devices). Returns rows as reported by GETPS: (process id, name, parent, memory, etc. — exact shape depends on the agent version). Common diagnostic patterns: pair with agent_services to answer 'is the SQL Server service running but stuck?'; correlate top memory/cpu processes with eventlog_search criticals. Read-only by design — the process-kill endpoint (KILLPS) is deliberately NOT exposed via mcpmond. Server-side timeout is 60s; expect 400 if the device is offline or not enrolled. Example: agent_processes({device_id: 42})

  ConnectorNo auth

• get_footprintA

  Insurers GlobalA

  Licensed footprint: which legal entity of an insurance group is licensed in which country, with collected branches, EEA freedom-of-services passporting and GLEIF parents. Pass exactly one group slug (from list_groups, e.g. "allianz") for the country × entity matrix, or an insurer slug for that entity alone. A large group returns its whole matrix with a first page of entity records; entitiesPage gives the nextOffset to pass as offset. Licence rows come from the directory registers; relationship enrichment comes from GLEIF and EIOPA. Null or empty enrichment means it has not been collected, not that no relationships exist.

  ConnectorNo auth

• register_agentA

  MatrixAgentNetA

  Step 2 of joining: create a permanent Matrix account with the verified email and receive an API key. Call request_email_code first to get the verificationCode. Returns apiKey and recoveryKey, both shown exactly once: persist them before doing anything else. Only call this if you do not already have a Matrix API key; use whoami to check.

  ConnectorNo auth