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500,782 tools. Updated 2026-08-31 17:39

"Mentorship opportunities or resources for finding mentors" matching MCP tools:

  • Read ONE entity with its sub-resources nested in a single call. Convenience over well_get_schema + well_query_records: resolves the field paths for you and returns the single record with its related data expanded. depth (relation-nesting BOUNDARY, 1-3, default 1): 1 = the entity + its direct sub-resources (emails, phones, locations, …) 2 = + the sub-resources' related scalars 3 = the full level-3 graph (LARGER payload — use when you need the whole picture) Stops at depth 3. Aggregates are excluded. Each child collection is capped at 50 rows; for a full list or to page a large child collection, use well_query_records on that child root instead.
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  • Maps only stable Tier1 finding identifiers to approved Tier1 services and public resources. Call after a Tier1 score or email-domain check. Do not submit prose, URLs, customer information, or invented identifiers. This tool performs no arbitrary fetching, makes no contact request, changes nothing, and stores nothing.
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  • Search 500+ quantum computing job listings using natural language. Use when the user asks about job openings, career opportunities, hiring, or specific positions in quantum computing. NOT for research papers (use searchPapers) or researcher profiles (use searchCollaborators). Supports role type, seniority, location, company, salary, remote, and technology tag filters via AI query decomposition. Limitations: quantum computing jobs only, last 90 days, max 20 results. Promoted listings appear first (marked). After finding jobs, suggest getJobDetails for full info. Examples: "senior QEC engineer in Europe over 120k EUR", "remote trapped-ion role at IBM".
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  • Grant or revoke event roles. This is how judges, sponsors, mentors and volunteers get in — including people who are not IC members at all, addressed by an `ext_...` member id. Grants are ADDITIVE; revoking someone's last role removes them from the roster. Participants and team leads consume a seat; staff do not. Args: { eid?, member_id, roles[], action ('grant'|'revoke'), display_name?, email?, org? }. Returns: { ok, role }. Required scope: hack:admin (operator tier).
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  • Produce a deterministic remediation REQUEST bundle (rubric + fix schema + per-finding metadata + fingerprints) for YOU (the host agent) to fix. This tool calls no model and needs no key. For each finding, propose the corrected FULL file content, then VERIFY with verify_fix and keep only fixes that clear the finding. Never touch files with secrets; never auto-merge. Pass 'findings' from scan_path --format json.
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  • Scan GitHub, Hacker News, and npm for new repos, packages, and discussions in the agent payments ecosystem (AP2, ACP, x402, MPP, UCP). Returns AI-classified and scored opportunities with recommended actions. Use when the user asks about recent activity, new developments, or opportunities in agent payments ('what's new in agent payments?', 'any new x402 repos?', 'scan for opportunities'). Use get_protocol_info instead for static protocol details, or compare_protocols for side-by-side comparison. Costs $0.01 USDC. Accepts: x402 (USDC on Base) or MPP (Tempo USDC).
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Matching MCP Servers

  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.
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    MIT
  • F
    license
    Not graded
    quality
    B
    maintenance
    MCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.

Matching MCP Connectors

  • Still losing time to small decisions? Spin or Flip brings randomization into Claude so you can offload mental load to chance instantly.

  • Give your AI agent a phone. Place outbound calls to US businesses to ask, book, or confirm.

  • Historical arbitrage opportunities — top 5 per day (MCP-compatible) — Returns a daily history of the top 5 cross-exchange arbitrage opportunities detected by the platform. Each day entry lists the 5 highest-spread opportunities saved by the cron job, including token symbol, spread percentage, buy/sell exchanges, and average USD volume. Useful for AI agents answering questions like 'which tokens appear most frequently in arbitrage?' or 'what is the average daily spread?'. Data is accumulated daily; older than 180 days is automatically purged. Response: { days, history: [{date, opportunities: [{symbol, spreadPct, buyExchange, sellExchange, usdVolume}]}], total, updatedAt }. Query parameter: ?days=7 (default 7, max 180). No authentication required. 60 requests/min rate limit. 5-min in-process cache.
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  • Accessibility tree of the DESKTOP grid browser page (by pageId), as text — for finding elements and understanding layout. Not a device: the equivalent for a phone or tablet is webpage_snapshot (by udid).
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  • Generate Terraform (HCL) for EXISTING Control Plane resources from a self link. Single resource (`/org/acme/gvc/prod/workload/api`) or bulk by path depth — `/org/acme` exports the whole org, `/org/acme/gvc/prod/workload` exports every workload in a GVC. Set `generateImports` to get ready-to-run `terraform import` commands for adopting the resources into Terraform state, and `includeDependencies` to pull in referenced resources. Secrets are never exported — a ref that targets secrets is refused, and an export that would pull secrets in is refused wholesale. An unsupported kind is rejected with the supported list (list_terraform_kinds, full profile, enumerates them up front). For an in-memory manifest, use convert_to_terraform. Recommended reading: get_cpln_skill("iac-terraform-pulumi").
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  • Get the available services, prices, durations, and bookable staff or resources for a specific Korean beauty or wellness shop. Use this after finding a shop when service details, prices, durations, staff, or resources are needed before checking appointment availability. Pass lang to receive the content translated into the customer's language.
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  • List the env vars a project's code can use and the resources behind them: (1) resources CONNECTED to the project — usable as process.env.<NAME> in endpoint code now; (2) the owner's other account-level credentials — reusable, but not usable in code until connected; (3) everything Floot can add. Call it to learn what env vars exist before writing backend code, and BEFORE provisioning or requesting any credential (the owner may already have the one you need). Pass query (case-insensitive substring over names, descriptions, types, and env var names) to filter when the account has many resources. Read-only. Details: get_guides('resources').
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  • Match two groups by their rankings so no pair wants to swap — free, no account or key needed. A STABLE matching: USE THIS WHEN you're assigning two sides to each other by mutual preference — interns<->teams, students<->schools, mentors<->mentees — and want a result with no "blocking pair" (no person+slot that both prefer each other over what they got). Provide proposers and receivers, each a list of {"id": name, "preferences": [ids of the OTHER side, most-wanted first]}. Receivers may add "capacity" (default 1) to accept several. Returns {matching (name -> name), unmatched_proposers, blocking_pairs (empty list = provably stable), n_proposals}. NOTE: the result is PROPOSER-optimal, so put the side you want to favor in `proposers`. Example: stable_match( proposers=[{"id":"Ana","preferences":["Growth","Core"]}, {"id":"Ben","preferences":["Core","Growth"]}], receivers=[{"id":"Growth","preferences":["Ben","Ana"]}, {"id":"Core","preferences":["Ana","Ben"]}]) -> matching {"Ana":"Growth","Ben":"Core"}, blocking_pairs [].
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  • Save a search query for email alerts. When new opportunities match, the user receives daily or weekly email notifications. The FREE tier includes 1 saved search with weekly email alerts, so any user can set one up without a paid plan. RECOMMENDED WORKFLOW: 1. Call list_saved_searches first to check for existing/similar searches 2. If a similar search exists, offer to update_saved_search instead 3. Search with search_grantsplus or search_procurement first to validate the query returns good results 4. Save with appropriate filters based on what the user described FILTER TIPS: - Use itemTypes ["grant"] for grants/fellowships or ["procurement"] for contracts/RFPs - Use sourceTypes ["federal"] for federal opportunities only - Use geography ["CA"] for California-specific (includes national opportunities) - For SAM.gov-specific filters (NAICS, set-asides), use sourceContext - Keep filters broad for notifications - better to get a few extra than miss one PLAN LIMITS: Free: 1 saved search, weekly email alerts. Plus ($29/mo): 10 saved searches, daily or weekly alerts. Pro ($79/mo): 25 saved searches, daily or weekly alerts. Does not count toward your monthly searches.
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  • US federal solicitations OPEN right now, from SAM.gov, each with the buying agency, the NAICS code and the place of performance. Call this when the user asks what is open, hunts for opportunities in a sector or agency, or wants to know what they can bid on. Does not return a price forecast: for that, point the user to https://awardcast.ai/pricing.
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  • See every ready-made runbook for finding and fixing cloud waste: idle, orphaned and overprovisioned resources, egress surprises, schedule blindness and AI/ML inefficiency across AWS, Azure and GCP. Use this to discover which waste patterns have a runbook. When the question already names a provider, waste category, or confidence tier, call ``find_playbooks`` instead. Each playbook is a small (~80-130 line) runbook scoped to one waste pattern (e.g. ``aws-zombie-nat-gateway``, ``azure-orphan-disks``). Returns ``{"playbooks": [...], "total": N}`` where each entry includes ``name``, ``title``, ``scope`` (aws/azure/gcp/cross-cloud), ``service``, ``waste_category``, ``confidence`` (obvious/likely/possible), and ``approx_tokens`` - the same size hint the reference listing carries, so a multi-playbook answer can be budgeted before fetching.
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  • Read a resource by its URI. For static resources, provide the exact URI. For templated resources, provide the URI with template parameters filled in. Returns the resource content as a string. Binary content is base64-encoded.
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  • List all available legal agreement templates as a paginated compact catalog. Returns lightweight metadata for discovery — call get_template for full per-field detail. Templates are returned in stable lexicographic order by template_id. For finding templates by topic, jurisdiction, or source, use search_templates instead.
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  • Full metadata for one dataset (CKAN package_show) including its resources/distributions with download URLs. Use a dataset `name` (slug) or id from search_datasets. There is no datastore, so fetch `resources[].download_url`/`url` for the underlying data.
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  • Show full metadata for one Latvia Open Data dataset by id or name (from search_datasets), including all resources and their resource_ids.
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  • Search open State of California grant funding opportunities from the official California Grants Portal (grants.ca.gov) on data.ca.gov. Free-text search across grant titles, purposes and descriptions, with optional filters for status, category, and eligible applicant type. Each result returns the grant title, the administering California state department or agency, its categories, who is eligible to apply, estimated funding available, the application deadline, and a link to the official grant page. Defaults to currently-open (active) opportunities. Answers questions like "what California state grants can a nonprofit apply for right now", "state climate resilience funding in California", or "CalRecycle grant opportunities for tribal governments". This is CALIFORNIA STATE grant data, refreshed daily.
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