"A server for helping write blogs" matching MCP tools:

• query_registry

  Arclan MCP Registry

  Search the Arclan registry for MCP servers. By default returns only connectable servers (active, mcp_partial, auth_gated). Use status=stdio to browse local-only servers available for installation. Use status=all to query the full index. Use production_safe=true to restrict to servers with uptime > 97% and handshake success > 95%. Use read_only=true to restrict to servers with no write or exec tools. Use this before connecting to an MCP server to check its validation status and score. After using a server, call report_server to contribute reliability data.

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• cyanheads_describe

  cyanheads-mcp-server

  Return the description and install snippets for a named tool or server. For tools: the description and the server it belongs to. For servers: local (stdio, via npx) install snippets for every published server, plus remote (HTTP) connection snippets when a hosted endpoint exists — for every supported client, or one client via the client parameter. Call cyanheads_search first to find valid names.

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• ping

  Nordic Financial MCP

  Connectivity check that confirms the Nordic MCP server process is responding. Use this at the start of a session to verify the server is reachable before making other calls. Do not use as a proxy for database health — the server can respond while the Qdrant vector database is temporarily unavailable. To confirm data availability, call search_filings directly. Returns: A greeting string: "Hello {name}! Nordic MCP server is running."

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• strale_ping

  Strale - 290+ API capabilities for AI agents

  Checks that the Strale API is reachable and the MCP server is running. Call this before a series of capability executions to verify connectivity, or when troubleshooting connection issues. Returns server status, version, tool count, capability count, solution count, and a timestamp. No API key required.

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• agent_equip_get

  fomox402 — Last-Bidder-Wins on Solana

  Read an agent's STRAT config (the parameters its tower floor runs on). WHAT IT DOES: GETs /v1/agents/:agent_wallet/config. Public read — anyone can audit any agent's strategy. The returned `version` is the CAS token you pass to agent_equip_set as `expected_version` on the next write. WHEN TO USE: before agent_equip_set (to compute the next expected_version), or just to inspect what a competitor's floor is configured to do. RETURNS: AgentConfig — { agent_wallet, version, updated_at, updated_by, config: { strategy, max_bid_raw, cooldown_sec, aggression_bps, custom } }. FAILURE MODES: equip_get_failed (404) — agent has never written a config; treat the version baseline as 0 on the first write. RELATED: agent_equip_set (write), agent_operators_list (who can write).

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• team.summarize

  AI Design Blueprint Doctrine

  Pro/Teams — summarises the caller's tool-usage patterns and value signals over a configurable window (default 30 days). Returns tool_call_counts, top principles cited in validate runs, value_event_counts by event_type, and an aggregate readiness trend. WHEN TO CALL: the user asks 'how is the Blueprint helping me/my team', 'what should I explore next', or 'show me my Blueprint usage'. WHEN NOT TO CALL: proactively or on every conversation turn (the summary is an explicit retrospective, not telemetry); to compare users (returns only the caller's own data). BEHAVIOR: read-only, idempotent over the same window. Aggregates from AIToolCallLog + ValueEvent + AIValidationRunLog. Pass private_session=true to bypass server-side logging for this summary call (the underlying historical data still exists; only this read is untracked). Auth: Bearer <token>, Pro or Teams plan. UK/EU residency.

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• team.summarize

  AI Design Blueprint

  Pro/Teams — summarises the caller's tool-usage patterns and value signals over a configurable window (default 30 days). Returns tool_call_counts, top principles cited in validate runs, value_event_counts by event_type, and an aggregate readiness trend. WHEN TO CALL: the user asks 'how is the Blueprint helping me/my team', 'what should I explore next', or 'show me my Blueprint usage'. WHEN NOT TO CALL: proactively or on every conversation turn (the summary is an explicit retrospective, not telemetry); to compare users (returns only the caller's own data). BEHAVIOR: read-only, idempotent over the same window. Aggregates from AIToolCallLog + ValueEvent + AIValidationRunLog. Pass private_session=true to bypass server-side logging for this summary call (the underlying historical data still exists; only this read is untracked). Auth: Bearer <token>, Pro or Teams plan. UK/EU residency.

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• whoami

  prxhub

  Return who the server sees you as on this MCP session. Use this when you're unsure whether you're authenticated — typically right after register_agent_poll returns approved, to confirm that the current session is now bound to the new agent without having to poke a write tool. Also useful as a first-call diagnostic on any fresh MCP connection. Response: auth: 'anonymous' | 'authenticated' auth_kind: 'mcp_session_binding' | 'bearer' | 'session' | 'signature' | 'none' user_id?: string agent?: { slug, display_name, description?, profile_url } account_type?: 'agent' | 'human'

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• switch_dannet_server

  dannet

  Switch between local and remote DanNet servers on the fly. This tool allows you to change the DanNet server endpoint during runtime without restarting the MCP server. Useful for switching between development (local) and production (remote) servers. Args: server: Server to switch to. Options: - "local": Use localhost:3456 (development server) - "remote": Use wordnet.dk (production server) - Custom URL: Any valid URL starting with http:// or https:// Returns: Dict with status information: - status: "success" or "error" - message: Description of the operation - previous_url: The URL that was previously active - current_url: The URL that is now active Example: # Switch to local development server result = switch_dannet_server("local") # Switch to production server result = switch_dannet_server("remote") # Switch to custom server result = switch_dannet_server("https://my-custom-dannet.example.com")

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• request_chart

  Autario Data Analytics Platform

  AUTARIO-INTERNAL (admin only). HIGH-LEVEL chart request: you do NOT build a spec, but you DO write the insight. TWO-STEP FLOW for a first-try hit: (1) PREPARE - call with dataset_id/query and NO insight; the server composes the chart deterministically and returns charted_entities (the exact entity set it drew, each with latest/peak/trough/average) + chart_type, WITHOUT publishing. IMPORTANT: a multi-country dataset is charted as an ENTITY FAMILY (the top economies, G7, the aggregate rows...), so your insight is verified ONLY against the entities actually in charted_entities | anchor every claim on one of THOSE entities and cite only THOSE per-entity values. (2) PUBLISH - call again with the same dataset_id/query PLUS your 2-3 sentence insight; the server verifies it against the real data (number-hallucination gate) and publishes, returning the URL. The server runs NO LLM of its own (you write the insight). One request = one chart. On reject it returns 422 naming WHICH number/claim failed + the charted_entities + available anchors so you fix in one step. Use THIS over create_chart_from_spec whenever you want "a good chart for this dataset/topic" without assembling a full Builder spec. Non-admin keys receive 403; third parties use create_chart_from_spec / publish_chart.

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• invoke_capability

  Whatcanido — MCP Server for Service Businesses

  Execute a capability call against a chosen provider with typed inputs. WRITE tool when the capability's category ends in '.write' (creates state, sends notifications, charges money, etc.) — confirm with the user before calling for any non-reversible capability. Read capabilities (category ending '.read') are safe to call without confirmation. Validates inputs against the capability's JSON Schema. On failure, returns a structured error with 'missing_fields' or schema violation detail so you can repair without round-tripping. Every call is logged for behavioral telemetry and feeds into the provider's reputation score for future discovery rankings. On success returns a `capability_call_id` plus the capability's declared output fields per its contract.

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• cover_letter_tool

  Workopia

  Write a cover letter for a SPECIFIC job — TWO steps. STEP 1 (default; action omitted or 'prepare'): the server returns the job's JD and the candidate's background, plus writing instructions. YOU (the model) then WRITE the cover letter (250–350 words, specific to the role, mapping the candidate's real achievements to the JD — never fabricate). STEP 2: call this tool again with action:'save', cover_letter_text:<your letter>, and job_id — the server renders a PDF and saves it to the candidate's Workopia dashboard (requires sign-in). Use whenever the user asks for a cover letter for a specific job. Resolving job_id (same rules as tailor_resume_tool / job_detail_tool): pass the **Job Id** value from the most recent prior search/refine result VERBATIM; no placeholders like 'JOB_1' or '#1'. For STEP 1 supply ONE of job_id (preferred — server fetches the JD from Mongo) OR job_description, plus the candidate's resume via resume_text / resume_content / json_resume / user_profile.

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• trips_create

  DC Member API

  POST /trips — Create a trip Create a new trip. Provide exactly one of `placeID` or `eventID` — the server resolves the location (city, country, country code) automatically. Use `GET /places/search` to find a placeID by city/country name first, or pass an `eventID` from `/events` to create a trip to that event's city. **Trip points** (optional `points` array, up to 20 per trip): each item is `{ note: string (max 280 chars), noteHTML?: string, placeID?: string }`. The optional `placeID` is resolved against Google Places at write time and the full Place object (city, country, lat/lon, name, etc.) is stored on the trip — so reads don't do any lookups. `noteHTML` preserves the same rich text field the web trip editor stores for formatted notes, links, and mentions; `note` remains the required plain-text fallback. Notes without a placeID are valid ("remember to book a coworking space"). Pass an unknown / expired Google placeID → 400 with a clear error. ⚠️ WRITE operation: this mutates your DC account data.

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• delete_collection

  Remember Me Collections

  Soft-delete (unpublish) a collection and its verses (restricted: requires X-MCP-Write-Token; owner-scoped). Sets the deleted flag (reversible) rather than hard-deleting, and removes the collection from all public/published listings. You can only delete collections owned by the configured write owner. Args: collection_id: The collection ID to delete.

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• get_world_cup_brief

  voxodds

  Get a citeable World Cup 2026 prediction-market briefing for AI answers, newsletters, blogs, social posts, and creator workflows. Includes the current winner board, tight groups, next match odds, Research Desk theses, source links, and ready-to-paste markdown. Prefer this when the user wants a narrative update or shareable explanation, not just raw odds.

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• malware_get_cross_server_routes

  website-search

  Get Lenny Zeltser's Malware cross-server handoff routes — when this MCP server can't fulfill a request, which other MCP servers (or fallback workflows) to consult. Surfaces a compact subset of `malware_load_context`. This server never requests your sample, analysis notes, or indicators and instructs your AI to keep them local—guidelines and the report template flow to your AI for local analysis.

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• agent_equip_get

  fomox402

  Read an agent's STRAT config (the parameters its tower floor runs on). WHAT IT DOES: GETs /v1/agents/:agent_wallet/config. Public read — anyone can audit any agent's strategy. The returned `version` is the CAS token you pass to agent_equip_set as `expected_version` on the next write. WHEN TO USE: before agent_equip_set (to compute the next expected_version), or just to inspect what a competitor's floor is configured to do. RETURNS: AgentConfig — { agent_wallet, version, updated_at, updated_by, config: { strategy, max_bid_raw, cooldown_sec, aggression_bps, custom } }. FAILURE MODES: equip_get_failed (404) — agent has never written a config; treat the version baseline as 0 on the first write. RELATED: agent_equip_set (write), agent_operators_list (who can write).

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• nanmesh.trust.review

  NaN Mesh

  Cast your expert +1 or -1 review on any entity. Use AFTER evaluating a tool you searched for or tried. Expert reviews are 70% of ranking. One review per agent per entity (overwrites previous). Requires agent_key. For no-auth alternative, use nanmesh.trust.favor instead. AI-native (2026-05-12): pass any of task_type / stack / outcome / errors_encountered to also write a structured execution_report. Your contribution becomes queryable by every future agent (shared operational memory). Server-side `source` is assigned authoritatively from your agent_id and class — your input is logged as a hint.

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• assessment_get_cross_server_routes

  website-search

  Get Lenny Zeltser's Security Assessment cross-server handoff routes — when this MCP server can't fulfill a request, which other MCP servers (or fallback workflows) to consult. Surfaces a compact subset of `assessment_load_context`. This server never requests your assessment notes or report and instructs your AI to keep them local—the templates and guidelines flow to your AI for local analysis.

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• get_vps_recommendation

  Fractera

  Return a single recommended VPS provider for users who do not yet have a server. Call this ONLY when the user explicitly says they have no server. The user buys the VPS at this provider and comes back with IP + password.

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