"Forwarding Work Requests and Comments to Other Models or Tools" matching MCP tools:

• get_player_templateA

  turnaleA

  A blank Excel workbook the organiser fills in and hands back: Name, Level, Gender, Comments, one player per row, with a sheet explaining each column. Offer it when the organiser has no list ready, asks how to send their players, or would rather work in a spreadsheet than paste names into chat. Needs no key. The file comes back both as a download link and as an attachable file. Reading a filled-in sheet needs no tool: parse it yourself and send the rows to add_players.

  ConnectorNo auth

• estimate-llm-costA

  OptimTokenA

  Cost a workload with EXACT numbers the caller supplies: arbitrary token counts per request and any monthly volume, not just the 10k/100k/1m presets the other cost tools use. Use this for 'about 800 in and 200 out, 4 million calls a month', or to price one named model across every use-case profile. To compare 2-4 named models like for like at a preset volume, use compare-models-side-by-side instead. Provide a model name to get detailed cost breakdowns, or compare costs across all use case presets. Each figure comes twice: list price, and the optimized price achievable with prompt caching and the batch API. IMPORTANT: Report all cost figures EXACTLY as returned. Do NOT add commentary or recommendations beyond the data.

  ConnectorNo auth

• get_pm_playbookA

  AIOProductOS MCPA

  How to operate as a product manager on AIOProductOS. No arguments and no side effects — returns the same operating guide as plain text every call (deterministic): how to ground in the product brain, keep work welded to the spine (insight→feature→task→outcome), prioritise on evidence (affected accounts + MRR + reach), and what 'done' means. Call it FIRST, before planning or prioritising, to load the house rules the other tools assume.

  ConnectorNo auth

• get_available_modelsA

  Gonka Second Opinion (multi-model)A

  List all AI models available on Gonka Network with live pricing. Models work as drop-in replacements for OpenAI and Anthropic — same SDK, same API calls. Use this when user asks which model to use or wants alternatives to GPT-4o / Claude. Returns: model IDs (use directly in openai.chat.completions.create), status, USD per 1M tokens. After this: call calculate_savings() to see annual savings with these models.

  ConnectorNo auth

• cti_get_cross_server_routesA

  website-searchA

  Get Lenny Zeltser's CTI 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 `cti_load_context`. This server never requests your campaign or threat-intel notes and instructs your AI to keep them local—templates and guidelines flow to your AI for local analysis.

  ConnectorNo auth

• pingA

  nara-tourA

  Connectivity check — returns server version and current timestamp. Use to verify MCP server is reachable before calling other tools.

  ConnectorNo auth

• infoA

  systemprompt.io reportsA

  Free usage guide for this server. Explains how the paid report tools work: exact input requirements, per-call pricing, and how to complete payment via x402 (USDC on Base) or Stripe checkout. Costs nothing and never returns a 402. Call this first before any paid tool.

  ConnectorNo auth

• get_cip_vote_outcomeA

  canton-ccpediaA

  Find out whether a Canton Improvement Proposal (CIP) was actually acted on ON CHAIN, and how. Returns every DSO governance vote request whose text cites this CIP, with outcomes and dates. This answers 'was it decided', which the mailing-list tools cannot: get_cip_votes reads the discussion on the cip-vote list, this reads the ledger. Example: CIP-0116 (Featured App Locking) is cited in dozens of requests that paused apps for non-compliance. Canton ecosystem only, not Cardano or other CIP schemes.

  ConnectorNo auth

• list_modelsA

  BridgeNode MCPA

  List available models and their prices — free, no payment, no authentication required. Read-only: no state changes; data is served from the server's local config, so repeated calls return identical results (idempotent). Accepts no parameters: the input schema is an empty object, and any arguments passed are ignored. Calling it without arguments returns the complete catalog with per-token prices; there is no filtering, pagination, or configuration. Use this tool to inspect models and prices before calling the paid chat_completions tool. Same data as GET /v1/models (§5.2). Do not use it to generate text (use chat_completions) or to estimate a specific request's cost (use get_price_estimate).

  ConnectorNo auth

• ado_list_prsA

  ALM X++ MCP ServerA

  [~] PRIORITY TRIGGER: Use this tool when user mentions 'PR', 'Pull Request', 'list PRs', 'show PRs', 'active PRs', 'mes PR', 'liste des PR', 'pull requests ouverts', 'what PRs are open', 'PRs by [author]', 'PRs targeting [branch]'. NEVER call search_d365_code for PR listing requests. List Pull Requests in an Azure DevOps Git repository. If `repositoryId` is unknown, omit it and all repositories will be listed first. Filters: status (Active/Completed/Abandoned/All), author display name, target branch. Returns: PR ID, title, author, source->target branch, review status, linked work items, creation date. Use `ado_analyze_pr_impact` with a PR ID to get full D365 code impact analysis. Requires DEVOPS_ORG_URL + DEVOPS_PAT (Code: Read scope).

  ConnectorNo auth

• colony_get_user_commentsA

  mcp-serverA

  Every comment by one author, newest first. Answers "what has this account actually said". Until now the only way was to paginate the public firehose looking for a name: every other comment tool takes a post_id, ``colony_search_posts`` returns posts and never comments, and ``colony_get_my_actions`` covers only your own account. Give EITHER ``username`` OR ``user_id``. Bodies come back in full; each row carries ``post_id``. What you see depends on who you are: comments on posts in private colonies are visible only to approved members of those colonies. It also excludes deleted comments and comments on deleted, draft, junk-flagged or approval-pending posts, so it can report fewer than the author's profile page shows. Paginate by passing back ``next_cursor`` from a prior call; it is null when there is nothing further.

  ConnectorNo auth

• colony_get_user_commentsA

  The ColonyA

  Every comment by one author, newest first. Answers "what has this account actually said". Until now the only way was to paginate the public firehose looking for a name: every other comment tool takes a post_id, ``colony_search_posts`` returns posts and never comments, and ``colony_get_my_actions`` covers only your own account. Give EITHER ``username`` OR ``user_id``. Bodies come back in full; each row carries ``post_id``. What you see depends on who you are: comments on posts in private colonies are visible only to approved members of those colonies. It also excludes deleted comments and comments on deleted, draft, junk-flagged or approval-pending posts, so it can report fewer than the author's profile page shows. Paginate by passing back ``next_cursor`` from a prior call; it is null when there is nothing further.

  ConnectorNo auth

• regulations_find_commentsA

  federal-regulations-mcp-serverA

  Fetch public comments on a Federal Register document or a Regulations.gov docket — the unique corpus of what citizens and organizations actually submitted. Provide exactly one targeting parameter: docket_id (all comments in a docket, broadest), document_object_id (comments on one document, from regulations_get_docket), fr_document_number (convenience — resolves the FR number to its Regulations.gov document internally), or comment_id (one comment's full detail and attachments). The list endpoint returns no body text or attachment info — call with comment_id to read a comment's body. When a comment's real content is a PDF/DOCX attachment, the body is a stub and attachmentOnly is true; the attachment download URLs are returned. Requires REGULATIONS_GOV_API_KEY (free at https://api.data.gov/signup/).

  ConnectorNo auth

• pinappai_reset_review_dataA

  PinAppAIA

  Permanently deletes a project's review data: all change requests (+ their event history), iterations, reviewer decisions, ALL freeform pins/comments with their screenshots, and the /changes/-page registration tables. NOT recoverable — no grace window. Requires admin role. Ask the user for explicit confirmation before calling, and prefer the /pinappai:reset-project prompt, which also offers to clean up the repo's static /changes/ page and .pinappai/last-applied.json.

  Connector

  Destructive

  No auth

• get_sourcesA

  World MonitorC

  WorldMonitor's live source inventory, for deciding whether and how far to trust what the other tools return.

  ConnectorNo auth

• compare-llm-modelsA

  OptimTokenA

  Browse and filter the whole LLM catalogue and get back a ranked table: price, quality (ELO), efficiency and capabilities. Use this when the user wants to SEE THE FIELD — 'show me models under $1/1M', 'which providers have vision models', 'list open-weight models above ELO 1300'. For a single PICK under a budget use recommend-llm-model; to weigh 2-4 NAMED models against each other use compare-models-side-by-side. Prices come from optimtoken.optimnow.io where reachable; the response's `provenance` says which tier served them and whether they are vendor-verified. Filter by provider, price tier (category), openness, capability, price range, or minimum ELO score. Optionally enrich with business metrics for a use case. Price tier and openness are independent: a model can be Frontier-priced and open-weight at once. Reports both list-price cost and the optimized cost achievable with prompt caching and the batch API. IMPORTANT: Report all prices, costs, and scores EXACTLY as returned. Do NOT add commentary, opinions, or recommendations beyond what the data shows. Present the results as a table and let the user draw conclusions.

  ConnectorNo auth

• compare-models-side-by-sideA

  OptimTokenA

  Compare 2-4 named LLM models against all 8 use-case profiles at a chosen monthly volume, showing list and optimized cost for each. Use when the user names specific models to weigh against each other, rather than filtering the whole catalogue. If they also supply their own token counts, or a volume outside 10k/100k/1m, use estimate-llm-cost instead. Every name is resolved against the catalogue and the result is reported: a name that matched nothing, matched several models, or duplicated an earlier pick is stated explicitly. IMPORTANT: Report all prices and costs EXACTLY as returned, and repeat any name-resolution warning to the user — a missing column is not the same as a model that costs nothing.

  ConnectorNo auth

• get_agent_attestationsA

  AgentWorldA

  [FREE] Read the onchain attestations naming an AI agent's wallet on Base, and what they are worth to SolvScore's underwriting. Accepts an agent name, id, or Base wallet address. Returns points_awarded, whether the wallet carries an unrevoked KYC-backed Coinbase Verified Account, how many attestations were ignored because their attester is not allowlisted, and the EAS schema uids a company can attest into to report work an agent actually delivered. Check this before extending credit, prepaying, or delegating paid work to a stranger. An attestation from an allowlisted attester is third-party evidence; one from an unknown attester is deliberately worth zero, because otherwise agents vouch for each other in a circle. Identity opens a door, delivered work still earns the limit.

  ConnectorNo auth

• ir_get_cross_server_routesA

  website-searchA

  Get Lenny Zeltser's IR 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 `ir_load_context`. This server never requests your incident notes and instructs your AI to keep them local—guidelines flow to your AI for local analysis.

  ConnectorNo auth

• malware_get_cross_server_routesA

  website-searchA

  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.

  ConnectorNo auth

• feature_requestA

  OccamA

  Request a feature that Occam doesn't support yet. Use this when you need a capability that Occam doesn't currently offer. Requests are logged and used to prioritize development. Rate limit: 5 requests/hour per IP, 50/hour global — stricter than the compute tools' 10/hour to prevent log flooding. Descriptions longer than 500 characters are truncated.

  ConnectorNo auth