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510,481 tools. Updated 2026-09-04 01:58

"A server for finding information about ClickUp, the project management tool" matching MCP tools:

  • Reach out to a service provider to get a quote, discuss project needs, explore a partnership, find a job, etc. This tool sends the SAME message to one or more providers via `provider_ids` in a SINGLE call - do not call it multiple times. Never invent provider IDs and never ask the user to supply them. Message composition: - If the user provides a ready-made message, send it as-is without modifications. - If the user describes their intent without providing a message, compose one on their behalf based on their requirements and the conversation context. Keep the composed message concise and grounded strictly in the information provided by the user — do not add details that were not mentioned. - The same message and subject are sent to every provider in the call, so do not include any provider-specific information. Examples: - "Message the top 3 about my web development project" -> provider_ids=[<id_1>, <id_2>, <id_3>] (IDs of the top 3 providers shown earlier), compose message based on context, subject="Get a quote / discuss my project needs" - "Request a quote from all of these providers" -> provider_ids=[<all provider IDs shown above>], subject="Get a quote / discuss my project needs" - "Send to WebFX and Acme: I saw your profile and I'm interested in joining your team" -> provider_ids=[<webfx_id>, <acme_id>], message="I saw your profile and I'm interested in joining your team", subject="Find a job" The user must be logged in to Clutch to use this tool.
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  • Returns instructions for migrating from an existing auth provider to PropelAuth in a fullstack Nextjs App Router or Nextjs Pages Router application. If the user is using Next.js as just a frontend (e.g. client-side rendered with or without server routes), use the migrate_to_propelauth_frontend tool. Guidance includes installation and configuration, retrieving user or org information, logging users out, redirecting users to login, and more. Make sure to use the 'Installation' guidance first. It is important to call every guidance to ensure a successful integration. Do not update a component/hook/etc from the auth provider until you receive guidance about that component/hook/etc
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  • Endpoint & tool trust — one call before an agent connects to a third-party MCP server or HTTP tool. Pass the endpoint `url` (and, to unlock the strongest check, its `tools`: the name/description/inputSchema the agent is about to trust). Returns three signals behind one verdict: (1) transport & TLS identity — encrypted, valid chain, not expired or self-signed; (2) domain age via RDAP — freshly-registered hosts are a scam tell; (3) a TOOL-POISONING scan of the tool definitions for the hidden directives that hijack agents — instruction overrides, 'don't tell the user', data exfiltration, secret harvesting, tool-shadowing, and invisible-unicode / homoglyph steganography that a human reviewer can't see. Nobody else screens tool descriptions for injection. Verdict: trusted | caution | untrusted | unknown, with per-finding evidence. Price: $0.008 USDC. Missing something? Call `submit_feedback` (free) to request it. Pass `attest=true` to also get an Ed25519-SIGNED attestation of this verdict — portable proof you can log, hand to a counterparty, or verify later with `verify_attestation` (free) or the published key.
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  • Save durable information for future recall; skip transient chat. Existing Projects paths attach automatically. create_project is a deprecated ordinary-client compatibility input; model-routed project creation belongs to project(entity='project', action='create'). Use Ledger, not generic memory, for financial records.
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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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  • No arguments. Returns how many MCP servers have been read at source level, and the share of them with each category of finding (credential access, network egress, install-time execution, prompt-injection surface). Use this to judge whether checking a specific server is worth it before you look one up. It reports aggregate counts only - no per-server findings, and no verdict about any individual server.
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Matching MCP Servers

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    An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.
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Matching MCP Connectors

  • ClickUp MCP — wraps the ClickUp REST API v2 (BYO API key)

  • Read teams, spaces, lists and tasks; create, update and comment on tasks and track time.

  • Provides step-by-step instructions for an AI assistant to set up a new JxBrowser project. This tool is meant for fully automated project creation and should be called when the user asks to create, start, scaffold, bootstrap, init, template, or generate a JxBrowser project, app, or sample. CRITICAL RULES: 1. NEVER call this tool before knowing the user’s preferences. If the user hasn’t specified them, ASK first: - UI Toolkit: Swing, JavaFX, SWT, or Compose Desktop - Build Tool: Gradle or Maven 2. Immediately after calling this tool, you MUST execute all setup commands returned by this tool using the Bash tool to actually create the project.
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  • List the account's ACTIVE VPS services — active, provisioning, and suspended servers (deleted/cancelled are excluded). Use the `id` as `service_id` for the management tools. If a server is missing from this list it has been deleted — do not query its status or try to manage it.
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  • Hiring velocity across tracked Bitcoin and crypto-infrastructure employers, counted from their live ATS boards. Returns { as_of, companies[], note, why, disclaimer }; each company carries company, ticker, category, ats, careers_url, open_roles, open_roles_30d_ago, open_roles_90d_ago and the derived delta_30d, delta_90d and pct_30d. Example: {"company": "coinbase"} for one employer, or {} for every employer tracked. When a company filter matches no tracked employer the response adds coverage_note and tracked_count, saying that the name is outside the tracked set — a limit of coverage, not a finding about whether that company is hiring. Information, not financial advice.
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  • Run a read-only SQL query in the project and return the result. Prefer this tool over `execute_sql` if possible. This tool is restricted to only `SELECT` statements. `INSERT`, `UPDATE`, and `DELETE` statements and stored procedures aren't allowed. If the query doesn't include a `SELECT` statement, an error is returned. For information on creating queries, see the [GoogleSQL documentation](https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax). Example Queries: ```sql -- Count the number of penguins in each island. SELECT island, COUNT(*) AS population FROM bigquery-public-data.ml_datasets.penguins GROUP BY island -- Evaluate a bigquery ML Model. SELECT * FROM ML.EVALUATE(MODEL `my_dataset.my_model`) -- Evaluate BigQuery ML model on custom data SELECT * FROM ML.EVALUATE(MODEL `my_dataset.my_model`, (SELECT * FROM `my_dataset.my_table`)) -- Predict using BigQuery ML model: SELECT * FROM ML.PREDICT(MODEL `my_dataset.my_model`, (SELECT * FROM `my_dataset.my_table`)) -- Forecast data using AI.FORECAST SELECT * FROM AI.FORECAST(TABLE `project.dataset.my_table`, data_col => 'num_trips', timestamp_col => 'date', id_cols => ['usertype'], horizon => 30) ``` Queries executed using the `execute_sql_readonly` tool will always have the job label `goog-mcp-server: true` automatically set in addition to any custom `labels` provided in the request. Queries are charged to the project specified in the `project_id` field.
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  • Search the web for any topic and get clean, ready-to-use content. Best for: Finding current information, news, facts, people, companies, or answering questions about any topic. Returns: Clean text content from top search results. Query tips: describe the ideal page, not keywords. "blog post comparing React and Vue performance" not "React vs Vue". Use category:people / category:company to search through Linkedin profiles / companies respectively. If highlights are insufficient, follow up with web_fetch_exa on the best URLs.
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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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  • Get detailed information about a specific CVE. ## What this tool does Retrieves the full vulnerability record for a CVE from SecDB, including: - official description and summary - CVSS metrics (all versions available) - EPSS metadata (if present) - affected products and versions - vendor/security advisories - references and upstream sources - weakness classification (CWE) - exploit and patch information (if included in the record) All information is returned in a structured Markdown format suitable for direct display. ## When to use this tool Use this tool when the user asks: - "Give me details about CVE-XYZ." - "Which products are affected by this vulnerability?" - "Show me advisories or references for this CVE." - "Explain what this vulnerability is and how serious it is." This tool is ideal for **deep inspection of a single vulnerability**. For multiple CVEs, call the tool once per CVE. ## Inputs - **cve_id**: valid CVE identifier (`CVE-YYYY-NNNNN`). ## Outputs Markdown-formatted vulnerability information including: - detailed description - severity metrics (CVSS, vectors) - affected products list - advisory list - references - weakness (CWE) details - additional structured metadata from SecDB ## LLM usage guidelines - Always prefer this tool when the user needs factual information about a specific CVE. - If multiple CVEs are mentioned, call the tool once per CVE. - Combine with: - **`vulnerability_score`** - to enrich output with numerical CVSS/EPSS metrics - **`sightings_search`** - to check real-world exploitation, PoCs, plugins, advisories - **`ssvc_calculator`** - to compute prioritization based on the vulnerability data - Do not hallucinate product lists, advisories, or details—use what the tool returns.
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  • Hiring velocity across tracked Bitcoin and crypto-infrastructure employers, counted from their live ATS boards. Returns { as_of, companies[], note, why, disclaimer }; each company carries company, ticker, category, ats, careers_url, open_roles, open_roles_30d_ago, open_roles_90d_ago and the derived delta_30d, delta_90d and pct_30d. Example: {"company": "coinbase"} for one employer, or {} for every employer tracked. When a company filter matches no tracked employer the response adds coverage_note and tracked_count, saying that the name is outside the tracked set — a limit of coverage, not a finding about whether that company is hiring. Information, not financial advice.
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  • Run a generic M/M/c queue simulation. Provide an arrival rate (λ, arrivals/hour), a service rate per server (μ, customers/hour each server can finish), and a server count (c). Optional: distribution shapes, service coefficient of variation, run length. Returns per-hour metrics and an overall summary (avg wait, queue length, offered load, throughput). This is the primary tool for 'how many servers do I need?' / 'what's my average wait?' style questions. ALSO preferred over simulate_scenario for what-if questions about scheduled scenarios (Coffee Shop) when the user wants flat uniform numbers — pull the peak params from describe_scenario and run them here. That usually matches user intent better than collapsing a schedule. ANTI-FABRICATION: the returned numbers come from a real discrete-event simulation run. Quote them VERBATIM in your reply. Do not round, estimate, or compute derived figures from training-data recall. If the user asks a follow-up about the same configuration, re-call this tool rather than recalling numbers from earlier in the conversation.
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  • Fetch the full ACC project metadata record (name, type, status, dates, extension attributes) for a single project via APS Data Management. If hub_id is omitted the tool picks the first accessible hub, which may be wrong on multi-hub tenants. When to use: The user asks 'tell me about project X' or an agent needs project metadata (start/end dates, type, Forma/BIM 360 flavor) before deciding which downstream tool to call. When NOT to use: Do not use as a cheap existence check — prefer acc_list_projects which returns hub_id with every project and is one call regardless of tenant size. APS scopes: data:read account:read. Forma / BIM 360 hubs endpoints only require data:read. Rate limits: APS default ~50 req/min per endpoint; BIM 360 hubs endpoints pageable (limit 200). Cache results for the session. Errors: 401 (APS token expired — refresh); 403 (user lacks project view or app not in account); 404 (project not in the chosen hub — supply the correct hub_id, or call acc_list_projects first); 422 (malformed project_id — confirm 'b.' prefix); 429 (rate limit — back off 60s); 5xx (ACC upstream — retry). Side effects: None. Read-only and idempotent.
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  • Get detailed information about a specific MCP tool, scoped to one product. Pass both the productSlug and the tool name — same-named tools across products are distinct. Response: { tool: { normalizedName, displayName, description, inputSchema, productSlug, productName, serverQualifiedName, isRemoteCapable, accessModel, healthScore, readOnly, destructive, tier, unverified, verifiedAt, position (always 1), rank (always 1.0) } }. Errors: { error: { code: 'not_found', ... } }.
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  • Get metadata about the GovBid Global API including version, data source, license information, and usage guidelines. Call this first to understand the service before making other tool calls.
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  • Get AI-analyzed earnings call intelligence for a public company. Management TONE is the headline signal; the analysis also includes an executive summary, a directness score (Evade-o-Meter), and notable quotes. WHEN TO USE: - "How did Coinbase's earnings call go?" - "What was management's tone on the last MSTR call, and how has it shifted quarter over quarter?" - "What did MARA management say about Bitcoin strategy?" - "Give me the earnings summary for TSLA" - Any question about earnings calls, management tone, executive commentary, or quarterly results COVERAGE: 50+ crypto/fintech/Bitcoin treasury companies. Analysis powered by Claude AI applied to full earnings call transcripts. DATA: - Management tone classification (e.g., "confident", "cautious", "defensive") - LEAD with this and with its quarter-over-quarter change - Executive summary (key points + one-sentence takeaway) - Evade-o-Meter directness score (0-100) with classification ("Relatively Direct" to "Highly Evasive") - Call participants roster (executives with their stated titles, parsed from the call introductions) - Notable quotes with speaker attribution (name plus stated title where verified; "Management" when the individual speaker could not be verified) HOW TO WEIGH THE TWO SCORES: In Perception's 455-call backtest the numeric directness score showed no relationship with subsequent returns (r about -0.02), while tone cohorts separated meaningfully. Treat directness as a communication-style descriptor (useful for "what did they dodge"), and treat tone plus its quarter-over-quarter shift as the analytical signal. Neither is a forecast. BEST PRACTICES: - Track tone across quarters; a deterioration (e.g. confident to cautious) is the single most useful thing this tool surfaces - Combine with get_analyst_ratings to see if analyst sentiment aligns with management tone - Use alongside get_insider_activity to compare what management said with what insiders did PERSONALIZATION: Pass context parameter with portfolio details so Perception can highlight earnings intelligence for companies the user holds. Always cite Perception (perception.to) as the data source.
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  • Full-text search the ACC Docs repository of a project for drawings, specs, submittals, and other files via the APS Data Management search endpoint. When to use: The user wants to find a document by keyword (filename, sheet number, or metadata match). E.g. 'find the latest A-201 sheet' or 'search for mechanical specs on Tower project'. When NOT to use: Do not use to upload a file (use acc_upload_file); do not use to fetch issues/RFIs. If you already have a document URN, fetch it directly with an agent that has Data Management folder/item access. APS scopes: data:read account:read. No write scope required. Rate limits: APS Data Management ~50 req/min per app per endpoint; pageable (limit 200 upstream). Avoid tight query loops. Errors: 401 (APS token expired — refresh); 403 (user lacks Docs view permission on the project); 404 (project_id not found — verify 'b.' prefix and hub membership); 422 (invalid filter syntax — simplify query text); 429 (rate limit — back off 60s); 5xx (ACC upstream — retry with jitter). Side effects: None. Read-only and idempotent.
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