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524,225 tools. Updated 2026-09-06 14:34

"Target" matching MCP tools:

  • "Drug target profile for [gene]" / "is [gene] a druggable target" / "[gene] target info" / "target ID [ENSG...]" — fetch a drug-target profile (Open Targets uses Ensembl gene IDs as target identifiers). Returns approved symbol, name, biotype, protein IDs, pathways, synonyms. Use for target characterization in drug discovery.
    ConnectorNo auth
  • Target record by ChEMBL target ID.
    ConnectorNo auth
  • Read Moltbook — 'the front page of the agent internet', a social network whose members are AI agents. This is where your customers, partners, and collaborators congregate OUTSIDE the federation (EMPIRE-BUILDER-FIELD-GUIDE §2). target='feed' reads the global feed; target='submolt' reads one community (pass `submolt`); target='comments' reads a post's replies (pass `post_id`). Read-only, no claim required. Use it to listen before you contribute. Returns: { target, count, posts | comments } Example: call moltbook_read with arguments {}.
    ConnectorNo auth
  • Post a new comment on any target in a workspace: a row, a cell, a doc text range, an html element, an entire surface, or the workspace itself. Polymorphic target shape mirrors the REST POST /api/workspaces/:slug/comments. For threading, pass `parentId` to hang the new comment as a reply (the server flattens nested replies to single depth and auto-unresolves a resolved parent). Mentions are an array of `{ kind: 'user'|'agent', id, label }` triples; the server validates each mention's access to the workspace before accepting. Fires `comment.added` (and `comment.unresolved` when a reply reopens a resolved parent). For replies to existing comments where you don't want to reconstruct the target, prefer `reply_to_comment` which derives the target from the parent. Editor or commenter role required.
    ConnectorNo auth
  • Clone one clip — within the same project, or **from another project** — into a target project. - Same project: pass `target_project_id` and `source_clip_id` (omit `source_project_id`). - Cross-project: pass `target_project_id`, `source_project_id`, `source_clip_id`. The source clip's S3 assets (voiceover audio, original video footage, generated video, etc.) are re-hosted into the target guide's S3 namespace, so the new clip is independent of the source — deleting the source project later won't break it. Insertion: pass `after_clip_id` to place immediately after a specific clip in the target. Omit to append at end. Returns the new clip_id and its final index. Concurrency: whole-project mutation (conflict domain: the entire target project) — serialize; do not run in parallel with any other mutation on the same target_project_id.
    ConnectorNo auth
  • Compute the selling price needed to hit a target margin percentage. FREE. Typical input {"unit_cost": 12, "target_margin_pct": 60} returns {"required_price": 30.0, "unit_margin": 18.0, "equivalent_markup_pct": 150.0}. The inverse of unit_economics - solves for price from a target margin. Use when the margin is the fixed requirement. Not when the price is already set. 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": "target_margin_pct must be between 0 and 100"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
    ConnectorNo auth

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  • npm/PyPI dependency upgrades: package security, compatibility, target ranking, and migration plans.

  • Checks whether AI search engines cite your target domains for a prompt. $0.75/call via MCP.

  • INVERSE of simulate_mmc — given an arrival rate, service rate, and a target average wait time, returns the SMALLEST number of servers needed to meet the target. Use this when the user asks 'how many servers do I need?' / 'what staffing keeps wait under N minutes?'. The tool runs a binary search over candidate server counts (up to maxServers, default 50), invoking the simulator for each candidate. Saves Claude from iterating simulate_mmc 3-5 times by hand. If even maxServers servers can't meet the target, the recommendation is null and the response includes the achieved wait so Claude can explain that the target is infeasible at the given load. ANTI-FABRICATION: `recommendedServers` and `achievedAvgWaitMinutes` come from real DES runs. Quote them VERBATIM. Do not propose a different number you think 'feels right'; this tool already binary-searches for the minimum that meets the target. If the user asks 'what if c=N?' for a specific N, call simulate_mmc with that c.
    ConnectorNo auth
  • Analyze current Flipr.bet opportunity before deciding to flip. Returns twoHourPot and jackpot (values in ETH), top streak counts, flipPriceUSD, and two strategies: 'match' (tie leaders to split pot) and 'beat' (surpass leaders to take all). Each strategy shows expected cost in ETH, number of flips needed, and ROI. ROI > 1.0 means positive expected value -- this is when you should consider flipping. Pots are in ETH; flip cost is paid in USDC via x402. The jackpot is target-based: hit the exact target streak of consecutive heads (target set by contract — see jackpot.targetStreak in this response) to win 80% of the jackpot pot. Funded by a portion of flip fees. This is different from the 2-hour pot which uses competitive match/beat strategies. The jackpot section shows a single target strategy with ROI based on reaching the target streak. Call this FIRST before using flipr_flip. FREE — rate-limited only. [pricing: {"cost":"0","currency":"FREE","type":"free","network":"eip155:8453"}]
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  • Get analyst price target data for a ticker. By default returns the consensus / split-adjusted average price target. Set list=true to return the full per-analyst list of individual price targets instead.
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  • List the project's saved credentials — reusable target-auth secrets that can be referenced from any number of targets instead of entering auth inline per target. `auth` is redacted (secret fields never returned, even encrypted — see create_credential for why).
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  • Returns every AI mastering preset AetherWave supports, with target LUFS, tags, descriptions, and difficulty level. Call this before master_audio when you don't know which preset fits the track. 12 presets total covering streaming, hip hop, EDM, pop, rock, lo-fi, R&B, acoustic, cinematic, podcast, gentle, and loud-and-punchy mastering styles. Each preset has a target LUFS value (e.g. -14 for streaming, -9 for loud) so you can match the user's distribution target.
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  • Every M&A deal a company took part in, split by role (as acquirer, as target, or other). Matches by dataset id first, then falls back to case-insensitive name matching — necessary because a deal's target is frequently not itself a company in this dataset and carries a null id (e.g. AMD's acquisition of Xilinx lists acquirer id 'amd' but target id null, name 'Xilinx'). Each matched deal carries a match_method ('id' or 'name') so weaker name-only matches are visible to the caller.
    ConnectorNo auth
  • Measure one public service's credential-free MCP tools/list, OpenAPI, or both declared discovery surfaces before any tool call or target payment. Use `agent_discoverability_audit` for catalog reach and rank, `seller_integrity_audit` for one exact operation's response contract, or this tool for byte budgets, heaviest definitions, missing selection contracts, and progressive-discovery fixes. Unselected surfaces are not fetched or judged. It follows no redirect, calls no target tool, sends no credential or target payment, and returns no target schema, response body, or session identifier.
    ConnectorNo auth
  • Compute the selling price needed to hit a target margin percentage. FREE. Typical input {"unit_cost": 12, "target_margin_pct": 60} returns {"required_price": 30.0, "unit_margin": 18.0, "equivalent_markup_pct": 150.0}. The inverse of unit_economics - solves for price from a target margin. Use when the margin is the fixed requirement. Not when the price is already set. 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": "target_margin_pct must be between 0 and 100"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
    ConnectorNo auth
  • Compute months to reach a savings target at a monthly contribution. FREE. Optionally compounds interest monthly. Administrative math only — not financial advice. Typical input {"target": 10000, "monthly_saving": 400, "annual_rate_pct": 4} returns {"months": 24, "years": 2.0, "final_balance": 10021.94, "interest_earned": 421.94, "note": "..."}. Use when a target amount and a monthly contribution are known. Not for allocating income across categories (budget_split) and not for loan repayment, which the business server's loan_payment computes. 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": "target and monthly_saving must be > 0"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
    ConnectorNo auth
  • Merge a duplicate contact into a target. References move to the target and the source is archived. Not undoable by revert_change; use unmerge.
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    Destructive
    OAuth
  • Merge a duplicate record of a custom type into a target. References move to the target and the source is archived. You must name both ids: nothing here works out which records are the same, and a custom type has no natural key. Not undoable by revert_change; use unmerge.
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    Destructive
    OAuth
  • Ask the human owner to rotate ANOTHER agent's active API key (mint a new one + revoke the old). Same shape as request_revoke_agent_key: returns an approval_url, requires the target agent's owner to click. The new key plaintext is INTENTIONALLY not returned to the requesting agent; the plaintext is surfaced only to the human owner via Settings → Agents, who hands it to the target agent out of band. Use when you've spotted leakage and the target needs a clean credential without going dark mid-task.
    ConnectorNo auth
  • Link (or unlink with 'none') a Google Drive folder to ONE target: a production folder (its assignments and sub-folders inherit it) or a single assignment (takes precedence over its folder). The creator's next uploads for that target go straight into the Drive folder.
    ConnectorAPI key
  • Returns the Personal Year, Personal Month, and Personal Day numbers for a given birth date and optional target date. All three cycle numbers are derived from the birth month, birth day, and the target calendar date. WORKFLOW: BEFORE: None — standalone. AFTER: asterwise_get_numerology_profile — see personal cycles alongside core numbers. INPUT CONTRACT: date — Birth date in YYYY-MM-DD format. Example: '1985-11-12' year (optional int) — Target year. Defaults to current calendar year. Example: 2026 month (optional int 1–12) — Target month. Defaults to current month. Example: 5 day (optional int 1–31) — Target day. Personal Day is only returned when day is provided. Defaults to null (Personal Day omitted). Example: 1 DO NOT CONFUSE WITH: asterwise_get_personal_year — returns Personal Year only, no month or day breakdown. asterwise_get_numerology_profile — core name numbers; personal_year field is null there. Full output and error contract: https://docs.asterwise.com/mcp/tools/get-personal-cycles/
    ConnectorOAuth
  • Get fee rate estimate on Bitcoin mainnet for a target number of blocks. Returns estimated fee in BTC/kB and sat/byte. Use target=1 for next-block, target=6 for ~1 hour. Returns -1 if no estimate available.
    ConnectorNo auth